<?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.159967.1</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>Evolving regional trends in U.S. opioid-related mortality: Disparities and the impact of COVID-19 (1999-2023)</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Rana</surname>
                        <given-names>Ricky</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/">Project Administration</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/0009-0004-0088-9572</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>Leiken</surname>
                        <given-names>Ben</given-names>
                    </name>
                    <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/0009-0001-9100-7253</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Murugan</surname>
                        <given-names>Vikram</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Billion</surname>
                        <given-names>Taylor</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Tauseef</surname>
                        <given-names>Abubakar</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Abdul Jabbar</surname>
                        <given-names>Ali Bin</given-names>
                    </name>
                    <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/0000-0001-5145-8626</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Creighton University School of Medicine, Omaha, Nebraska, 68106, USA</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:rra59610@creighton.edu">rra59610@creighton.edu</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>13</day>
                <month>1</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>72</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>18</day>
                    <month>12</month>
                    <year>2024</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Rana R et al.</copyright-statement>
                <copyright-year>2025</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/14-72/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>The opioid crisis is a public health challenge in the United States, significantly impacting mortality rates. This has been further exacerbated by COVID-19, contributing to a surge in substance use and overdose deaths.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>Data from the CDC Wonder Database was used to identify opioid use-related deaths in the United States from 1999 to 2023. Crude and age-adjusted mortality rates (AAMR) were calculated across different geographic and demographic groups. Temporal trends in mortality were analyzed using the Joinpoint Regression Program. Annual percentage change (APC) and average annual percentage change (AAPC) in mortality rates were calculated.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Opioid-related mortality surged during the COVID-19 period, with significant regional, racial, and state-level disparities. The Midwest region exhibited the highest AAPC from 1999 to 2023. State-specific analyses showed that West Virginia experienced the highest increase in AAMR from 1999 to 2023. Among racial groups, non-Hispanic American Indians/Alaska Natives had the highest AAPC from 1999 to 2023. Gender-specific analyses revealed that males had a higher AAPC from 1999 to 2023 than females.</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>The United States opioid crisis continued to escalate during the COVID-19 period, with significant increases in mortality across the regions. The highest AAPCs were seen in the Midwest and among non-Hispanic American Indians/Alaska Natives. These findings underscore the need for targeted interventions to account for trends in racial and regional disparities in opioid-related mortality that have increased during and post-COVID-19.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Opioids</kwd>
                <kwd>opioid-related mortality</kwd>
                <kwd>health disparities</kwd>
                <kwd>regional trends</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="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>The current opioid crisis began as an influential campaign by pharmaceutical companies. New, potent opioids such as oxycodone were marketed as a less addictive and safer way to treat chronic pain.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> With this emergence of widespread opioid prescriptions that began in 1999 came a surge in opioid-related overdose deaths. Over the next decade, the opioid-related mortality rate in the United States more than doubled from 2.9 to 6.9 per 100,000 from 1999 to 2010.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> The second and third waves of the opioid crisis were attributed primarily to a rise in popularity of heroin and fentanyl, respectively. In 2021, this rate soared to 21.4 deaths per 100,000 people, with a record 80,816 deaths that year.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Starting in 2016 with the Comprehensive Addiction and Recovery Act, the federal government began enacting multiple pieces of legislation aiming to expand access to care for those suffering from addiction, curtail the overprescription of opioids, and bolster prohibitions and sanctions relating to the import of narcotics into the country.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>The COVID-19 pandemic put significant strain on the American healthcare system and inhibited routine access to all forms of healthcare, including addiction treatment and rehabilitation services. Epidemiological evidence suggests a disproportionate impact of the opioid crisis across varying regions, ethnicities, races, and socioeconomic groups.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Our study expands on the existing literature regarding opioid-related mortality by focusing on regional differences in opioid use, the impact of COVID-19, and various epidemiological factors. Analyzing regional disparities in opioid-related mortality may elucidate underlying issues and reveal insights to facilitate the development of more effective treatment solutions for regions experiencing elevated mortality rates. Furthermore, previous studies are limited to pre-pandemic data and thus do not analyze the effect of COVID-19 on opioid abuse across the country. We aim to use the Centers for Disease Control and Prevention&#x2019;s WONDER database to improve our understanding of the impact that the COVID-19 pandemic and its various social and economic consequences have had on the number of opioid-related deaths in the United States across race, gender, and region.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <p>The Centers for Disease Control and Prevention&#x2019;s Wide-ranging Online Data for Epidemiologic Research was utilized to track opioid-related deaths in the United States over time.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> We analyzed records from the Multiple Cause-of-Death Public Use Record and the CDC WONDER database to assess the presence of opioid-related causes of death listed as contributing factors on nationwide death certificates. This database has been employed in various studies to examine mortality trends related to different diseases, including drug overdose.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref8">
8</xref>
                </sup> Data was obtained by selecting current final multiple causes of death and the year ranges of 1999-2020 and 2018-2022. Opioid-related mortality was identified using the International Classification of Diseases, 10th Revision, Clinical Modification codes T40.0-T40.4 for individuals aged 15 and older. This age range was selected because opioid-related deaths are rare among individuals under 15. The results from all states were chosen and split up by region and by state level data. Institutional review board approval was not required for this study, as the CDC WONDER database provides anonymized and publicly accessible data.</p>
            <p>We extracted data on opioid-related deaths and population sizes from 1999 to 2023, including demographic and regional information such as gender, race/ethnicity, age, region, and state-level information. Racial/ethnic groups were defined as non-Hispanic (NH) White, NH Black, NH American Indian/Alaskan Native, NH Asian/Pacific Islander, and Hispanic people as identified on death certificates. Regions were classified into Northeast, Midwest, South, and West according to the Census Bureau definitions.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
            </p>
            <p>We calculated both crude and age-adjusted mortality rates (AAMR) for opioid-related deaths. We then used the Joinpoint Regression Program (Joinpoint version 4.9.0.0 available open access from National Cancer Institute, Bethesda, Maryland 
                <ext-link ext-link-type="uri" xlink:href="https://surveillance.cancer.gov/joinpoint/">https://surveillance.cancer.gov/joinpoint/</ext-link>) to determine trends in mortality within the study period.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref8">
8</xref>
                </sup> This software employs Joinpoint regression to identify significant shifts in annual mortality patterns by fitting models with linear segments to periods of notable temporal change. The annual percentage change (APC) in age-adjusted mortality rates (AAMRs), along with 95% confidence intervals (CIs), was calculated for each segment defined by a Joinpoint using the Monte Carlo permutation test. To summarize the overall mortality trend across the study period, the weighted average of the APCs was presented as average annual percentage changes (AAPCs), along with their corresponding 95% CIs. An APC or AAPC was classified as increasing or decreasing if the slope representing the change in mortality over the interval significantly differed from zero, determined using a two-tailed t-test. Statistical significance was set at p &#x2264; 0.05, denoted by an asterisk (*) in the results and figures.</p>
        </sec>
        <sec id="sec7" sec-type="results">
            <title>Results</title>
            <sec id="sec8">
                <title>Demographic differences</title>
                <p>

                    <bold>Gender-stratified
</bold>
                </p>
                <p>From 1999 to 2023, opioids caused 532,307 (68.1%) deaths in males and 249004 (31.9%) in females in the United States (
                    <xref ref-type="table" rid="T1">
Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>AAMR per 100,000 U. S Residents from 1999 to 2023 by Gender.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Year</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">AAMR female</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
AAMR male</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1999</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.41</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.89</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2000</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.96</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2001</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.52</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2002</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.75</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2003</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.32</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2004</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.81</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2005</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.38</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2006</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.98</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2007</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.18</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2008</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.64</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2009</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.59</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.11</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2010</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.92</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.42</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2011</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.08</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2012</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.31</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2013</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.38</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2014</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.51</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2015</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.74</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.13</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2016</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.66</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.77</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2017</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.88</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.82</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2018</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.71</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2019</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.92</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27.79</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2020</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.08</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2021</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2022</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">45.58</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2023</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.92</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>The AAMR increased in males from 3.9 (95% CI 3.8 to 4.0) in 1999 to 43.9 (95% CI 43.6 to 44.3) in 2023, with an AAPC of 10.030 (95% CI 9.254 to 11.123)* (
                    <xref ref-type="fig" rid="f1">
Figures 1</xref>, 
                    <xref ref-type="fig" rid="f2">2</xref>). The APC in AAMR was 7.9456 (95% CI CI 4.948 to 10.257) from 1999-2013, which then decelerated to 1.012 (95% CI -6.452 to 10.381) from 2021-2023 (
                    <xref ref-type="fig" rid="f1">
Figure 1</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>Joinpoint of AAMR in the United States by Gender, 1999 to 2023 (*Indicates Significance).</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175765/8820fd71-359d-4529-af41-4af7001df14f_figure1.gif"/>
                </fig>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>
Figure 2. </label>
                    <caption>
                        <title>AAMR per 100,000 Residents in the United States by Gender, 1999 to 2023.</title>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175765/8820fd71-359d-4529-af41-4af7001df14f_figure2.gif"/>
                </fig>
                <p>In females, the AAMR increased from 1.4 (95% CI 1.3 to 1.5) in 1999 to 17.4 (95% CI 17.2 to 17.7) in 2023 with a steady AAPC of 9.819 (95% CI 9.083 to 11.050)* (
                    <xref ref-type="fig" rid="f1">
Figures 1</xref>, 
                    <xref ref-type="fig" rid="f2">2</xref>).</p>
                <p>

                    <bold>
Race-stratified
</bold>
                </p>
                <p>American Indian and Native Alaskan people had the highest AAMR from 2.8 (95% CI 2.0 to 3.7) in 1999 to 63.5 (95% CI 59.8 to 67.2) in 2023 with an AAPC of 13.850 (95% CI 12.979 to 15.187)* (
                    <xref ref-type="table" rid="T2">
Table 2</xref>, 
                    <xref ref-type="fig" rid="f4">
Figure 4</xref>). The American Indian and Native Alaskan APC increased from 16.279 (95% CI 12.731 to 23.188)* from 1999-2008 and subsequently increased to 40.238 (95% CI 31.162 to 46.105)* from 2018 to 2021 (
                    <xref ref-type="fig" rid="f3">
Figure 3</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>AAMR per 100,000 U.S. Residents from 1999 to 2023 by Race.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Year</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">NH American Indian or Alaska Native 
Age-Adjusted Rate</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">NH Asian or Pacific Islander 
Age-Adjusted Rate</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">NH Black or African American</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">NH White</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Hispanic</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1999</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.76</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.17</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2000</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.82</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.29</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.36</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2001</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.28</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.82</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.37</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2002</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.78</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.06</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2003</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.76</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.17</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2004</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.52</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.87</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2005</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.77</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.28</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.03</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2006</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.57</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.49</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2007</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.93</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.22</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.46</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2008</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.66</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2009</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.75</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.82</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.64</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2010</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.79</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.93</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.33</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2011</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.29</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.97</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.74</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2012</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.04</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.06</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2013</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.58</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2014</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.91</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.95</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2015</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.34</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.64</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2016</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.96</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.91</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.69</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2017</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.68</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2018</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.84</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.59</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2019</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.84</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.22</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2020</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.96</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.71</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2021</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">49.91</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.75</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.63</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.37</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2022</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">59.87</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46.62</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.21</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2023</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">63.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.62</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">47.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.04</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>
Figure 3. </label>
                    <caption>
                        <title>Joinpoint of AAMR per 100,000 U.S. Residents by Race, 1999 to 2023.</title>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175765/8820fd71-359d-4529-af41-4af7001df14f_figure3.gif"/>
                </fig>
                <p>Black or African American people had the second highest AAMR over the years, with 2.1 (95% CI 1.9 to 2.3) in 1999 to 47.7 (95% CI 47.0 to 48.5) in 2023 and an AAPC of 13.461 (95% CI 12.622 to 14.66)* (
                    <xref ref-type="fig" rid="f4">
Figure 4</xref>). The APC was 4.772 (95% CI 1.888 to 7.559)* from 1999-2012, which increased to 28.785 (95% CI 26.944 to 32.876)* from 2012-2023 (
                    <xref ref-type="fig" rid="f3">
Figure 3</xref>).</p>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>
Figure 4. </label>
                    <caption>
                        <title>AAMR per 100,000 U. S Residents by Race, 1999 to 2023.</title>
                    </caption>
                    <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175765/8820fd71-359d-4529-af41-4af7001df14f_figure4.gif"/>
                </fig>
                <p>Compared to that, Asian and Pacific Islanders had the lowest AAMR from 0.3 (95% CI 0.2 to 0.4) in 1999 to 4.6 (95% CI 4.3 to 4.9) in 2023 with an AAPC of 12.057 (95% CI 9.802 to 13.955)* (
                    <xref ref-type="fig" rid="f4">
Figure 4</xref>). The Asian and Pacific Islanders APC increased from 9.401 (95% CI -2.000 to 12.637) from 1999-2014 and subsequently increased to 16.626(95% CI 14.208 to 24.267)* from 2014 to 2023 (
                    <xref ref-type="fig" rid="f3">
Figure 3</xref>).</p>
                <p>Non-Hispanic white people had an AAMR increase from 2.8 (95% CI 2.7 to 2.9) in 1999 to 32.5 (95% CI 32.2 to 32.8) in 2023 with an AAPC of 9.855 (95% CI 9.140 to 12.291)* (
                    <xref ref-type="fig" rid="f4">
Figure 4</xref>). The non-Hispanic white APC accelerated 10.986 (95% CI 10.389 to 22.453)* from 1999-2021 and subsequently decreased to -1.855(95% CI -10.503 to 10.102) from 2021 to 2023 (
                    <xref ref-type="fig" rid="f3">
Figure 3</xref>).</p>
                <p>Hispanic people had an AAMR increase from 3.2 (95% CI 2.9 to 3.4) in 1999 to 23.0 (95% CI 22.6 to 23.5) in 2023 with an AAPC of 9.422 (95% CI 8.833 to 10.263)* (
                    <xref ref-type="fig" rid="f4">
Figure 4</xref>). The Hispanic white APC was initially low at 2.936 (95% CI -0.019 to 4.763) from 1999-2012 and subsequently increased to 29.143 (95% CI 23.434 to 33.407)* from 2018 to 2021 (
                    <xref ref-type="fig" rid="f3">
Figure 3</xref>).</p>
            </sec>
            <sec id="sec9">
                <title>Geographic variation</title>
                <p>

                    <bold>Census region difference</bold>
                </p>
                <p>Every census region saw an increase in AAMR over time, with the Midwest seeing the most significant increase from 1.41 (95% CI 1.31 to 1.52) in 1999 to 29.7 (95% CI 29.3 to 30.2) in 2023 with an AAPC of 12.048 (95% CI 11.318 to 13.524)* from 1999 to 2023 and APC of 13.874 (95% CI 13.135 to 15.713)* from 1999 to 2021 (
                    <xref ref-type="table" rid="T3">
Table 3</xref>, 
                    <xref ref-type="fig" rid="f5">
Figure 5</xref>, 
                    <xref ref-type="fig" rid="f6">
Figure 6</xref>).</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>AAMR per 100,000 U.S. Residents by Census Region, 1999 to 2023.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Year</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Census Region 1: Northeast 
Age-Adjusted Rate</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Census Region 2: Midwest 
Age-Adjusted Rate</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Census Region 3: South 
Age-Adjusted Rate</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Census Region 4: West 
Age-Adjusted Rate</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1999</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.41</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.93</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.18</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2000</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.88</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.37</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2001</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.59</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2002</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.57</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.97</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2003</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.28</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2004</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.19</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.38</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2005</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.85</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2006</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.51</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.48</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.43</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2007</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.99</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.92</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2008</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.62</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.43</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2009</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.76</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.57</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2010</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.99</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.45</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2011</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.19</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.98</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2012</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.96</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.62</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2013</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.61</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.74</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2014</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.92</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.23</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2015</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.19</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.28</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2016</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.59</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2017</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.12</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2018</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.79</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2019</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.76</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2020</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.71</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2021</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">38.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32.19</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.91</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2022</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">38.78</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26.16</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2023</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.74</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.93</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.58</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f5" orientation="portrait" position="float">
                    <label>
Figure 5. </label>
                    <caption>
                        <title>Joinpoint of AAMR per 100,000 U.S. Residents by Census Region, 1999 to 2023.</title>
                    </caption>
                    <graphic id="gr5" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175765/8820fd71-359d-4529-af41-4af7001df14f_figure5.gif"/>
                </fig>
                <fig fig-type="figure" id="f6" orientation="portrait" position="float">
                    <label>
Figure 6. </label>
                    <caption>
                        <title>AAMR per 100,000 U. S Residents by Census Region, 1999 to 2023.</title>
                    </caption>
                    <graphic id="gr6" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175765/8820fd71-359d-4529-af41-4af7001df14f_figure6.gif"/>
                </fig>
                <p>The Northeast had an AAMR rising from 2.6 (95% CI 2.4 to 2.7) in 1999 to 35.4 (95% CI 34.8 to 36.0) in 2023 with an AAPC of 11.902 (95% CI 11.373 to 12.658)* from 1999 to 2023 and APC of 10.382 (95% CI 8.815 to 11.832)* from 1999 to 2013 which then increased to an APC of 34.748 (95% CI 25.850 to 39.232)* from 2013 to 2016 (
                    <xref ref-type="fig" rid="f5">
Figure 5</xref>, 
                    <xref ref-type="fig" rid="f6">
Figure 6</xref>).</p>
                <p>The South had the second lowest AAMR rising from 1.9 (95% CI 1.8 to 2.0) in 1999 to 29.9 (95% CI 29.6 to 30.3) in 2023 with an AAPC of 11.549 (95% CI 10.357 to 14.198)* from 1999 to 2023 and APC of 24.421 (95% CI 13.4607 to 59.563)* from 1999 to 2004 which then decreased to an APC of 16.921 (95% CI 14.332 to 27.176)* from 2014 to 2021 (
                    <xref ref-type="fig" rid="f5">
Figure 5</xref>, 
                    <xref ref-type="fig" rid="f6">
Figure 6</xref>).</p>
                <p>The West had the lowest AAMR rising from 5.2 (95% CI 5.0 to 5.4) in 1999 to 29.6 (95% CI 29.2 to 30.0) in 2023 with an AAPC of 8.232(95% CI 7.599 to 9.471)* from 1999 to 2023 and APC of 7.9458 (95% CI 5.108 to 18.401)* from 1999 to 2007 which then increased to an APC of 34.922 (95% CI 26.438 to 40.943)* from 2018 to 2021 (
                    <xref ref-type="fig" rid="f5">
Figure 5</xref>, 
                    <xref ref-type="fig" rid="f6">
Figure 6</xref>).</p>
                <p>

                    <bold>
State-level difference</bold>
                </p>
                <p>Hawaii, Texas, and California had the lowest change in AAMR from 1999 to 2019 (
                    <xref ref-type="table" rid="T4">
Table 4</xref>, 
                    <xref ref-type="fig" rid="f7">
Figure 7</xref>). Hawaii had the lowest overall change in AAMR from 1999 to 2019 at 1.2, from 3.3 (95% CI 2.3 to 4.7) to 4.5 (95% CI 3.4 to 5.9), compared to all other states (
                    <xref ref-type="fig" rid="f7">
Figure 7</xref>). Texas had the second lowest change in AAMR from 1999 to 2019 at 4.7, from 1.8 (95% CI 1.6 to 2.0) to 6.6 (95% CI 6.2 to 6.9). California had the third lowest change in AAMR from 1999 to 2019 at 5.1, from 5.0 (95% CI 4.7 to 5.3) to 10.1(95% CI 9.8 to 10.5).</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>
Table 4. </label>
                    <caption>
                        <title>AAMR per 100,000 Residents from 1999 to 2023 by State.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">State</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">1999 AAMR</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2019 AAMR</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2020 AAMR</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2021 AAMR</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2022 AAMR</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
2023 AAMR</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Alabama</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.74</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.31</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Alaska</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53.85</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Arizona</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.78</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.88</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Arkansas</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.49</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.92</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.07</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">California</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.52</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.62</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.36</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Colorado</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.32</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Connecticut</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">47.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.78</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Delaware</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.62</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">54.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.52</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">60.99</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">63.88</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">61.14</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">District of Columbia</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Unreliable</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">57.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">61.97</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">61.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">63.77</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Florida</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.75</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.28</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.58</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Georgia</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.97</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.61</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Hawaii</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.51</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.77</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.77</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.39</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Idaho</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.59</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.78</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.19</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.79</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.76</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Illinois</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.31</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.61</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.83</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Indiana</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.71</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">41.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.16</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Iowa</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Unreliable</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.22</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Kansas</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.91</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Kentucky</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.63</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">52.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">57.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.86</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Louisiana</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.91</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.22</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.64</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Maine</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">54.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">62.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Maryland</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.78</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">52.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">49.71</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">45.66</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.67</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Massachusetts</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">41.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.48</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">38.47</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Michigan</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.52</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.29</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.57</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Minnesota</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Mississippi</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Unreliable</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.46</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.98</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Missouri</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32.22</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Montana</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Unreliable</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.84</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.89</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Nebraska</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">NONE</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.99</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.61</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Nevada</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.31</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.96</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">New Hampshire</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.82</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.57</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.71</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.19</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">New Jersey</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.84</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.99</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.83</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">New Mexico</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.76</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.74</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">49.22</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">47.44</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">New York</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27.87</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">North Carolina</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.46</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">45.64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.17</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">North Dakota</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">NONE</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.77</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.76</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ohio</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.76</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.51</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.75</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.75</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Oklahoma</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.49</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Oregon</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.79</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">41.24</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Pennsylvania</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.82</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">41.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">41.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.42</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Rhode Island</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Unreliable</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.94</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.31</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">41.28</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">South Carolina</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.41</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.76</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.88</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">South Dakota</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">NONE</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.16</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Tennessee</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.75</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">47.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">58.41</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">57.99</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.34</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Texas</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.22</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.93</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.61</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Utah</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.85</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.79</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.49</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Vermont</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Unreliable</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.61</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53.34</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.11</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Virginia</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.97</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.94</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Washington</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.46</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">45.54</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">West Virginia</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">54.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">92.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">92.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">94.96</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Wisconsin</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.75</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.59</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32.23</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Wyoming</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">NONE</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.79</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.46</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f7" orientation="portrait" position="float">
                    <label>
Figure 7. </label>
                    <caption>
                        <title>Change in AAMR per 100,000 Residents, 1999 to 2019 (A), 2019 to 2023 (B).</title>
                    </caption>
                    <graphic id="gr7" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/175765/8820fd71-359d-4529-af41-4af7001df14f_figure7.gif"/>
                </fig>
                <p>From 1999 to 2019 Maryland, West Virginia, and Delaware had the highest AAMR as seen in 
                    <xref ref-type="fig" rid="f7">
Figure 7</xref>. Of these 3, West Virginia had the highest increase in AAMR of 52.5 from 2.1 (95% CI 1.4 to 3.0) in 1999 to 54.5 (95% CI 50.4 to 58.6) in 2019. Delaware had the second highest rate of increase with an AAMR of 50.6 from 3.6 (95% CI 2.3 to 5.5) in 1999 to 54.3 (95% CI 48.7 to 59.8) in 2019. Maryland had the third highest rate of increase with an AAMR of 43.2 from 0.6 (95% CI 0.4 to 0.8) in 1999 to 43.8 (95% CI 41.9 to 45.7) in 2019 (
                    <xref ref-type="fig" rid="f7">
Figure 7</xref>).</p>
                <p>From 2019 to 2023, New Jersey had the largest drop in AAMR, while West Virginia had the largest increase in AAMR. New Jersey had a decrease in AAMR of 4.4 from 36.2 (95% CI 34.8 to 37.8) in 2019 to 31.8 (95% CI 30.5 to 33.1) in 2023. On the other hand, in West Virginia the AAMR increased by 40.5, from 54.5 (95% CI 50.4 to 58.6) in 2019 to 95.0 (95% CI 89.5 to 100.4) in 2023 (
                    <xref ref-type="fig" rid="f7">
Figure 7</xref>).</p>
            </sec>
        </sec>
        <sec id="sec10" sec-type="discussion">
            <title>Discussion</title>
            <p>Opioid use disorders (OUD) place a significant strain on healthcare systems and come with substantial financial costs to society, estimated at $7.3 billion annually in the U.S.
                <sup>
                    <xref ref-type="bibr" rid="ref8">
8</xref>,
                    <xref ref-type="bibr" rid="ref10">10</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> Despite this considerable spending, our study shows that OUD-related mortality continues to rise across all regions of the country. We observed an increase in the overall crude mortality rate from 1999 to 2023 in both the Midwest and the entire U.S. This study highlights several key trends in opioid use-related mortality.</p>
            <p>This study revealed significant regional trends in age-adjusted mortality rates (AAMR). The Midwest exhibited the highest AAMR from 1999 to 2021, followed by the Northeast, which aligns with findings from earlier regional studies.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> However, our research indicated that the Midwest&#x2019;s mortality rates were higher than the average of other U.S. regions between 2014 and 2021. One potential reason for this elevated mortality is limited access to treatment. A study by Cummings et al. showed that the Midwest and Southern regions had the highest number of counties lacking substance use disorder treatment facilities.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> This lack of access may contribute to a larger number of individuals struggling with severe addiction, thereby increasing the risk of relapse and mortality rates. In addition, other factors contributing to regional differences in opioid use-related mortality include regional drug market differences, differences in opioid use patterns, and overall substance use patterns that differ between regions. Understanding these disparities in opioid use-related mortality in the Midwest can help guide targeted interventions to enhance outcomes.</p>
            <p>This study also examined AAMR for populations of all races in the United States. The American Indian and Native Alaskan populations experienced the highest AAMR from 1999 to 2023. The Black population experienced the second-highest AAMR from 1999 to 2023. Previous research has identified non-White race as a risk factor for opioid use disorder (OUD).
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>,
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> A study by Quintero et al. found that non-White populations are more likely to transition into OUD, although the rates of disorders varied by drug type and age.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> These groups may face a higher risk of developing OUD due to significantly lower rates of completing OUD treatment, compounded by various socioeconomic and structural disparities including poverty, social isolation, and treatment access disparities.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>,
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
            </p>
            <p>Our study also tracked trends before and during the COVID-19 pandemic. From 2006 to 2019, the mortality gap between American Indian and Native Alaskan populations and others narrowed; however, this gap widened again after the onset of COVID-19, reversing earlier progress. Research has shown that non-white communities were disproportionately affected by the pandemic, leading to increased stress for these families and communities.
                <sup>
                    <xref ref-type="bibr" rid="ref21">20</xref>,
                    <xref ref-type="bibr" rid="ref22">21</xref>
                </sup> This heightened stress may have contributed to rising substance use and related mortality during this time. The tight-knit nature of these communities, due to their culture and family units may have served as a source of resilience and acted as protective factors before the pandemic. However, the fragmentation of families and communities during the pandemic has been theorized to have become risk factors for increased behavioral addictions such as gambling and drug use based on current trends.
                <sup>
                    <xref ref-type="bibr" rid="ref23">22</xref>
                </sup> Furthermore, studies have found that along with the social disruptions caused by the pandemic, historical trauma and socioeconomic challenges have also contributed to the increased risk of behavioral addictions in these populations.
                <sup>
                    <xref ref-type="bibr" rid="ref23">22</xref>
                </sup> Overall, our findings underscore the importance of recognizing demographic and socioeconomic disparities and highlighting the specific needs of American Indian and Native Alaskan populations in the United States.</p>
            <p>From 1999 to 2023, both crude mortality rates and AAMR were higher for men than for women. Men also experienced an increase in APC at the beginning of the COVID-19 outbreak, while women did not show any significant changes in trends during that period. Our findings align with other studies that have identified male sex as a risk factor for substance use-related mortality.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>,
                    <xref ref-type="bibr" rid="ref18">18</xref>,
                    <xref ref-type="bibr" rid="ref19">19</xref>,
                    <xref ref-type="bibr" rid="ref20">23</xref>
                </sup>
            </p>
            <p>This study identified several notable changes following the onset of COVID-19. Opioid-induced deaths in the U.S. increased significantly and remained elevated from March 2020 through the end of 2021. Both the Midwest and other regions experienced a statistically significant increase in APC from 2019 to 2021. Additionally, men, as well as Black American Indian and Native Alaskan populations from all regions, saw a marked rise in AAMR. This timing coincides with the initial COVID-19 surge in the U.S. The pandemic had a profound effect on mental health, leading to increased opioid and substance use.
                <sup>
                    <xref ref-type="bibr" rid="ref23">22</xref>,
                    <xref ref-type="bibr" rid="ref24">24</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> A study by Friedman and Akre reported a rise in drug overdoses after the COVID-19 outbreak, peaking in May 2020.
                <sup>
                    <xref ref-type="bibr" rid="ref14">
14</xref>
                </sup> Another factor may be the overall decline in visits and access to OUDT facilities in 2020. Research by Cantor et al. indicated that weekly visits to these facilities dropped compared to 2019, with the most significant declines occurring in counties experiencing higher COVID-19 burdens.
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> Overall, our findings align with existing research on the impact of COVID-19 on OUD.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>,
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> To mitigate spikes in opioid-related deaths during future crises, the U.S. must find ways to maintain access to OUD treatment and address negative coping strategies involving substances.</p>
            <sec id="sec11">
                <title>Limitations</title>
                <p>The CDC WONDER database, which is based on death certificates, may sometimes misclassify causes of death. Our analysis had opioid-related mortality data as the primary or contributing cause of death. While this strategy improves sensitivity by capturing the maximum number of cases where opioid use may have directly or indirectly contributed to mortality, it decreases specificity. Additionally, the regional and state-level data may be misrepresented because a patient&#x2019;s recorded location at the time of death may not accurately represent their original residence if they relocated during the study period. Furthermore, differences in how states and medical examiners code mortality in death certificates could bias the results. The database also lacks information on social determinants of health and other factors that could affect mortality among the different demographic groups analyzed in this study.</p>
            </sec>
        </sec>
        <sec id="sec12" sec-type="conclusions">
            <title>Conclusions</title>
            <p>Our study shows that the United States opioid crisis has escalated during the COVID-19 pandemic, resulting in significant increases in mortality across various demographic groups and regions. The Midwest, especially West Virginia, saw the highest mortality rates, while Hawaii experienced the smallest increase. Despite the overall rise in the Midwest, Nebraska&#x2019;s lower increase suggests notable regional differences that require further investigation. Our study highlights ongoing demographic and regional disparities in opioid-related behaviors and mortality, with certain disadvantaged groups particularly affected since COVID-19. Addressing these disparities is essential to reducing substance use-related mortality effectively.</p>
        </sec>
    </body>
    <back>
        <sec id="sec15" sec-type="data-availability">
            <title>Data availability statement</title>
            <p>All the data available in this manuscript is present on CDC Wonder database 
                <ext-link ext-link-type="uri" xlink:href="https://wonder.cdc.gov/mcd.html">https://wonder.cdc.gov/mcd.html</ext-link>.</p>
            <p>The Multiple Cause of Death data set contains mortality and population counts for all U.S. counties. Data are based on death certificates for U.S. residents. Each death certificate contains a single underlying cause of death, up to twenty additional multiple causes, and demographic data. The number of deaths, crude death rates, age-adjusted death rates and 95% confidence intervals for death rates can be obtained by cause of death (4 digit ICD-10 codes, 113 selected causes of death, 130 selected causes of infant death, drug and alcohol related causes of death, injury intent and injury mechanism categories), place of residence (national, region, division, state, and county), age (single-year-of age, 5-year age groups, 10-year age groups and infant age groups), race (American Indian or Alaskan Native, Asian/Pacific Islander, Black or African American, White), Hispanic ethnicity, gender and year. We focused on opioid use-related mortality and therefore used the ICD codes T40-40.4 for age ranges 15 and older.</p>
            <p>Third party ethics:</p>
            <p>The CDC Wonder CDC WONDER database contains anonymized, publicly available data on mortality and population counts for all U.S. counties. Data are based on death certificates for U.S. residents Multiple Cause of Death data are compiled from data provided by the 57 vital statistics jurisdictions through the Vital Statistics Cooperative; the data set is produced by the U.S. Department of Health and Human Services (US DHHS), Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS), Division of Vital Statistics (DVS), Mortality Statistics Branch.</p>
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    <sub-article article-type="reviewer-report" id="report370946">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.175765.r370946</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Bhagavathula</surname>
                        <given-names>Akshaya Srikanth</given-names>
                    </name>
                    <xref ref-type="aff" rid="r370946a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0581-7808</uri>
                </contrib>
                <aff id="r370946a1">
                    <label>1</label>North Dakota State University, Fargo, USA</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>7</day>
                <month>4</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Bhagavathula AS</copyright-statement>
                <copyright-year>2025</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="relatedArticleReport370946" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.159967.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Thank you for the opportunity to review this manuscript. The topic of opioid-related mortality and its impact during COVID-19 period is of major public health interest. However, the manuscript, in its current version, suffers from multiple methodological and reporting issues that must be addressed to strengthen its validity, reproducibility, and clarity. The manuscript failed in large and identified several methodological pitfalls.&#x00a0;</p>
            <p> 1. The authors relied on MCOD data using ICD-10 codes T40.0&#x2013;T40.4. This approach is methodologically inappropriate for estimating opioid-specific mortality trends unless the authors intention is to examine opioid-involved deaths broadly.&#x00a0;</p>
            <p> 2.&#x00a0;MCOD includes contributing causes, not necessarily causal agents of death. This can inflate mortality estimates due to increased awareness and recording particularly after post-2015.</p>
            <p> 3. It was difficult for me to understand various terms used and need to revise terminology throughout the manuscript (change "opioid-related deaths" to "opioid-involved deaths").</p>
            <p> 4.If authors aimed to measure opioid-attributable mortality, then it should be using UCOD only, as recommended by CDC, GBD, and NCHS best practices.&#x00a0;</p>
            <p> 5. The authors presented only AAMRs but do not report the total number of opioid-related deaths - this is a key omission.</p>
            <p> 6.&#x00a0;Readers cannot contextualize the burden or interpret the scale of disparities without raw counts. Moreover, Standard epidemiologic practice like STROBE, GATHER requires inclusion of both counts and rates.&#x00a0;</p>
            <p> 7. Potential overlapping: "Data were selected from 1999&#x2013;2020 and 2018&#x2013;2022.&#x201d; This introduces data overlap between 2018&#x2013;2020. Authors did not justified how the overlapping data were adjusted. This raises concern of&#x00a0;duplicate inclusion or inconsistent data treatment.&#x00a0;</p>
            <p> 8. Authors&#x00a0;report AAMRs for those aged &#x2265;15 years but do not describe, but the reference population used (e.g., 2000 U.S. standard population), the standardization method (direct or indirect) and how age weights were recalculated for a 15+ population subset were not clearly explained. For example, If the authors are selecting age group from 15-24 or 15-19 the population weights are different and need more clarification on how AAMR are calculated.</p>
            <p> 9.&#x00a0;Some interpretations, particularly those relating to Native American &#x201c;cultural resilience&#x201d; or &#x201c;community fragmentation&#x201d; during COVID-19, are speculative and unsupported by direct evidence in the manuscript.</p>
            <p> 10.&#x00a0;State-level differences are presented as meaningful, but no adjustment is made for&#x00a0;Data quality variability - eg.,&#x00a0;in toxicology testing) or&#x00a0;Population characteristics (e.g., urbanicity, socioeconomic status).</p>
            <p> 11. Grammatical errors:&#x00a0;Data 
                <italic>was</italic>&#x00a0;obtained- data were obtained.&#x00a0;</p>
            <p> 12. The authors omitted T40.6 (unspecified narcotic) &#x2014; please clarify whether this was excluded intentionally and why.</p>
            <p> 13. Joinpoint analysis:&#x00a0;The results section should provide the number and timing of Joinpoints and model diagnostics (like BIC/AIC, p-values). It is not clearly described how joinpoints were selected and which criteria was applied.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>No</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>No</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>No</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>No</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>Epidemiology, Opioids, Biostatistics, disparities, and Bigdata anlytics.</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>
