<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.122019.2</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Observation of SARS-CoV-2 genome characteristics and clinical manifestations within eight family clusters from GH and GK clades in Jakarta, Indonesia</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 2 approved with reservations, 2 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Ibrahim</surname>
                        <given-names>Fera</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3732-0812</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Natasha</surname>
                        <given-names>Augustine</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Yasmon</surname>
                        <given-names>Andi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Fithriyah</surname>
                        <given-names>Fithriyah</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Karuniawati</surname>
                        <given-names>Anis</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Rahmawaty</surname>
                        <given-names>Rivia Gina</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Saharman</surname>
                        <given-names>Yulia</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-6065-0329</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sudarmono</surname>
                        <given-names>Pratiwi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Clinical Microbiology Department, Dr. Cipto Mangunkusumo Hospital, Jakarta, Jakarta, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Clinical Microbiology Department, Faculty of Medicine, Universitas Indonesia, Jakarta, Jakarta, Indonesia</aff>
                <aff id="a3">
                    <label>3</label>Clinical Microbiology, Genomik Solidaritas Indonesia Laboratory, Jakarta, Jakarta, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:r.fera@ui.ac.id">r.fera@ui.ac.id</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>16</day>
                <month>10</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>886</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>20</day>
                    <month>9</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Ibrahim F et al.</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/11-886/pdf"/>
            <abstract>
                <p>
                    <bold>Background</bold>: SARS-CoV-2 rapid mutation generates many concerning new strains. Although lockdown had been applied to contain the disease, the household remains a critical place for its transmission. This study aimed to assess the variation of SARS-CoV-2 strains and their clinical manifestations within family clusters in Jakarta, Indonesia.</p>
                <p>
                    <bold>Method</bold>: Naso-oropharyngeal swab specimens from family clusters positive for SARS-CoV-2 were collected for whole-genome sequencing. Their baseline data, symptoms, and source of infection were recorded. The whole-genome data was then analyzed with the bioinformatics program to evaluate the SARS-CoV-2 genome characteristic and submitted to GISAID for strain identification. The phylogenetic tree was built to observe the relationship between virus strain within the family cluster and its clinical manifestation.</p>
                <p>
                    <bold>Result</bold>: This study obtained eight family clusters from twenty-two patients. Half of the cluster&#x2019;s source of infection was a family member who had to work at the office. The infection rate ranged from 37.5% to 100%. The phylogenetic tree showed that the same virus within a cluster could generate various clinical outcomes. Five clusters had one family member with pneumonia, while others had mild to no symptoms. Four breakthrough cases were detected in this study, which were infected by the virus from GH and GK clade.</p>
                <p>
                    <bold>Conclusion</bold>: Our study observed the SARS-CoV-2 transmission to the household setting through the workplace, which might become a common pathway if the pandemic status is removed. Although vaccination is expected to reduce the burden of COVID-19, adequate control measures remain essential, given that breakthrough infections are evident.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>SARS-Cov-2</kwd>
                <kwd>Family Cluster</kwd>
                <kwd>Whole-Genome Sequence</kwd>
                <kwd>Next Generation Sequencing</kwd>
                <kwd>Breakthrough infection.</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/501100021726">
                    <funding-source>Direktorat Riset and Pengembangan, Universitas Indonesia</funding-source>
                    <award-id>NKB-1493/UN2.RST/HKP.05.00.2020</award-id>
                </award-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>There's no change in title and main idea of the manuscript. However, we enhance our picture as requested by the reviewer and add more information into our methods. We also revised our citations and several scientific terms according to the reviewer's comments. However, we stand with our findings of the B.1 strain because it was in circulation since 2020 (as recorded in&#x00a0;
                    <ext-link ext-link-type="uri" xlink:href="https://protect-us.mimecast.com/s/Dh3pCzpBnGH8XKY2kH4bQ61?domain=cov-lineages.org">Cov-Lineages</ext-link>).</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>SARS-CoV-2 was first detected in late 2019; however, its rapid mutations have resulted in several dominant strains that threaten the efficacy of current treatment and control protocols. D614G was the first reported variant to rapidly emerge among the dominant viral strains worldwide.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> It followed by the emergence of the variants of concern, such as Alpha, Beta, Gamma, and Delta, which alternately became the dominant strain in many countries.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> These variants had been reported to have higher transmissibility, more severe clinical manifestations, and the ability to potentially escape the immunity conferred by the current vaccines.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>Lockdown and quarantine have been the main actions applied to contain the spread of SARS-CoV-2 in the population. During the peak of the outbreak, many infected patients had to self-quarantine at home, sharing spaces with their healthy family member, because the hospitals and centralized quarantine facilities were overwhelmed. When the outbreak were subsided, a lot of companies started to encourage their employee to work from office and in-person business meetings were unavoidable. Although to use mask still mandatory in Indonesia, the risk to get infected at work and unknowingly brought them to the household remained. Hence, the household setting became a critical SARS-CoV-2 transmission pathway.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> The rate of secondary transmission among household contacts has varied from 16.6% to 30%.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Household transmission is more challenging to control, given the frequent unavoidable contacts among family members sharing the same facilities at home.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> In addition, transmission within households has been reported to be increased in families of greater size.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> This is concerning for Indonesia because its urban areas are less likely to have a family size of fewer than four individuals.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> The basic reproduction number in Jakarta during the early spread of COVID-19 was 1.75,
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> which has made the household setting one of the vital arenas for COVID-19 transmission in Indonesia.</p>
            <p>SARS-CoV-2 surveillance has been implemented in many referral laboratories in Indonesia since the middle of 2020, and it has supported researchers in examining the dynamics of SARS-CoV-2 variants throughout the year. This study was performed to observe the variation of SARS-CoV-2 strains and their clinical manifestations within family clusters in Jakarta, Indonesia.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Ethics and patient sampling</title>
                <p>This study was conducted after obtaining ethical clearance from the Research Ethics Committee of Universitas Indonesia (protocol number 20-05-0516). Patients were informed before providing written consent. All the patients involved in this study agreed to have their medical information and specimens used for analysis.</p>
            </sec>
            <sec id="sec4">
                <title>Specimen collection and processing</title>
                <p>We selected naso-oropharyngeal swab specimens from family clusters positive for SARS-CoV-2 for whole-genome sequencing, choosing at least two patients to represent each family cluster. The specimens were stored in -80&#x00b0;C from the date of detection to the sequencing process. The 200-&#x03bc;l of specimen extraction was performed according to the manufacturer&#x2019;s instructions (PureLink&#x2122; Viral RNA/DNA Mini Kit, Thermo Fisher Scientific, USA). The real-time reverse transcription polymerase chain reaction (PCR) US Centers for Disease Control and Prevention validation test targeting N1 and N2 was performed according to the manufacturer&#x2019;s instructions (SensiFAST&#x2122;, Meridian Bioscience, USA).</p>
                <p>The total RNA from positive extraction was then cleaned with DNase I and concentrated (RNA Clean &amp; Concentrator
                    <sup>TM</sup>-5, Zymo Research, USA). The libraries were prepared according to the ARTIC multiplex PCR method, using an nCoV-19 V3 panel.
                    <sup>
                        <xref ref-type="bibr" rid="ref10">10</xref>
                    </sup> The libraries were then processed with Oxford Nanopore&#x2019;s GridION sequencer, employing MinKNOW version 20.06.9 and MinKNOW core version 4.0.11.
                    <sup>
                        <xref ref-type="bibr" rid="ref10">10</xref>
                    </sup> High accuracy basecalling was conducted using Guppy version 4.0.11.
                    <sup>
                        <xref ref-type="bibr" rid="ref11">11</xref>
                    </sup> All generated reads were assembled using EPI2ME Labs platform employing ARTIC workflow.
                    <sup>
                        <xref ref-type="bibr" rid="ref10">10</xref>
                    </sup> The sequencing was set to achieve 100&#x00d7; depth of coverage across all targets. Only subjects which pass the cutoff proceeded for analysis. During the time of the study, the Illumina platform was not feasible and Nanopore platform became the supporter for many small study surveillance groups.</p>
            </sec>
            <sec id="sec5">
                <title>Variant analysis and phylogenetic tree construction</title>
                <p>The complete genome sequences were uploaded to GISAID for identification of clade, lineage, and mutations. The nonsynonymous mutation resulted from the GISAID algorithm then extracted as additional data.
                    <sup>
                        <xref ref-type="bibr" rid="ref12">12</xref>
                    </sup> The sequences were further annotated using SnpEff v4.3.
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup> The phylogenetic tree was built using Geneious Prime 2021.1.1, using UPGMA as the tree build method and Tamura-Nei as the genetic distance model, with NC_045512 as the reference sequence.</p>
            </sec>
        </sec>
        <sec id="sec6" sec-type="results">
            <title>Results</title>
            <p>This study included 22 patients from eight family clusters, performed from January 2021 to August 2021. The patient characteristics are shown in 
                <xref ref-type="table" rid="T1">Table 1</xref>. The phylogenetic tree is shown in 
                <xref ref-type="fig" rid="f1">Figure 1</xref>.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Characteristics of the patients included in the study.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Patient</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Cluster</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Sex</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Age range (y.o.)</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Dates of detection</th>
                            <th align="left" colspan="6" rowspan="1" valign="top">Symptoms</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Confirmed pneumonia</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Severity degree</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Vaccination history before infection</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Clade</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Pango lineage</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fever</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Anosmia</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Cough</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Malaise</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Myalgia</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Gastrointestinal problem</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 1</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">A</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20-29</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jan 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.459</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt; 10</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jan 2021</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.459</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 3</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">60-69</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jan 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Moderate</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.459</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 4</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">B</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20-29</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jan 2021</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 5</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50-59</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jan 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 6</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20-29</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jan 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Moderate</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 7</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">C</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">40-49</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jan 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Moderate</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.466.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 8</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt; 10</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jan 2021</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Asymptomatic</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.466.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 9</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt; 10</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jan 2021</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Asymptomatic</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.466.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 10</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">D</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">40-49</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Feb 2021</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.466.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 11</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">40-49</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Feb 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Moderate</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.466.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 12</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10-19</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Feb 2021</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.466.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 13</td>
                            <td align="left" colspan="1" rowspan="2" valign="middle">E</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50-59</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Apr 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes (Sinovac, 2 doses)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.466.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 14</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10-19</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Apr 2021</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Asymptomatic</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.466.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 15</td>
                            <td align="left" colspan="1" rowspan="2" valign="middle">F</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20-29</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">May 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes (Sinovac, 2 doses)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GH</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.1.526</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 16</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">60-69</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jun 2021</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes (Sinovac, 2 doses)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GK</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.617.2 + AY24</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 17</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">G</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">40-49</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jun 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes (Sinovac, 1 doses)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GK</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.617.2 + AY23</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 18</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50-59</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jun 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GK</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.617.2 + AY23</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 19</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50-59</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Jun 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GK</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.617.2 + AY23</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 20</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">H</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">30-39</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Aug 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Moderate</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes (Sinovac, 2 doses)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GK</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.617.2 + AY23</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 21</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt; 10</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Aug 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GK</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.617.2 + AY23</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 22</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50-59</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Aug 2021</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mild</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">GK</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">B.1.617.2 + AY23</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Phylogenetic tree of all the clusters.</title>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/154904/644b7e9e-5f0f-4cc6-8205-19ccc02683af_figure1.gif"/>
            </fig>
            <p>The source of infection in clusters A and D was unknown, and the infections were detected due to the screening program; the source of infection in clusters B, C, E, and F was a family member who had a history of working from the office during the pandemic; the source of infection in cluster G was a family member who had a history of traveling to another province via airplane for business assignments; and the source of infection in cluster H was the nanny who worked in the house during the day. Five patients had been vaccinated, with four of them completing the second dose.</p>
            <p>In clusters C (4 of 4), D (5 of 5), E (5 of 5), F (3 of 3), G (4 of 4), and H (4 of 4), the whole family had become infected with SARS-CoV-2. For cluster A, only three of eight family members became infected with COVID-19. For cluster B, 4 of 5 family members caught COVID-19. The infection rate ranged from 37.5% to 100%.</p>
            <p>Nineteen of the 22 patients isolated at home, with patients six, seven, 11, and 20 having pneumonia during their isolation, but who were not able to be admitted to the hospital because of the lack of available beds. However, these patients had access to the outpatient COVID-19 clinics to obtain doctor assessment, symptomatic medications, and radiology tests. The only patient with pneumonia who was able to be admitted to the hospital was patient three. Most patients did not have their blood tested during their early days after being detected positive due to difficulties reaching the healthcare service at the peak of the first and second wave. The Pango lineages circulating within the clusters were B.1.459, B.1., B.1.466.2, B.1.1.526, B.1.617.2 + AY23, and AY24. Most clusters had the same strain within each patient, except cluster F. For cluster F, patient 16 was detected positive after regular screening because he took care of patient 15, which explains the distance between the dates of the SARS-CoV-2 positive results between the patients.</p>
            <p>This study had 2 dominant clades, GH and GK. The evaluation of the variation rates, transition-transversion (ti/tv) ratio, total single nucleotide polymorphism (SNP), total deletion, total variation, missense-silent ratio, spike (S) and nucleocapsid (N) gene nonsynonymous mutations, and total nonsynonymous mutation are shown in 
                <xref ref-type="table" rid="T2">Table 2</xref>.</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>Bioinformatics analysis results between clade GH and GK.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">GH</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">GK</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Variation rate (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.00083 (0.0002)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.0013 (0.0003)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ti/Tv ratio (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4 (0.83)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.8 (0.10)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Transition (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">40 (12)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">48 (19)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Transversion (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10 (6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18 (9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Total variant (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">25 (6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">40 (9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Total SNP (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">24 (6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">37 (9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Total Deletion (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3 (0)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Missense-silent Ratio (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.11 (0.49)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.4 (1.72)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Total nonsynonymous mutation (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16 (5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">32 (4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Total S nonsynonymous mutation (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3 (1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11 (1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Total N nonsynonymous mutation (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4 (1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Total SNP mutation (Median, IQR)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6 (7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12 (0)</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>In addition, given that the spike gene had the highest number of mutations, the distribution of its nonsynonymous mutations within the patients is shown in 
                <xref ref-type="table" rid="T3">Table 3</xref>.</p>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>Table 3. </label>
                <caption>
                    <title>The distribution of the nonsynonymous mutations of the SARS-CoV-2 spike gene.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Patient</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Cluster</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">A222V</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">D614G</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">D950N</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">E156G</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">F157del</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">G142D</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">H49Y</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">L18F</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">L452R</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">N439K</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">P26L</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">P681R</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">R158del</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">S689R</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">S494P</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">T19R</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">T478K</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">T716I</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">V1264L</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 1</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">A</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 2</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 3
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>*</sup>
                                </xref>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 4</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">B</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 5</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 6
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>*</sup>
                                </xref>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 7
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>*</sup>
                                </xref>
                            </td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">C</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 8</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 9</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 10</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">D</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 11
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>*</sup>
                                </xref>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 12</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 13</td>
                            <td align="left" colspan="1" rowspan="2" valign="middle">E</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 14</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 15</td>
                            <td align="left" colspan="1" rowspan="2" valign="middle">F</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 16</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 17</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">G</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 18</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 19</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 20
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>*</sup>
                                </xref>
                            </td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">H</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 21</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Patient 22</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="middle">+</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <label>*</label>
                            <p>Patients with pneumonia.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
        </sec>
        <sec id="sec7" sec-type="discussion">
            <title>Discussion</title>
            <p>Four clusters in our study had an index patient with a history of working in an office. Cases of SARS-CoV-2 infection from office workers outside the healthcare setting were scarcely reported.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> Six of eight family clusters had a 100% infection rate, showing the efficacy of SARS-CoV-2 transmission within the family group. As reported by several studies, the household infection rate ranged between 75% and 100%.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> The high infection rate within households combined with poor preventive measures in the workplace could generate a spike in COVID-19 cases.</p>
            <p>This study also found SARS-CoV-2 infections in patients who had been vaccinated (breakthrough cases). Infection after complete vaccination was possible, no matter which type of vaccine had been administered.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Duarte 
                <italic toggle="yes">et al.</italic> reported the breakthrough cases mainly were mild, and that other factors might have influenced the symptomatic infections, given that they were not correlated with lack of vaccine-induced immunity.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> Although our study could not represent the general population, the concern of vaccine efficacy in the face of new variants with more mutations has become relevant since Christensen 
                <italic toggle="yes">et al.</italic> reported an increase in breakthrough cases caused by the Delta variant (as part of the GK clade).
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> Therefore, preventive measures such as wearing a mask are still necessary, even after full vaccination.</p>
            <p>The clinical manifestation varied within the patients in each family cluster. This situation was in concordance with several case reports, which have mentioned variations in disease severity within a family cluster.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> However, seven clusters were monophyletic, which showed that the same virus could generate a different outcome. Furthermore, we found the virus genome of the patients with pneumonia was similar to the other patients without pneumonia (
                <xref ref-type="table" rid="T1">Table 1</xref>, 
                <xref ref-type="fig" rid="f1">Figure 1</xref>). No specific variation or combination in the genome mutation could generate a particular clinical outcome (
                <xref ref-type="table" rid="T3">Table 3</xref>). The D614G spike amino acid substitution was also distributed evenly within the patients. This finding was in concordance with Korber 
                <italic toggle="yes">et al.</italic> and Lorenzo-Redondo 
                <italic toggle="yes">et al.</italic>, who noted that the D614G amino acid substitution did not correlate with more severe outcomes.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
            </p>
            <p>Our study showed a ti/tv ratio decline between the GH and GK clades. This decline was in concordance with the study by Duch&#x00ea;ne 
                <italic toggle="yes">et al.</italic>, which revealed the ti/tv scaled negatively over time, especially for rapidly evolving RNA viruses.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> We also found an increase in the GK total spike gene mutations compared with the GH clade. Given that the GK clade appeared later in our study, it was expected to have more mutations because the RNA virus would utilize various mechanisms of genetic variation to guarantee its survival.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> The evolving behavior can facilitate the virus to evade the current vaccine-generated immunity, resulting in breakthrough infections.</p>
            <p>One limitation of our study was the small number of patients and family clusters. This study could not provide serological test results, especially from patients with vaccination history, given that there were no guidelines to confirm an immune response after vaccination. Our study showed that the same virus within a cluster could generate various clinical outcomes. Our observation showed the SARS-CoV-2 transmission in the household setting through the workplace, which could be a common pathway in the future of COVID-19 once the pandemic status is lifted. Although vaccination is expected to reduce the burden of COVID-19, control measures are crucial, given that breakthrough infections due to a new variant are evident.</p>
        </sec>
        <sec id="sec8">
            <title>Data availability</title>
            <p>The virus genome included in this study was published at GISAID with accession ID:</p>
            <p>EPI_ISL_2692986, EPI_ISL_2692987, EPI_ISL_2692989, EPI_ISL_2993633, EPI_ISL_2993659, EPI_ISL_2993632, EPI_ISL_2692990, EPI_ISL_2692991, EPI_ISL_2692992, EPI_ISL_2993434, EPI_ISL_2993539, EPI_ISL_2993658, EPI_ISL_2692909, EPI_ISL_2692981, EPI_ISL_2692983, EPI_ISL_3000155, EPI_ISL_3456060, EPI_ISL_4847411, EPI_ISL_4847413, EPI_ISL_5054899, EPI_ISL_5054915, EPI_ISL_5054918.</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>The authors would like to thank Universitas Indonesia, through PUTI Grant with contract number NKB-1493/UN2.RST/HKP.05.00.2020.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report258846">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.154904.r258846</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Mahardika</surname>
                        <given-names>Gusti N</given-names>
                    </name>
                    <xref ref-type="aff" rid="r258846a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r258846a1">
                    <label>1</label>Udayana University, Jl. Sesetan-Markisa 6A, Denpasar 80223, Bali,, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>26</day>
                <month>7</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Mahardika GN</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport258846" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.122019.2"/>
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                    <meta-value>approve-with-reservations</meta-value>
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        </front-stub>
        <body>
            <p>This paper is presenting Covid-19 metadata of many clusters which is very few available in the literature, therefore it can be indexed for global audience after major revisions</p>
            <p> </p>
            <p> Some suggested revision were as the following</p>
            <p> Specific comments 
                <list list-type="order">
                    <list-item>
                        <p>The phrase/sentences &#x201c;During the time of the study, the Illumina platform was not feasible and Nanopore platform became the supporter for many small study surveillance groups&#x201d; is not needed as the paper is not comparing the methods</p>
                    </list-item>
                    <list-item>
                        <p>The accession number NC_045512 should be given more complete information of original standard strains of Wuhan-Hu-1</p>
                    </list-item>
                    <list-item>
                        <p>On the data availability, please refer to term of use of GISAID data by generating epi data set</p>
                    </list-item>
                    <list-item>
                        <p>Please explain the &#x201c;ti/tv ratio&#x201d; at the first mention</p>
                    </list-item>
                    <list-item>
                        <p>How to calculate &#x201c;The infection rate&#x201d; is not explained. A table explaining the infection rate in specific cluster might display better.</p>
                    </list-item>
                    <list-item>
                        <p>There is an ambiguity in the statement &#x201c;This study had 2 dominant clades, GH and GK&#x201d;. Were there other clades? The English expression needs corrected.</p>
                    </list-item>
                    <list-item>
                        <p>Different of equal Clinical manifestation of each clade as well as with or without vaccination is not explained</p>
                    </list-item>
                    <list-item>
                        <p>The author were choosing at least two patients to represent each family cluster for whole genome sequencing, the number of data but the refers In clusters C (4 of 4), D (5 of 5), E (5 of 5), F (3 of 3), G (4 of 4), and H (4 of 4), the whole family had become infected with SARS-CoV-2. For cluster A, only three of eight family members became infected with COVID-19. For cluster B, 4 of 5 family members caught COVID-19.</p>
                    </list-item>
                    <list-item>
                        <p>There is an ambiguity in the discussion statement &#x201c;Four clusters in our study had an index patient with a history of working in an office&#x201d;&#x2026;first this should be in the result. Second, which was the index case is not pinpointing. Third, what office.</p>
                    </list-item>
                    <list-item>
                        <p>&#x201c;This study also found SARS-CoV-2 infections in patients who had been vaccinated (breakthrough cases)&#x201d; should be polished like &#x201c;a vaccine breakthrough phenomenon was observed in this study&#x201d; or alike &#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>The result is hard to follow. Nineteen of the 22 patients isolated at home, with patients six, seven, 11, and 20 having pneumonia during their isolation, but who were not able to be admitted to the hospital because of the lack of available beds. However, these patients had access to the outpatient COVID-19 clinics to obtain doctor assessment, symptomatic medications, and radiology tests. The only patient with pneumonia who was able to be admitted to the hospital was patient three. Most patients did not have their blood tested during their early days after being detected positive due to difficulties reaching the healthcare service at the peak of the first and second wave. The Pango lineages circulating within the clusters were B.1.459, B.1., B.1.466.2, B.1.1.526, B.1.617.2 + AY23, and AY24. Most clusters had the same strain within each patient, except cluster F. For cluster F, patient 16 was detected positive after regular screening because he took care of patient 15, which explains the distance between the dates of the SARS-CoV-2 positive results between the patients.</p>
                    </list-item>
                </list> The above data might be easier to understand if presented in a table or added in the table 1. The annotation of the patient &#x201c;patients six, seven, 11, and 20&#x201d; should be written as Patient 6, 7, 11, and 20, as it is not counting.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Virology, molecular biology, and bioinformatics</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report295916">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.154904.r295916</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Aiewsakun</surname>
                        <given-names>Pakorn</given-names>
                    </name>
                    <xref ref-type="aff" rid="r295916a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5665-4041</uri>
                </contrib>
                <aff id="r295916a1">
                    <label>1</label>Mahidol University, Bangkok, Thailand</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>19</day>
                <month>7</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Aiewsakun P</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport295916" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.122019.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <bold>Summary of the article</bold>
            </p>
            <p> This work by Ibrahim et al. (first published: 08/2022, latest published: 10/2023) presents an analysis of old SARS-CoV-2 genomes and clinical data collected from 22 patients across 8 families in Jakarta, Indonesia, between 01/2021-08/2021. In accordance with the journal's guidelines (
                <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/for-referees/guidelines">https://f1000research.com/for-referees/guidelines</ext-link>), I will not evaluate its novelty or interest levels, but focus solely on the scientific validity of the article.</p>
            <p> </p>
            <p> 
                <bold>Comments:</bold>
            </p>
            <p> The phylogenetic tree presented in the work is an UPGMA tree constructed using the Tamura-Nei substitution model. From a technical perspective, a maximum likelihood tree or Bayesian tree would be much more superior, and they are not at all difficult to construct (e.g. by using IQ-TREE or BEAST). The nucleotide substitution model should also be properly selected for the analysis (e.g. by using ModelFinder in IQ-TREE), but it is unclear from the text if the Tamura-Nei model is the best-fit model or not. In any case, the authors should reconstruct their tree using best practices for tree reconstruction.</p>
            <p> </p>
            <p> With sequence data from the 22 patients alone, seeing samples from the same household clustering together on the tree does not immediately imply household transmission. To maximally rule out the possibility of (hidden) community-acquired infections, the authors should include as many community samples from the same time and location as possible in the phylogenetic analysis, and see if samples from the same household still cluster together.</p>
            <p> </p>
            <p> In addition, given that the authors have sample collection dates, they should attempt to time-calibrate the tree to see if the estimated timescales are reasonable under the household transmission assumption or not. This additional temporal information would help further justify their conclusions.</p>
            <p> </p>
            <p> Without more rigorous analysis, I feel that the authors should avoid concluding that what they saw were household transmissions despite suggestive patient histories. For example, in cluster F, although the behavioural history strongly suggests that patient 16 likely contracted the infection from patient 15, the phylogenetic tree indicates that they had completely different sources of infection. This gives a clear example of an unexpected result. Thus, the current household infection rates are scientifically unjustified. The authors should recompute and discuss these rates more carefully.</p>
            <p> </p>
            <p> Regarding the statement:</p>
            <p> 
                <italic>&#x201c;In clusters C (4 of 4), D(5 of 5), E (5 of 5), F (3 of 3),G(4 of 4), andH (4 of 4), the whole family had become infected with SARS-CoV-2. For cluster A, only three of eight family members became infected with COVID-19. For cluster B, 4 of 5 family members caught COVID-19.&#x201d;</italic>
            </p>
            <p> These numbers do not match those in Table 1 and sum to 32, not 22. Please clarify these results to avoid misunderstandings.</p>
            <p> </p>
            <p> The results regarding cluster F should be discussed more. The current discussion stating 
                <italic>&#x201c;[f]or cluster F, patient 16 was detected positive after regular screening because he took care of patient 15, which explains the distance between the dates of the SARS-CoV-2 positive results between the patients&#x201d;</italic> appears incomplete. It is not just the dates that differ but also the strains of the viruses. Please discuss more thoroughly.</p>
            <p> </p>
            <p> Regarding the statement:</p>
            <p> 
                <italic>&#x201c;Our study showed a ti/tv ratio decline between the GH and GK clades.&#x201d;</italic>
            </p>
            <p> Please elaborate on why the ti/tv ratio is particularly interesting to consider. Also, could this decline simply be due to the relatively small number of GK samples and their short collection period?&#x00a0;</p>
            <p> </p>
            <p> Regarding the statement:</p>
            <p> 
                <italic>&#x201c;Our observation showed the SARS-CoV-2 transmission in the household setting through the workplace&#x201d;</italic>
            </p>
            <p> No, this conclusion is not supported by the results presented. To assert this, the authors need to also analyse samples from the patients&#x2019; workplaces, which are lacking from the current study. The results should be discussed more rigorously.</p>
            <p> </p>
            <p> Based on the described methods, in addition to demographic and clinical data, the authors likely have RT-PCR CT values as well (?). Why were these data not analysed?</p>
            <p> </p>
            <p> Table 2 description needs improvement. Also, either medians or IQRs are not reported in the table. Please address these issues.</p>
            <p> </p>
            <p> Lastly, throughout the manuscript, there are many grammatical errors and awkwardly phrased sentences that, while grammatically correct, could be better written. Here are 
                <italic>some</italic> specific examples from the introduction:</p>
            <p> 
                <italic>&#x201c;
                    <bold>It</bold> followed by the emergence of 
                    <bold>the </bold>variants of concern,..&#x201d;</italic> could be revised to 
                <italic>&#x201c;
                    <bold>This variant was then&#x00a0;</bold>followed by the emergence of&#x00a0;
                    <bold>several&#x00a0;other&#x00a0;</bold>variants of concern,..&#x201d;</italic>
            </p>
            <p> 
                <italic>&#x201c;&#x2026;sharing spaces with their healthy family 
                    <bold>member</bold>&#x2026;&#x201d; </italic>should be revised to 
                <italic>&#x201c;&#x2026;sharing spaces with their healthy family 
                    <bold>members</bold>&#x2026;&#x201d;</italic>
            </p>
            <p>
                <italic> &#x201c;&#x2026;encourage their 
                    <bold>employee </bold>to work from office&#x2026;&#x201d; </italic>should be revised to 
                <italic>&#x201c;&#x2026;encourage their 
                    <bold>employees&#x00a0;</bold>to work from office&#x2026;&#x201d;</italic>
            </p>
            <p> Additionally, some statements are no longer relevant due to changes in current circumstances. Again, here are 
                <italic>some </italic>specific examples:</p>
            <p> 
                <italic>&#x201c;Lockdown and quarantine have been the main actions applied to contain the spread of SARS-CoV-2 in the population.&#x201d;</italic>
            </p>
            <p>
                <italic> &#x201c;Although [using] masks [is] still mandatory in Indonesia,&#x2026;&#x201d;</italic>
            </p>
            <p>
                <italic> &#x201c;Therefore, preventive measures such as wearing a mask are still necessary, even after full vaccination&#x201d;</italic>
            </p>
            <p> Based on news updates I found on the internet, both lockdown and mask mandates were lifted in Indonesia since late December 2022, for example, making these sentences outdated.</p>
            <p> The authors should carefully review their entire manuscript to correct all errors and revise the text and their discussion to better reflect the current situation.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Genomics, evolutionary analysis</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report146400">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.133953.r146400</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Chaintoutis</surname>
                        <given-names>Serafeim C.</given-names>
                    </name>
                    <xref ref-type="aff" rid="r146400a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1539-8237</uri>
                </contrib>
                <aff id="r146400a1">
                    <label>1</label>Diagnostic Laboratory, School of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>8</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Chaintoutis SC</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport146400" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.122019.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The article "Observation of SARS-CoV-2 genome characteristics and clinical manifestations within eight family clusters from GH and GK clades in Jakarta, Indonesia" by F. Ibrahim 
                <italic>et al.</italic>, provides basically the genetic findings (based on NGS analysis) on the genetic characteristics of SARS-CoV-2 strains retrieved from 8 infected families (&#x201c;family clusters&#x201d;) in Jakarta as of Jan. 2021. In my opinion, the present manuscript has only geographically limited interest and brings limited novel findings to the international scientific community.</p>
            <p> Main concern</p>
            <p> I am concerned about whether the findings are representative of the situation in Jakarta, at the time of sampling, as there is no mention of how the 8 families that were included in the analysis were selected, geographical characteristics, and so on. The authors should present how those family clusters were selected and investigated.</p>
            <p> </p>
            <p> 
                <bold>Specific comments:</bold>
            </p>
            <p> </p>
            <p> 
                <bold>Abstract: </bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>"
                            <italic>Although lockdown had been applied to contain the disease, the household remains a critical place for its transmission.</italic>" The two parts of the sentence are not combinable in a scientific manner. Several measures were applied to contain the disease. And many places remain critical for transmission. This also applies to the introduction.</p>
                    </list-item>
                    <list-item>
                        <p>"
                            <italic>Naso-oropharyngeal swab</italic>..." Do authors mean both nasopharyngeal and oropharyngeal? Please elaborate.</p>
                    </list-item>
                    <list-item>
                        <p>"
                            <italic>The infection rate ranged from 37.5 to 100%</italic>". You mean within families?</p>
                    </list-item>
                    <list-item>
                        <p>"
                            <italic>Four breakthrough cases were detected</italic>..." Do authors mean vaccine breakthrough?</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>Introduction:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>"
                            <italic>D614G was the first reported mutation</italic>..." This is technically an amino-acid substitution. Please, be precise.</p>
                    </list-item>
                    <list-item>
                        <p>"
                            <italic>This mutation then increased and generated the emergence of the variants of concern</italic>". How is this supported? This is scientifically unjustified.</p>
                    </list-item>
                    <list-item>
                        <p>"
                            <italic>This study was performed&#x00a0;</italic>
                            <italic>to assess the variation of SARS-CoV-2 strains and their clinical manifestations within family clusters in Jakarta, Indonesia</italic>". By this, the impression that of large-scale study is being given. However, 8 families were only investigated. This is not representative. How were these family clusters chosen? Was there any reason? There might be a bias in the selection of families/research material, with potential false community representation results.</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>Materials and Methods:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Details on the sequencing methodology and analysis are missing. Herein, sequencing was performed using "Oxford Nanopore&#x2019;s GridION sequencer", with read depth lower than Illumina or Ion Torrent systems usings critical to verify that the identified mutations are not an "artifact" of the sequencing process.</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>References:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Need to be checked and verified.</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>Fig. 1:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>The relevant caption is missing several important pieces of information. What type of tree is this? Many trees are characterized as "phylogenetic trees" Details are needed on how this analysis was performed and the tree was constructed. This information needs to be added to the figure caption. The information provided on the branches is not easy to read and understand.</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>Tables:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Table 1. This table presents Pango lineages (i.e., B.1) that were not anticipated as of January 2021.</p>
                    </list-item>
                    <list-item>
                        <p>Table 2. It is not clear whether the authors mean in fact mutations, or substitutions by "total N mutations", "total S mutations", etc.</p>
                    </list-item>
                    <list-item>
                        <p>Table 3. This table also presents amino-acid substitutions, but they are named "mutations". Authors need to be precise.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Clinical microbiology, infectious diseases, immunology, virology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment10087-146400">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Ibrahim</surname>
                            <given-names>Fera</given-names>
                        </name>
                        <aff>University of Indonesia, Indonesia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>20</day>
                    <month>8</month>
                    <year>2023</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Dear Serafeim C. Chaintoutis,&#x00a0;</p>
                <p> </p>
                <p> Thank you very much for your time and effort to review our study.&#x00a0;</p>
                <p> </p>
                <p> Here's our response for each input:&#x00a0;</p>
                <p> </p>
                <p> Abstract: 
                    <list list-type="order">
                        <list-item>
                            <p>"Although lockdown had been applied to contain the disease, the household remains a critical place for its transmission." The two parts of the sentence are not combinable in a scientific manner. Several measures were applied to contain the disease. And many places remain critical for transmission. This also applies to the introduction.</p>
                            <p> </p>
                            <p> Response: Revised sentence: The lockdown had been applied to prevent transmission of virus, even the transmission in household remains a critical problem especially in poor and developing countries with more burden family.</p>
                        </list-item>
                        <list-item>
                            <p>"Naso-oropharyngeal swab..." Do authors mean both nasopharyngeal and oropharyngeal? Please elaborate.</p>
                            <p> </p>
                            <p> Response: yes, it refer to nasopharyngeal and oropharyngeal.</p>
                        </list-item>
                        <list-item>
                            <p>"The infection rate ranged from 37.5 to 100%". You mean within families?</p>
                            <p> </p>
                            <p> Response: yes, this rate resembles the infection rate in the families. Revised sentence: Therefore, the infection rate in family ranged from 37.5% to 100%.</p>
                        </list-item>
                        <list-item>
                            <p>"Four breakthrough cases were detected..." Do authors mean vaccine breakthrough?</p>
                            <p> </p>
                            <p> Response: it means COVID19 occur even after the individual received a vaccine. Revised sentence: Four vaccine breakthrough cases were detected in this study, which were infected by the virus from GH and GK clade.</p>
                        </list-item>
                    </list> Introduction: 
                    <list list-type="order">
                        <list-item>
                            <p>"D614G was the first reported mutation..." This is technically an amino-acid substitution. Please, be precise.</p>
                            <p> </p>
                            <p> Response: it is an amino-acid substitution, thank you very much for the corrective comment; we will change this &#x201c;mutation&#x201d; in to &#x201c;amino acid substitution&#x201d; on whole manuscript.</p>
                        </list-item>
                        <list-item>
                            <p>"This mutation then increased and generated the emergence of the variants of concern". How is this supported? This is scientifically unjustified.</p>
                            <p> </p>
                            <p> Response: we agree that mutation not always drive to the increased or generated novel voc, thus this sentence will be change in to &#x201c;The mutation may increase and generate the emergence of the variants of concern&#x201d;</p>
                        </list-item>
                        <list-item>
                            <p>"This study was performed&#x00a0;to assess the variation of SARS-CoV-2 strains and their clinical manifestations within family clusters in Jakarta, Indonesia". By this, the impression that of large-scale study is being given. However, 8 families were only investigated. This is not representative. How were these family clusters chosen? Was there any reason? There might be a bias in the selection of families/research material, with potential false community representation results.</p>
                            <p> </p>
                            <p> Response: samples on this study are from government program of COVID-19 tracking which RT-PCR diagnosis only taken place when symptoms are appears, thus it was limitations in this study.</p>
                        </list-item>
                    </list> Materials and Methods: 
                    <list list-type="order">
                        <list-item>
                            <p>Details on the sequencing methodology and analysis are missing. Herein, sequencing was performed using "Oxford Nanopore&#x2019;s GridION sequencer", with read depth lower than Illumina or Ion Torrent systems usings critical to verify that the identified mutations are not an "artifact" of the sequencing process.[P1]</p>
                            <p> </p>
                            <p> Response: The methods for nanopore sequencing were done exactly as the protocols described in the citations (Citations number 10 and 11) and according to manufacturers instructions. For the depth, as manufacturers suggestions and based on the citations, the sequencing was set to achieve 100x depth of coverage across all targets. &#x00a0;Therefore, all the sequencing results only can be proceeded for further analysis if the 100x depth of coverage was achieved. We determined the sequence was good enough for further analysis because we used more depth than required (50x) and run only 10 specimens per nanopore&#x2019;s flowcells to achieve our desired coverage. We will add this information to the manuscript for the confirmation. In addition, sequencing using illumina platform was not feasible in Indonesia for small project like ours during the period of our study, therefore we relied on Nanopore technology to support our country&#x2019;s surveillance initiatives.</p>
                        </list-item>
                    </list> Fig. 1: 
                    <list list-type="order">
                        <list-item>
                            <p>The relevant caption is missing several important pieces of information. What type of tree is this? Many trees are characterized as "phylogenetic trees" Details are needed on how this analysis was performed and the tree was constructed. This information needs to be added to the figure caption. The information provided on the branches is not easy to read and understand.[P2]</p>
                            <p> </p>
                            <p> Response: The phylogenetic tree was built using Geneious Prime 2021.1.1, using UPGMA as the tree build method and Tamura-Nei as the genetic distance model, with NC_045512 as the reference sequence. We had mentioned it into our manuscript.</p>
                        </list-item>
                    </list> Tables: 
                    <list list-type="order">
                        <list-item>
                            <p>Table 1. This table presents Pango lineages (i.e., B.1) that were not anticipated as of January 2021.</p>
                        </list-item>
                        <list-item>
                            <p>Table 2. It is not clear whether the authors mean in fact mutations, or substitutions by "total N mutations", "total S mutations", etc.</p>
                            <p> </p>
                            <p> Response: They refer to amino acid substitution within N or S protein.</p>
                        </list-item>
                        <list-item>
                            <p>Table 3. This table also presents amino-acid substitutions, but they are named "mutations". Authors need to be precise.</p>
                            <p> </p>
                            <p> Response: Thank you very much for the corrective comments, the data presented in Table 3 are refer to amino acid substitutions, thus we will revise its &#x201c;mutation&#x201d; in to &#x201c;amino acid substitution&#x201d;.</p>
                        </list-item>
                    </list>
                </p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report146395">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.133953.r146395</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Nakagawa</surname>
                        <given-names>So</given-names>
                    </name>
                    <xref ref-type="aff" rid="r146395a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1760-3839</uri>
                </contrib>
                <aff id="r146395a1">
                    <label>1</label>Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>15</day>
                <month>8</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Nakagawa S</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport146395" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.122019.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Ibrahim 
                <italic>et al</italic>. sequenced SARS-CoV-2 genomes that were obtained from 22 COVID-19 patients in 8 family clusters. Except for one family, the results of SARS-CoV-2 genome analysis strongly suggested that the disease was transmitted by household infection.</p>
            <p> </p>
            <p> The study itself is small but solid, and their observation is still reasonable for the current infection dynamics of COVID-19.</p>
            <p> </p>
            <p> 
                <bold>Major comments</bold>
            </p>
            <p> The details of each nanopore sequencing should be shown in the manuscript. For nanopore sequencing, the quality is known to be relatively low compared to Illumina sequencing. Therefore, if the depth is insufficient, it is impossible to distinguish whether those are mutations or sequencing errors. Please provide more information on the sequencing status (including depth, coverage, and any &#x201c;shallow&#x201d; regions if they exist) for each sample.</p>
            <p> </p>
            <p> 
                <bold>Minor comments</bold> 
                <list list-type="order">
                    <list-item>
                        <p>Introduction: &#x201c;D614G&#x201d; should be clearly explained when it first appeared.</p>
                    </list-item>
                    <list-item>
                        <p>Table 1: Are PANGO IDs isolated for Patients 4 to 6 &#x201c;B.1&#x201d;? The B.1 lineage is not common in January 2021 in the world. Please verify it.</p>
                    </list-item>
                    <list-item>
                        <p>Figure 1: The legend of the figure is missing, and I could not understand the meaning of the values shown for each branch. In addition, clades and PANGO IDs should be shown, which could be informative for readers.</p>
                    </list-item>
                    <list-item>
                        <p>Table 3: &#x201c;Total S mutation&#x201d; and &#x201c;Total N mutation&#x201d; are ambiguous. Do these include synonymous mutations as well?</p>
                    </list-item>
                    <list-item>
                        <p>References: Citations should be checked. For example, Reference #1 is not suitable for mentioning SARS-CoV-2 VOCs.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Genomics.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment10088-146395">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Ibrahim</surname>
                            <given-names>Fera</given-names>
                        </name>
                        <aff>University of Indonesia, Indonesia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>20</day>
                    <month>8</month>
                    <year>2023</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Dear So Nakagawa,&#x00a0;</p>
                <p> </p>
                <p> Thank you very much for your input and effort to review our paper.</p>
                <p> </p>
                <p> Major comments</p>
                <p> </p>
                <p> The details of each nanopore sequencing should be shown in the manuscript. For nanopore sequencing, the quality is known to be relatively low compared to Illumina sequencing. Therefore, if the depth is insufficient, it is impossible to distinguish whether those are mutations or sequencing errors. Please provide more information on the sequencing status (including depth, coverage, and any &#x201c;shallow&#x201d; regions if they exist) for each sample.[P1]&#x00a0;</p>
                <p> </p>
                <p> Response: Thank you&#x00a0; very much for the inputs. We already use the cutoff 100x depth of coverage for all regions before we proceed for analysis. That&#x2019;s also why we only included this small number of specimens, since only these specimens could pass such cutoff. In addition, sequencing using illumina platform was not feasible and too expensive in Indonesia for small project like ours during the period of our study, therefore we relied on Nanopore technology to support our country&#x2019;s surveillance initiatives. Your message on Illumina is well noted, we will try them if we got more fundings in the future.</p>
                <p> </p>
                <p> Minor comments 
                    <list list-type="order">
                        <list-item>
                            <p>Introduction: &#x201c;D614G&#x201d; should be clearly explained when it first appeared.</p>
                            <p> </p>
                            <p> Response: thank you for the input, it&#x2019;s been revised.</p>
                        </list-item>
                        <list-item>
                            <p>Table 1: Are PANGO IDs isolated for Patients 4 to 6 &#x201c;B.1&#x201d;? The B.1 lineage is not common in January 2021 in the world. Please verify it.</p>
                            <p> </p>
                            <p> Response : According to pango lineage page (
                                <ext-link ext-link-type="uri" xlink:href="https://cov-lineages.org/lineage_list.html">Cov-Lineages</ext-link>, B.1 earliest date of detection was January 1
                                <sup>st</sup>,2020. Therefore, we&#x2019;re sure that the B.1 lineage had arrived to Indonesia in 2021. We will add O&#x2019;Toole&#x2019;s study as part our methods in terms of evaluating the pangolins lineage.</p>
                        </list-item>
                        <list-item>
                            <p>Figure 1: The legend of the figure is missing, and I could not understand the meaning of the values shown for each branch. In addition, clades and PANGO IDs should be shown, which could be informative for readers.</p>
                            <p> </p>
                            <p> Response : Thankyou for the input, the figure is revised.</p>
                        </list-item>
                        <list-item>
                            <p>Table 3: &#x201c;Total S mutation&#x201d; and &#x201c;Total N mutation&#x201d; are ambiguous. Do these include synonymous mutations as well?</p>
                            <p> </p>
                            <p> Response : the mutations included only the non-synonymous one, as resulted from the GISAID analysis reports.</p>
                        </list-item>
                        <list-item>
                            <p>References: Citations should be checked. For example, Reference #1 is not suitable for mentioning SARS-CoV-2 VOCs.</p>
                            <p> </p>
                            <p> Response: Thank you for the concerns. We consider your input and we had replaced them with different citations.</p>
                        </list-item>
                    </list>
                </p>
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    </sub-article>
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