<?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.122069.1</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>Readiness and determinants of Vietnam's general public to receive the COVID-19 Vaccine: a national online cross-sectional study</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Thi Xuan Hoang</surname>
                        <given-names>Huong</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/">Resources</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/">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>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5248-0398</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Abu-Odah</surname>
                        <given-names>Hammoda</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Supervision</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>
                    <uri content-type="orcid">https://orcid.org/0000-0002-8874-2599</uri>
                    <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>Hoang Vu</surname>
                        <given-names>Anh</given-names>
                    </name>
                    <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/">Methodology</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="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Van Nguyen</surname>
                        <given-names>Liep</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</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>
                </contrib>
                <aff id="a1">
                    <label>1</label>Faculty of Nursing, PHENIKAA University, Hanoi 12116, Vietnam, Vietnam</aff>
                <aff id="a2">
                    <label>2</label>World Health Organization Collaborating Center for Community Health Services, School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong</aff>
                <aff id="a3">
                    <label>3</label>Nursing and Health Sciences Department, University College of Applied Sciences (UCAS), Gaza, Palestinian Territory</aff>
                <aff id="a4">
                    <label>4</label>Faculty of Nursing, , DAI NAM University, , Hanoi, Vietnam, Vietnam</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:huong.hoangthixuan@phenikaa-uni.edu.vn">huong.hoangthixuan@phenikaa-uni.edu.vn</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>28</day>
                <month>6</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>715</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>22</day>
                    <month>6</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Thi Xuan Hoang H et al.</copyright-statement>
                <copyright-year>2022</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/11-715/pdf"/>
            <abstract>
                <p>
                    <bold>Background</bold>: Despite vaccinations&#x2019; efficacy in combating disease, people&#x2019;s readiness to get the coronavirus disease 2019 (COVID-19) vaccine are substantially varied. This study aimed to assess Vietnamese people&#x2019;s readiness, attitudes, and determinants for COVID-19 vaccination.</p>
                <p>
                    <bold>Methods</bold>: A web-based cross-sectional online survey was conducted using a convenience sampling approach. The Vietnamese population&#x2019;s readiness to receive COVID-19 vaccinations was assessed using the 7C of vaccination readiness scale (7Cs). The scale was posted on Facebook and Zalo platforms. Descriptive statistics were calculated, and inferential analysis was applied to identify determinants predicting respondents&#x2019; vaccine readiness.</p>
                <p>
                    <bold>Results:</bold> Of the 1086 respondents invited to the study, 1026 completed the questionnaire. The Vietnamese population demonstrated a moderate level of readiness for COVID-19 vaccination uptake, with an average 7Cs score of 103.25&#x00b1;15.13. A high level was underscored in the
                    <italic toggle="yes"> complacency, constraints, collective responsibility,</italic> and 
                    <italic toggle="yes">compliance</italic> components, and a low level was reported in the 
                    <italic toggle="yes">calculation</italic> component. The Vietnamese population emphasized that the awareness of the significant adverse effects of COVID-19 vaccination was the primary factor influencing their readiness to get the vaccine (
                    <italic toggle="yes">p &lt;</italic> 0.001). Worrying about the vaccine manufacturer and its origin was the second most crucial factor influencing their readiness to get the vaccine (p &lt; 0.001).</p>
                <p>
                    <bold>Conclusions:</bold> Building confidence between people and the Vietnamese authorities is a high priority to enhance people&#x2019;s readiness to get the COVID-19 vaccine. The authorities should focus on dispelling disinformation posted on social media and promoting the usefulness of COVID-19 vaccines.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Vaccine readiness</kwd>
                <kwd>COVID-19</kwd>
                <kwd>Asia</kwd>
                <kwd>vaccine hesitancy</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Coronavirus disease 2019 (COVID-19) is a significant public health problem globally, with the emergence of the different variants.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> In March 2020, the World Health Organization (WHO) declared COVID-19 a global pandemic due to increased COVID-19 infection rates.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> The WHO recommends COVID-19 vaccination alongside preventative measures as the most effective strategy for fighting diseases and limiting the virus&#x2019;s rapid spread.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> However, people&#x2019;s readiness/willingness to get the COVID-19 vaccine varies significantly due to the dissemination of false rumours and misinformation on social media.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
            </p>
            <p>Vaccination readiness is defined as components that determine an individual&#x2019;s response to vaccination.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Governmental, national, and international organizations have attempted to persuade people to receive vaccines;
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> however, their vaccination rates remain low. Around 64.7% of the global population and just 14.8% of people in low- and middle-income countries (LMICs) have received at least one dose of COVID-19 vaccination.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> In Vietnam, 75.9% of the population have received two doses of COVID-19 vaccine and 46% have got three doses of vaccine.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Nonetheless, a lack of data on the efficacy and long-term adverse effects of new vaccinations contributes to the population&#x2019;s reluctance to get the COVID-19 vaccine. As a result, research on public readiness for COVID-19 vaccinations uptake is necessary to provide insight and solid evidence of data that will assist policymakers in developing a campaign to increase the percentage of vaccinated people. Furthermore, in the context that infectious disease outbreak and pandemics continually emerge and evolve over time, results from such studies will help policymakers quickly develop successful policies that allow vaccines to be administered rapidly &#x2013; which, in turn, elicits the immune response during future outbreaks of other infectious diseases.</p>
            <p>Vaccination readiness has received considerable attention in research; however, the research focus has been limited to specific populations such as medical health workers, medical/nursing students,
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> and those with comorbidities.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> Recent studies on the general public have revealed that COVID-19 vaccine uptake varies significantly among nations.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> These studies found that between 63% and 92.33% of people were willing to receive the COVID-19 vaccine.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Burke, Masters and Massey
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> also revealed that participants&#x2019; willingness to get COVID-19 vaccination is related to their trust in the vaccine&#x2019;s effectiveness, age, and occupation. Despite the beneficial results of earlier studies, variations in the factors related to intentions to take COVID-19 vaccinations were observed among studies. Furthermore, most prior research used only two questions 
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> or unvalidated scales to assess people&#x2019;s readiness to get vaccines, making it difficult to generalize the findings.</p>
            <p>Adopting proper scales is thus crucial for determining people&#x2019;s readiness to receive the vaccine. Betsch, B&#x00f6;hm and Chapman
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> developed the five components (5C) scale to assess vaccination readiness on five different components: 
                <italic toggle="yes">confidence </italic>(trust in the safety and effectiveness of the vaccines and health authorities), complacency (seeing a high need for vaccination due to a high perceived risk of the disease),
                <italic toggle="yes"> constraints </italic>(not seeing any hurdles in everyday life that hamstring vaccination), 
                <italic toggle="yes">calculation</italic> (comparing personal costs against the benefits of receiving a vaccination versus a non-vaccination),
                <italic toggle="yes"> collective responsibility</italic> (willingness to protect others by getting vaccinated). Geiger 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> recently expanded the scale by including two additional components
                <italic toggle="yes">:</italic> 
                <italic toggle="yes">compliance </italic>(support for social monitoring and sanctioning of people who refuse vaccination), and 
                <italic toggle="yes">conspiracy</italic> (a low belief in vaccination-related conspiracy theories and fake news). The updated scale consist of 7Cs (seven components) scale of vaccination readiness.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> Measuring these components might assist policymakers in tailoring initiatives targeted at promoting vaccine uptake. Thus, this study was undertaken in Vietnam to assess the public&#x2019;s readiness, attitudes, and determinants to receive the COVID-19 vaccine using the 7Cs scale.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Ethical considerations</title>
                <p>The Institutional Review Board of the Nam Dinh University of Nursing (Approval number: 1681/GCN-HDDD) approved this study. The approval was granted following the World Medical Association&#x2019;s Declaration of Helsinki. Participants were asked to electronically consent to taking the survey, which included a statement emphasizing the survey&#x2019;s confidentiality and voluntary participation.</p>
            </sec>
            <sec id="sec4">
                <title>Study design</title>
                <p>A cross-sectional research study was applied to assess the Vietnamese population&#x2019;s readiness to get the vaccine. The data was gathered through the use of an online survey. Online surveys were distributed through Qualtrics CoreXM and uploaded on Facebook and Zalo, the most popular social media platforms in Vietnam, from September to December 2021.</p>
            </sec>
            <sec id="sec5">
                <title>Sample</title>
                <p>The participants were recruited across the country using a convenience sample approach. Participants were eligible if they were Vietnamese citizens aged 18 years or older who had not previously received two doses of COVID-19 vaccination and agreed to participate in the study. For those who did not utilize social media, such as elderly citizens, a link to the questionnaire was sent to over 10 groups of elders to encourage them to participate in the study. The required sample size was determined to be 1068 participants using Thompson&#x2019;s sample size calculation formula.
                    <sup>
                        <xref ref-type="bibr" rid="ref26">26</xref>
                    </sup> The sample size was determined using the total population of Vietnamese aged 18 years (71 million), with an error margin of 3% and a confidence level of 95%.</p>
            </sec>
            <sec id="sec6">
                <title>Measures</title>
                <p>
                    <italic toggle="yes">Readiness to get COVID-19 vaccine</italic>
                </p>
                <p>The 7Cs scale of vaccination readiness was utilized.
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup> The 7Cs is a 21-items scale measuring seven readiness components (as presented in the Introduction). Each component consisted of three items graded on a seven-point Likert scale (7 being &#x201c;strongly agree&#x201d; and 1 being &#x201c;strongly disagree&#x201d;). High scores imply a high score of readiness among the participants. The 7Cs is a validated tool that has been used to assess the general population&#x2019;s readiness for vaccination and has been translated into 12 languages.
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup> The Vietnamese version was translated via a forward-backward method, and the scale&#x2019;s Cronbach&#x2019;s alpha was 0.87, indicating that the data set had an extremely high level of internal consistency.</p>
                <p>
                    <italic toggle="yes">Attitudes toward getting the COVID-19 vaccine</italic>
                </p>
                <p>Participants were asked three questions about their attitudes toward COVID-19 vaccination: (1) &#x201c;I believe I will be diagnosed with COVID-19 in the next 12 months&#x201d;, (2) &#x201c;COVID-19 will have a serious impact on my health&#x201d;, and (3) &#x201c;I believe the severity of the disease and the risk of developing complications will be reduced if a person is infected with COVID-19 even after receiving the vaccination&#x201d;. These questions were used in previous studies that measured attitudes for COVID-19 uptake.
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup>
                    <sup>&#x2013;</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref29">29</xref>
                    </sup> Each question was graded on a 4-point Likert scale, with 1 being &#x201c;absolutely to&#x201d; and 4 being &#x201c;certainly not.&#x201d; Each question&#x2019;s mean score was calculated, with a higher mean reflecting positive attitudes toward the COVID-19 vaccine.</p>
                <p>
                    <italic toggle="yes">Determinants/reasons for COVID-19 vaccine uptake</italic>
                </p>
                <p>Five questions were asked to ascertain the degree of agreement with frequent reasons for avoiding toreceive COVID-19 vaccinations. The common reasons were developed by reviewing the literature and an unpublished survey of 200 people.
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref29">29</xref>
                    </sup> Each question was on a seven-point Likert scale, with 7 being &#x201c;Strongly disagree&#x201d; and 1 being &#x201c;Strongly agree.&#x201d; The question&#x2019;s highest score indicated the primary reason for non-vaccination.</p>
                <p>
                    <italic toggle="yes">Sociodemographic characteristics of the population</italic>
                </p>
                <p>Participant characteristics were collected, including demographic factors such as age and gender, occupation, province (has COVID-19 cases and is now under semi-lockdown/lockdown or has no COVID-19 cases), history of chronic diseases, and COVID-19 vaccination status.</p>
            </sec>
            <sec id="sec7">
                <title>Data analysis</title>
                <p>The Statistical Package for the Social Science (SPSS) version 22 (IBM Corp., Armonk, NY, USA) was used for data analysis. Descriptive statistics were calculated to summarise the study participants&#x2019; characteristics, scale, and sub-components. Independent samples t-test and ANOVA test were used as appropriate to assess the difference between respondents&#x2019; readiness to get COVID-19 vaccines and their characteristics. Spearman&#x2019;s correlation coefficient was used to measure the strength and direction of association between 7Cs score and agreement level with common reasons for not taking COVID-19 vaccines and attitude toward having COVID-19. A 
                    <italic toggle="yes">p</italic>-value of less than 0.05 was considered a significant level.</p>
            </sec>
        </sec>
        <sec id="sec8" sec-type="results">
            <title>Results</title>
            <sec id="sec9">
                <title>Participants characteristics</title>
                <p>Of the 1086 people survey invitees, 1026 completed the questionnaire and were included in the final analysis. The majority of participants (n=642, 62.3%) were female. Their ages ranged from 18 to 77 years, with a mean of 31.04 years (SD 13.2 years). Over a third of participants (n=367, 35.8%) were students. Most participants (n=732, 71.3%) lived in a province where COVID-19 cases were reported, and the province was placed on lockdown. Only 28.1% of participants (n=288) received the first dose of the COVID-19 vaccine, whereas 61.1% (n=627) were scheduled to receive the first dose. About 10.8% of participants (n=111) expressed a lack of readiness to receive the vaccine (
                    <xref ref-type="table" rid="T1">Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>Participants' characteristics.</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">Participants (n=1026)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Age group</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2264;30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">594</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">57.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&gt;30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">432</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Average (min-max)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.04 &#x00b1; 13.2 (18-77)</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Gender</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">373</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">642</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">62.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">LGBT</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Occupation</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Occupations that are regularly being close to people (such as driver, shipper, saleman, medical workers, teachers, business, freelancer)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">330</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Occupations that are not regularly being close to people (such as tecnician, farmer, lab researcher, administration, IT, retired)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">313</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Students</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">367</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Location</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Province that has COVID-19 cases and currently under semilockdown/lockdown</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">732</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">71.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Province that hasn't COVID-19 cases</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">294</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Having chronic diseases</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">819</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">79.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes (Allergic history Metabolic disorders, thrombocytopenia, cardiovascular diseases, cancer, chronic obstructive pulmonary disease)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">117</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>COVID-19 vaccination status</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Do not want to receive any dose</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">111</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Received one dose</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">288</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Already book to receive the first dose</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">627</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">61.1</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec10">
                <title>Readiness of participants to get COVID-19 vaccination</title>
                <p>The average score for 7Cs was 103.25&#x00b1;15.13, ranging from 34 to 147, indicating that participants were moderately ready to receive the vaccine. Participants reported high scores in the components of 
                    <italic toggle="yes">complacency</italic>, restrictions, 
                    <italic toggle="yes">collective responsibility</italic>, and 
                    <italic toggle="yes">compliance</italic>, but low scores in the 
                    <italic toggle="yes">calculation</italic> component. The detailed descriptive statistics of readiness components and their items are presented 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>Readiness of participants toward taking Covid-19 vaccination.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Component</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean for the components</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">No</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Item</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mode</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">Confidence</td>
                                <td align="left" colspan="1" rowspan="3" valign="top">4.71 &#x00b1; 1.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">COVID-19 Vaccination side effects occur rarely and are not severe for me.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Political decisions about Covid-19 vaccinations are scientifically grounded.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I am convinced the appropriate authorities do only allow effective and safe COVID-19 vaccines.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">Complacency</td>
                                <td align="left" colspan="1" rowspan="3" valign="top">5.61 &#x00b1; 1.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I do not need COVID-19 vaccinations because infectious diseases do not hit me hard. (R)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">COVID-19 Vaccination are unnecessary for me because I rarely get ill anyway. (R)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I get COVID-19 vaccinated because it is too risky to get infected.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">Constraints</td>
                                <td align="left" colspan="1" rowspan="3" valign="top">5.14 &#x00b1; 1.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I make sure to receive the most important COVID-19 vaccinations in good time.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Covid 19 Vaccinations are so important to me that I prioritize getting vaccinated over other things.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I sometimes miss out on COVID-19 vaccinations because vaccination is bothersome. (R)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">Calculation</td>
                                <td align="left" colspan="1" rowspan="3" valign="top">3.45 &#x00b1; 1.24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I get COVID-19 vaccinated when I do not see disadvantages for me. (R)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I only get COVID-19 vaccinated when the benefits clearly outweigh the risks. (R)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">For COVID-19 vaccine, I carefully consider whether I need it. (R)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">Collective Responsibility</td>
                                <td align="left" colspan="1" rowspan="3" valign="top">5.76 &#x00b1; 1.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I also get COVID-19 vaccinated because protecting vulnerable risk groups is important to me.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I see COVID-19 vaccination as a collective task against the spread of diseases.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I also get COVID-19 vaccinated because I am thereby protecting other people.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">Compliance</td>
                                <td align="left" colspan="1" rowspan="3" valign="top">5.15 &#x00b1; 1.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">It should be possible to exclude people from public activities (e.g., concerts) when they are not vaccinated against COVID-19.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">The health authorities should use all possible means to achieve high COVID-19 vaccination rate.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">It should be possible to sanction people who do not follow the COVID-19 vaccination recommendations by health authorities.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">Conspiracy</td>
                                <td align="left" colspan="1" rowspan="3" valign="top">4.57 &#x00b1; 1.11</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">COVID-19 Vaccinations cause diseases and allergies that are more serious than the diseases they ought to protect from. (R)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Health authorities knuckle down to the power and influence of pharmaceutical companies. (R)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">COVID-19 Vaccinations contain chemicals in toxic doses. (R)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Overall score of readiness</bold>
                                </td>
                                <td align="left" colspan="4" rowspan="1" valign="top">
                                    <bold>103.25 &#x00b1; 15.13 (34-147)</bold>
                                </td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>
                            <italic toggle="yes">Note.</italic> All items were scaled on a Likert-type scale from 1 = 
                            <italic toggle="yes">strongly disagree</italic> to 7 = 
                            <italic toggle="yes">strongly agree.</italic> Items with (R) are reverse coded so that high values indicate high vaccination readiness.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec11">
                <title>Attitudes toward getting the COVID-19 vaccine</title>
                <p>The majority of participants believed that COVID-19 harmed their health (mean=1.77&#x00b1;0.72), which influenced their readiness to get the vaccine (
                    <italic toggle="yes">p</italic> &lt; 0.001). They also thought that the severity of the disease and the chance of developing complications would be reduced if a person was infected with COVID-19 even after receiving the vaccination (mean= 1.74&#x00b1;0.63, 
                    <italic toggle="yes">p</italic> &lt; 0.001).</p>
            </sec>
            <sec id="sec12">
                <title>Determinants for COVID-19 vaccine uptake</title>
                <p>The participants stated that being aware of the severe side effects of COVID-19 vaccination was the main leading cause of unwillingness of people to get the vaccine (
                    <italic toggle="yes">p</italic> &lt; 0.001). The second key factor influencing their readiness to get the vaccine was their fear of the vaccine manufacturer and its origin (
                    <italic toggle="yes">p</italic> &lt; 0.001), followed by the dispersion of the diverse information they posted on social media (
                    <italic toggle="yes">p</italic> &lt; 0.001). People were also hesitant to get vaccines due to their mistrust of government advice on vaccine safety and effectiveness (
                    <xref ref-type="table" rid="T3">Table 3</xref>). For participants&#x2019; sociodemographic variable, findings reported no difference in the mean COVID19 vaccine readiness score by gender, occupation, or having chronic diseases (all 
                    <italic toggle="yes">p</italic> &gt; 0.05).</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>Factor associated with COVID-19 readiness (7Cs).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Items</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Predictors</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mode</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">r</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aware of serious adverse effects following COVID-19 vaccination
                                    <xref ref-type="table-fn" rid="tfn2">
                                        <sup>a</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.24
                                    <xref ref-type="table-fn" rid="tfn1">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cconcerning of the COVID-19 vaccine manufacturer or its place of origin
                                    <xref ref-type="table-fn" rid="tfn2">
                                        <sup>a</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.99</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.22
                                    <xref ref-type="table-fn" rid="tfn1">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Waiting for a better vaccine
                                    <xref ref-type="table-fn" rid="tfn2">
                                        <sup>a</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.26
                                    <xref ref-type="table-fn" rid="tfn1">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Confusing by different information of the COVID-19 vaccine
                                    <xref ref-type="table-fn" rid="tfn2">
                                        <sup>a</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.94</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.15
                                    <xref ref-type="table-fn" rid="tfn1">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Don't believe in the advice of the government
                                    <xref ref-type="table-fn" rid="tfn2">
                                        <sup>a</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.66</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.36
                                    <xref ref-type="table-fn" rid="tfn1">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I think I would be diagnosed with Covid-19 in the next 12 months
                                    <xref ref-type="table-fn" rid="tfn3">
                                        <sup>b</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.21</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Covid-19 will affect my health seriously
                                    <xref ref-type="table-fn" rid="tfn3">
                                        <sup>b</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.77</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.86
                                    <xref ref-type="table-fn" rid="tfn1">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I think the severity of the disease and the chance of developing complications would be reduced if a person is infected with COVID-19 even after receiving the vaccination
                                    <xref ref-type="table-fn" rid="tfn3">
                                        <sup>b</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.74</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.63</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.25
                                    <xref ref-type="table-fn" rid="tfn1">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age (18-77)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.04</td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.49</td>
                            </tr>
                        </tbody>
                    </table>
                    <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">ANOVA test</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SD</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">p</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gender</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.22</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 11</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">103.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.84</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">103.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.56</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">LGBT</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">103.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.9</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Comorbidities</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.82</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">103.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.4</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">102.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.4</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Occupation</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.25</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Occupations that are regularly being close to people (such as driver, shipper, salesmen, medical workers, teachers, business, freelancer)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">102.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.38</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 19</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Occupations that are not regularly being close to people (such as tecnician, farmer, lab researcher, administration, IT, retired)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">101.62</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.09</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"># 20</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Students</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">103.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>**</label>
                                <p>p&lt;0.001.</p>
                            </fn>
                            <fn id="tfn2">
                                <label>
                                    <sup>a</sup>
                                </label>
                                <p>items were scaled on a Likert-type scale from 1 = strongly disagree to 7 = strongly agree.</p>
                            </fn>
                            <fn id="tfn3">
                                <label>
                                    <sup>b</sup>
                                </label>
                                <p>items were scaled on a Likert-type scale from 1 = definitely to 4 = definitely not.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec13" sec-type="discussion">
            <title>Discussion</title>
            <p>This was the first study in Vietnam to use a validated questionnaire to assess the readiness and determinants associated with COVID-19 vaccinations. The majority of the Vietnamese sample population was willing to take the vaccine, which is consistent with a previous Vietnam study that found that 71.7% of participants were eager to take the COVID-19 vaccine.
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> It also matches the findings of an international survey conducted across 19 countries, which found a high degree of vaccine willingness.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup>
            </p>
            <p>Based on the 7Cs scale, our research revealed a moderate score of readiness for COVID-19 uptake. The discrepancy in the score of readiness and intention to take COVID-19 vaccinations might be explained by the moderate-low score in the 7Cs calculation and confidence components. Similar findings were found by other researchers. Jamison, Quinn and Freimuth
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup> interviewed 119 American adults and found that most of them distrusted pharmaceutical companies and had poor trust in the government, both of which were seen as profit-driven. Safety concerns regarding COVID-19 vaccines have been raised in other studies.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> The study&#x2019;s authors were surprised by the low score for the calculation component because, at the time of data collection, Vietnam was coping with the fourth wave of COVID-19, causing over 12,000 cases per day and forcing practically all cities into lockdown. Because COVID-19 vaccines are freely distributed to the general public, the findings suggest that participants underestimate the benefits of vaccines.</p>
            <p>The readiness of Vietnamese people to get vaccines was not associated with their sociodemographic variables. The findings corroborate what has been found in many earlier studies. For example, in Ethiopia, Afghanistan, and four Arab nations, age and occupation were unrelated to vaccine readiness.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup> In the study conducted by Oyekale,
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> the proportion of positive reactions to COVID-19 vaccinations in males and females was the same. However, a worldwide online survey found that the subjects&#x2019; age and jobs were associated with their participation in the COVID-19 vaccination program. Males were also considerably more likely than females to receive vaccination in other research.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup> According to a systematic study, age, educational status, gender, occupation, and marital status were all associated with willingness to get COVID-19 vaccinations.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> The authors explained that individual sociodemographic characteristics were related to the perception of the threat of COVID-19, which influences vaccination intentions.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> Findings also reported that having a chronic disease was not associated with the readiness to receive COVID-19 vaccines.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup> This is an intriguing finding because a COVID-19 patient with a chronic condition is more likely to acquire a severe illness, especially if they have underlying medical issues such as cardiovascular disease, diabetes, chronic respiratory disease, or cancer.
                <sup>
                    <xref ref-type="bibr" rid="ref35">35</xref>
                </sup>
            </p>
            <p>Our results underscored that awareness of the severe side effects, fear of COVID-19 vaccination, dispersion of the diverse information they posted on social media, and mistrust of government advice on vaccine safety and effectiveness affected people&#x2019;s readiness to get the vaccine. The finding is in line with other studies.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup> For instance, Abu-Odah 
                <italic toggle="yes">et al.</italic>, 
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> reported the unwillingness of Palestinians to get the COVID-19 vaccine due to the spread of false rumors, misinformation, and mistrust towards the vaccines that the government purchased. Misinformation and unsubstantiated rumors regarding COVID-19 vaccines have been shared on social media platforms even before releasing an effective vaccine,
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup> causing confusion and vaccine hesitation.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup> The findings explained why the confidence and calculation components of the 7Cs in our study scored so low. There is a dire effort to mitigate these factors to increase Vietnam&#x2019;s general public readiness to get the vaccine. For example, policymakers should promote trusted evidence for the COVID-19 vaccine&#x2019;s safety and effectiveness to boost public vaccination readiness. A policy for preventing, correcting, and deleting COVID-19 vaccination disinformation must be devised and implemented to address this issue.</p>
            <sec id="sec14">
                <title>Strengths and limitations</title>
                <p>The study has several advantages, including a large sample size and a validated questionnaire, which improves the study&#x2019;s reliability. However, there are some limitations to this research. For instance, using social media for convenience sampling could lead to selection bias. Second, the causal relationship could not be determined in this cross-sectional investigation.</p>
            </sec>
        </sec>
        <sec id="sec15" sec-type="conclusions">
            <title>Conclusions</title>
            <p>The present study revealed a moderate score of readiness for COVID-19 vaccination among Vietnamese people, which was explained by a low score on the 
                <italic toggle="yes">calculation</italic> and
                <italic toggle="yes"> confidence</italic> components. Building confidence between people and the Vietnamese authorities is a high priority to enhance people&#x2019;s readiness to get the COVID-19 vaccine. The authorities should focus on dispelling disinformation posted on social media and promoting the usefulness of COVID-19 vaccines.</p>
        </sec>
        <sec id="sec16">
            <title>Data availability</title>
            <sec id="sec17">
                <title>Underlying data</title>
                <p>Dryad: Readiness and determinants of Vietnam&#x2019;s general public to receive the COVID-19 Vaccine: a national online cross-sectional study, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5061/dryad.fn2z34txc">https://doi.org/10.5061/dryad.fn2z34txc</ext-link>.
                    <sup>
                        <xref ref-type="bibr" rid="ref38">38</xref>
                    </sup>
                </p>
                <p>This project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>Data_Vaccine-csv.csv</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero &#x201c;No rights reserved&#x201d; data waiver</ext-link> (CC0 1.0 Public domain dedication).</p>
                <p>The 7Cs scale of COVID-19 vaccination readiness available at 
                    <ext-link ext-link-type="uri" xlink:href="https://www.vaccination-readiness.com/measure/">https://www.vaccination-readiness.com/measure/</ext-link>.</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgments</title>
            <p>The authors would like to express immense gratitude to the admins of group &#x201c;Nhung nguoi yeu nhac Ha Anh Tuan&#x201d;, &#x201c;Hoi phu nu Phuong Nguyen Du&#x201d; and our friends who always provided support for collecting data for this study.</p>
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        </ref-list>
    </back>
</article>
