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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">9706389</journal-id><journal-id journal-id-type="pubmed-jr-id">20773</journal-id><journal-id journal-id-type="nlm-ta">Int J Tuberc Lung Dis</journal-id><journal-id journal-id-type="iso-abbrev">Int J Tuberc Lung Dis</journal-id><journal-title-group><journal-title>The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease</journal-title></journal-title-group><issn pub-type="ppub">1027-3719</issn><issn pub-type="epub">1815-7920</issn></journal-meta><article-meta><article-id pub-id-type="pmid">40155793</article-id><article-id pub-id-type="pmc">12082709</article-id><article-id pub-id-type="doi">10.5588/ijtld.24.0464</article-id><article-id pub-id-type="manuscript">HHSPA2080408</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Use of different genotyping methods to estimate TB transmission in the United States, 2020&#x02013;2021</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Schildknecht</surname><given-names>K.R.</given-names></name><xref rid="A1" ref-type="aff">1</xref><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Cowen</surname><given-names>L.S.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Posey</surname><given-names>J.E.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Talarico</surname><given-names>S.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Haddad</surname><given-names>M.B.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Wortham</surname><given-names>J.M.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Kammerer</surname><given-names>J.S.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib></contrib-group><aff id="A1"><label>1</label>Division of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA;</aff><aff id="A2"><label>2</label>Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA.</aff><author-notes><corresp id="CR1"><bold>Correspondence to:</bold> Kimberly R. Schildknecht, Centers for Disease Control and Prevention, 1600 Clifton Road NE, Mailstop H24-4, Atlanta, GA 30329, USA. <email>trg8@cdc.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>8</day><month>5</month><year>2025</year></pub-date><pub-date pub-type="ppub"><day>31</day><month>3</month><year>2025</year></pub-date><pub-date pub-type="pmc-release"><day>16</day><month>5</month><year>2025</year></pub-date><volume>29</volume><issue>4</issue><fpage>193</fpage><lpage>195</lpage><kwd-group><kwd>epidemiology</kwd><kwd>whole-genome sequencing</kwd><kwd>disease transmission</kwd><kwd>infectious</kwd></kwd-group></article-meta></front><body><p id="P1">Dear Editor,</p><p id="P2">Most TB in the United States arises from reactivation of past <italic toggle="yes">Mycobacterium tuberculosis</italic> infection.<sup><xref rid="R1" ref-type="bibr">1</xref>&#x02013;<xref rid="R4" ref-type="bibr">4</xref></sup> Identifying and treating recently infected persons are priority prevention and control activities because recently acquired <italic toggle="yes">M. tuberculosis</italic> infection can rapidly progress to TB disease.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> Therefore, health departments in the United States routinely use local TB genotyping results to gauge their success in suppressing recent transmission (RT). According to PCR-based genotyping methods used for over a decade, approximately 12% of all TB appears attributable to RT.<sup><xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R7" ref-type="bibr">7</xref></sup> In 2018, whole-genome sequencing (WGS) became routine for each culture-confirmed TB case, and in 2022, PCR-based genotyping (i.e., GENType designations) was discontinued. These new WGS methods produce a whole-genome multilocus sequence typing (wgMLSType) designation. wgMLSType is assigned by comparing the sequences of 2,672 genetic loci, chosen based on presence in &#x02265;95% of genomes in a test dataset of 5,000 genomes, and assigning the same wgMLSType to cases that have matching patterns at &#x02265;99.7% of the loci, a cutoff that ensures clustering of isolates that are within seven single nucleotide polymorphisms (SNPs). However, wgMLSType designation does not provide the number of pairwise SNP differences between isolates, and cases with a matching wgMLSType might not necessarily be closely related enough genetically to be consistent with RT. As recommended in a recent publication regarding best practices for WGS,<sup><xref rid="R8" ref-type="bibr">8</xref></sup> whole-genome SNP comparison and phylogenetic trees, which are more discriminatory than wgMLSType, are produced by CDC for a select subset of wgMLSType clusters. These are used along with timing, geography, and other epidemiologic characteristics to further assess the likelihood that cases are related by RT for cluster investigation.</p><p id="P3">Using TB cases reported to the National Tuberculosis Surveillance System<sup><xref rid="R4" ref-type="bibr">4</xref></sup> from 2018&#x02013;2021 (i.e., the 4 years when both GENType and wgMLSType designations were assigned), we produced new sequencing-based RT estimates for the 2020&#x02013;2021 cases. We applied the previously validated plausible source case method; that is, if &#x02265;1 plausible source case with a matching wgMLSType designation was identified during the previous 2 years within 10 miles, the TB case was attributed to RT.<sup><xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R9" ref-type="bibr">9</xref></sup> We compared the proportion of TB cases attributed to RT using the older GENType and newer wgMLSType designations, both in the overall population and stratified by origin of birth. We identified counties with &#x02265;10 TB cases during 2020&#x02013;2021 that had &#x02265;10% absolute difference in RT using the two genotyping methods. We described those counties by their rural-urban classification (U.S. Department of Agriculture),<sup><xref rid="R10" ref-type="bibr">10</xref></sup> poverty level (U.S. Census American Community Survey),<sup><xref rid="R11" ref-type="bibr">11</xref></sup> and annual TB count per 100,000 persons (National Tuberculosis Surveillance System).<sup><xref rid="R4" ref-type="bibr">4</xref></sup></p><p id="P4">We found that with the PCR-based GENType designation, 12.3% of TB cases nationally were attributed to RT; the corresponding proportion was 11.8% using the sequencing-based wgMLSType designation. Among U.S.-born persons with TB, the proportion of TB cases attributed to RT increased from 24.8% to 28.2%. Conversely, RT estimates decreased from 7.7% to 5.9% among non-U.S.-born persons. In total, 14 U.S. counties reported &#x02265;10 TB cases during 2020&#x02013;2021 and had &#x02265;10% absolute difference in the proportion of cases attributed to RT. The Table shows that estimates of RT increased &#x02265;10% in 10 counties and decreased &#x02265;10% in 4 counties. The 10 counties with new higher RT estimates varied widely in population size, composition, and annual TB counts, but nearly all had substantial poverty. In these 10 counties, 37 persons whose TB was previously not attributed to RT were reclassified as having TB attributed to RT because wgMLSType grouped closely related isolates with different PCR-based GENTypes. All 37 were either U.S.-born (<italic toggle="yes">n</italic> = 22) or Mexico-born (<italic toggle="yes">n</italic> = 15). The four counties with new lower RT estimates were all urban with larger populations and generally lower poverty levels. Among the 36 total persons reclassified as not having TB attributed to RT, 29 (80.6%) were born in China or the Philippines. However, small absolute numbers drove the &#x02265;10% of case reclassifications in these 14 counties.</p><p id="P5">In conclusion, the overall proportion of TB cases attributed to RT was similar with either genotyping method, but the sequencing-based wgMLSType designation produced a somewhat higher RT estimate among U.S.-born persons and a somewhat lower estimate among non-U.S.-born persons. Poverty in counties with increased RT estimates suggests fewer resources and greater challenges for TB prevention and control at the local level. This poverty context also emphasizes the importance of the direct connections with the communities most affected by RT and including those voices in developing public health strategies to decrease RT.<sup><xref rid="R8" ref-type="bibr">8</xref></sup> Transition to WGS-based genotyping will require changes in methods to estimate RT to ensure accuracy; accurate RT estimates will facilitate assessments of efforts to suppress RT. Further work is necessary to validate the findings of this analysis in the context of local epidemiology and to optimize RT estimates for WGS-based genotyping. In the meantime, these findings of similar overall RT estimates in the context of differences by birth origin and specific locations and settings might be helpful context for public health decision-making.</p></body><back><ack id="S1"><title>Acknowledgments</title><p id="P6">We thank the clinicians, laboratory personnel, and public health staff who report cases and contribute data to the U.S. National TB Surveillance System. The views and opinions expressed in this article are those of the authors and do not necessarily represent an official position of the Centers for Disease Control and Prevention. All authors are employees of the U.S. government.</p></ack><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P7">Conflicts of interest: none declared.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1</label><mixed-citation publication-type="journal"><name><surname>Cain</surname><given-names>KP</given-names></name>, <etal/>
<article-title>Tuberculosis among foreign-born persons in the United States</article-title>. <source>JAMA</source>
<year>2008</year>;<volume>300</volume>(<issue>4</issue>):<fpage>405</fpage>&#x02013;<lpage>412</lpage>.<pub-id pub-id-type="pmid">18647983</pub-id>
</mixed-citation></ref><ref id="R2"><label>2</label><mixed-citation publication-type="journal"><name><surname>Ricks</surname><given-names>PM</given-names></name>, <etal/>
<article-title>Estimating the burden of tuberculosis among foreign-born persons acquired prior to entering the U.S., 2005&#x02013;2009</article-title>. <source>PLoS ONE</source>
<year>2011</year>;<volume>6</volume>(<issue>11</issue>):<fpage>e27405</fpage>.<pub-id pub-id-type="pmid">22140439</pub-id>
</mixed-citation></ref><ref id="R3"><label>3</label><mixed-citation publication-type="journal"><name><surname>Tsang</surname><given-names>CA</given-names></name>, <etal/>
<article-title>Tuberculosis among foreign-born persons diagnosed &#x02265;10 years after arrival in the United States, 2010&#x02013;2015</article-title>. <source>MMWR Morb Mortal Wkly Rep</source>. <year>2017</year>;<volume>66</volume>(<issue>11</issue>):<fpage>295</fpage>&#x02013;<lpage>298</lpage>.<pub-id pub-id-type="pmid">28333913</pub-id>
</mixed-citation></ref><ref id="R4"><label>4</label><mixed-citation publication-type="book"><collab>CDC</collab>. <source>Reported tuberculosis in the United States, 2021</source>. <publisher-name>U.S. Department of Health and Human Services, CDC</publisher-name>; <publisher-loc>Atlanta</publisher-loc>: <year>2022</year>.</mixed-citation></ref><ref id="R5"><label>5</label><mixed-citation publication-type="journal"><name><surname>Taylor</surname><given-names>Z</given-names></name>, <name><surname>Nolan</surname><given-names>CM</given-names></name>, <name><surname>Blumberg</surname><given-names>HM</given-names></name>, <collab>American Thoracic Society, Centers for Disease Control and Prevention, Infectious Diseases Society of America</collab>. <article-title>Controlling tuberculosis in the United States. Recommendations from the American Thoracic Society, CDC, and the Infectious Diseases Society of America</article-title>. <source>MMWR Recomm Rep</source>
<year>2005</year>;<volume>54</volume>(<issue>RR-12</issue>):<fpage>1</fpage>&#x02013;<lpage>81</lpage>.</mixed-citation></ref><ref id="R6"><label>6</label><mixed-citation publication-type="journal"><name><surname>France</surname><given-names>AM</given-names></name>, <etal/>
<article-title>A field-validated approach using surveillance and genotyping data to estimate tuberculosis attributable to recent transmission in the United States</article-title>. <source>Am J Epidemiol</source>
<year>2015</year>;<volume>182</volume>(<issue>9</issue>):<fpage>799</fpage>&#x02013;<lpage>807</lpage>.<pub-id pub-id-type="pmid">26464470</pub-id>
</mixed-citation></ref><ref id="R7"><label>7</label><mixed-citation publication-type="journal"><name><surname>Yuen</surname><given-names>CM</given-names></name>, <etal/>
<article-title>Recent transmission of tuberculosis &#x02014; United States, 2011&#x02013;2014</article-title>. <source>PloS ONE</source>
<year>2016</year>;<volume>11</volume>:<fpage>e0153728</fpage>.<pub-id pub-id-type="pmid">27082644</pub-id>
</mixed-citation></ref><ref id="R8"><label>8</label><mixed-citation publication-type="journal"><name><surname>Denholm</surname><given-names>JT</given-names></name>, <etal/>
<article-title>Considering best practice standards for routine whole-genome sequencing for TB care and control</article-title>. <source>IJTLD Open</source>
<year>2024</year>;<volume>1</volume>(<issue>10</issue>)<fpage>431</fpage>&#x02013;<lpage>436</lpage>.<pub-id pub-id-type="pmid">39398433</pub-id>
</mixed-citation></ref><ref id="R9"><label>9</label><mixed-citation publication-type="book"><collab>Centers for Disease Control and Prevention</collab>. <source>Whole-genome sequencing</source>. <publisher-loc>Atlanta, GA, USA</publisher-loc>: <publisher-name>CDC</publisher-name>, <year>2024</year>.</mixed-citation></ref><ref id="R10"><label>10</label><mixed-citation publication-type="book"><collab>U.S. Department of Agriculture</collab>. <source>Rural-Urban Continuum Codes</source>. <publisher-loc>Washington DC, USA</publisher-loc>: <publisher-name>U.S. Department of Agriculture</publisher-name>, <year>2025</year>.</mixed-citation></ref><ref id="R11"><label>11</label><mixed-citation publication-type="book"><collab>U.S. Census Bureau</collab>. <source>American Community Survey. 2017&#x02013;2021, Table ACSST5Y2021.S1701</source>
<publisher-loc>Washington DC, USA</publisher-loc>: <publisher-name>U.S. Census Bureau</publisher-name>, <year>2021</year>.</mixed-citation></ref></ref-list></back><floats-group><table-wrap position="float" id="T1"><label>Table.</label><caption><p id="P8">Counties with &#x02265;10% change in estimates of recent transmission after switching from PCR-based genotyping methods to the wgMLSType designation based on whole-genome sequencing, United States, 2020&#x02013;2021.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">County or county equivalent</th><th align="center" valign="bottom" rowspan="1" colspan="1">Rural-urban continuum classification for the county and population size<xref rid="TFN1" ref-type="table-fn">*</xref><sup><xref rid="TFN2" ref-type="table-fn">&#x02020;</xref></sup></th><th align="center" valign="bottom" rowspan="1" colspan="1">Proportion of population under 200% of federal poverty level<sup><xref rid="TFN2" ref-type="table-fn">&#x02020;</xref></sup> (%)</th><th align="center" valign="bottom" rowspan="1" colspan="1">Annual TB count per 100,000 persons<sup><xref rid="TFN3" ref-type="table-fn">&#x02021;</xref></sup></th><th align="center" valign="bottom" rowspan="1" colspan="1">Absolute change in county&#x02019;s recent transmission (RT) estimate (%)<sup><xref rid="TFN4" ref-type="table-fn">&#x000a7;</xref></sup></th><th align="center" valign="bottom" rowspan="1" colspan="1">Absolute number reclassified as RT</th><th align="center" valign="bottom" rowspan="1" colspan="1">Absolute number reclassified as not RT</th></tr></thead><tbody><tr><td colspan="7" align="left" valign="top" rowspan="1">
<bold>Ten U.S. counties with an increase in estimated RT after change to sequencing-based wgMLSType designation</bold>
</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County A</td><td align="left" valign="top" rowspan="1" colspan="1">Rural with a population of &#x0003c;2,500</td><td align="center" valign="top" rowspan="1" colspan="1">70.5</td><td align="center" valign="top" rowspan="1" colspan="1">126.9</td><td align="center" valign="top" rowspan="1" colspan="1">+28.6% (from 42.9% to 71.4%)</td><td align="center" valign="top" rowspan="1" colspan="1">5 U.S.-born persons</td><td align="center" valign="top" rowspan="1" colspan="1">1 U.S.-born person</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County B</td><td align="left" valign="top" rowspan="1" colspan="1">Rural with a population of 2,500&#x02013;19,999</td><td align="center" valign="top" rowspan="1" colspan="1">55.1</td><td align="center" valign="top" rowspan="1" colspan="1">107.3</td><td align="center" valign="top" rowspan="1" colspan="1">+25.8% (from 70.4% to 96.2%)</td><td align="center" valign="top" rowspan="1" colspan="1">7 U.S.-born persons</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County C</td><td align="left" valign="top" rowspan="1" colspan="1">Adjacent to a metropolitan area with a population of &#x02265;20,000</td><td align="center" valign="top" rowspan="1" colspan="1">60.6</td><td align="center" valign="top" rowspan="1" colspan="1">11.5</td><td align="center" valign="top" rowspan="1" colspan="1">+27.3% (from 18.2% to 45.5%)</td><td align="center" valign="top" rowspan="1" colspan="1">1 U.S.-born person<break/>2 Non-U.S.&#x02013;born persons</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County D</td><td align="left" valign="top" rowspan="1" colspan="1">Metropolitan area with a population of 250,000&#x02013;1,000,000</td><td align="center" valign="top" rowspan="1" colspan="1">48.0</td><td align="center" valign="top" rowspan="1" colspan="1">8.3</td><td align="center" valign="top" rowspan="1" colspan="1">+14.7% (from 35.3% to 50.0%)</td><td align="center" valign="top" rowspan="1" colspan="1">2 U.S.-born persons<break/>3 Non-U.S.&#x02013;born persons</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County E</td><td align="left" valign="top" rowspan="1" colspan="1">Metropolitan area with a population of 250,000&#x02013;1,000,000</td><td align="center" valign="top" rowspan="1" colspan="1">54.4</td><td align="center" valign="top" rowspan="1" colspan="1">4.0</td><td align="center" valign="top" rowspan="1" colspan="1">+12.2% (from 21.7% to 33.9%)</td><td align="center" valign="top" rowspan="1" colspan="1">2 U.S.-born persons <break/>5 Non-U.S.&#x02013;born persons</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County F</td><td align="left" valign="top" rowspan="1" colspan="1">Metropolitan area with a population of 250,000&#x02013;1,000,000</td><td align="center" valign="top" rowspan="1" colspan="1">34.4</td><td align="center" valign="top" rowspan="1" colspan="1">1.6</td><td align="center" valign="top" rowspan="1" colspan="1">+11.3% (from 8.7% to 20.0%)</td><td align="center" valign="top" rowspan="1" colspan="1">1 U.S.-born person <break/>1 Non-U.S.&#x02013;born persons</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County G</td><td align="left" valign="top" rowspan="1" colspan="1">Metropolitan area with a population of 250,000&#x02013;1,000,000</td><td align="center" valign="top" rowspan="1" colspan="1">36.0</td><td align="center" valign="top" rowspan="1" colspan="1">1.5</td><td align="center" valign="top" rowspan="1" colspan="1">+11.1% (from 22.2% to 33.3%)</td><td align="center" valign="top" rowspan="1" colspan="1">1 U.S.-born person</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County H</td><td align="left" valign="top" rowspan="1" colspan="1">Metropolitan area with a population of 250,000&#x02013;1,000,000</td><td align="center" valign="top" rowspan="1" colspan="1">31.4</td><td align="center" valign="top" rowspan="1" colspan="1">5.5</td><td align="center" valign="top" rowspan="1" colspan="1">+10.0% (from 15.0% to 25.0%)</td><td align="center" valign="top" rowspan="1" colspan="1">4 Non-U.S.&#x02013;born persons</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County I</td><td align="left" valign="top" rowspan="1" colspan="1">Metropolitan area with a population of &#x02265;1 million</td><td align="center" valign="top" rowspan="1" colspan="1">43.2</td><td align="center" valign="top" rowspan="1" colspan="1">3.6</td><td align="center" valign="top" rowspan="1" colspan="1">+13.3% (from 33.3% to 46.7%)</td><td align="center" valign="top" rowspan="1" colspan="1">2 U.S.-born persons</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County J</td><td align="left" valign="top" rowspan="1" colspan="1">Metropolitan area with a population of &#x02265;1 million</td><td align="center" valign="top" rowspan="1" colspan="1">22.5</td><td align="center" valign="top" rowspan="1" colspan="1">0.7</td><td align="center" valign="top" rowspan="1" colspan="1">+10.0% (from 20.0% to 30.0%)</td><td align="center" valign="top" rowspan="1" colspan="1">1 U.S.-born person</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td colspan="7" align="left" valign="top" rowspan="1">
<bold>Four U.S. counties with a decrease in estimated RT after change to sequencing-based wgMLSType designation</bold>
</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County K</td><td align="left" valign="top" rowspan="1" colspan="1">Metropolitan area with a population of &#x02265;1 million</td><td align="center" valign="top" rowspan="1" colspan="1">32.5</td><td align="center" valign="top" rowspan="1" colspan="1">2.4</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;10.3% (from 13.8% to 3.5%)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td><td align="center" valign="top" rowspan="1" colspan="1">2 U.S.-born persons<break/>7 Non-U.S.-born persons</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County L</td><td align="left" valign="top" rowspan="1" colspan="1">Metropolitan area with a population of &#x02265;1 million</td><td align="center" valign="top" rowspan="1" colspan="1">20.5</td><td align="center" valign="top" rowspan="1" colspan="1">8.1</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;10.5% (from 14.3% to 3.8%)</td><td align="center" valign="top" rowspan="1" colspan="1">2 U.S.-born persons</td><td align="center" valign="top" rowspan="1" colspan="1">13 Non-U.S.&#x02013;born persons</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County M</td><td align="left" valign="top" rowspan="1" colspan="1">Metropolitan area with a population of &#x02265;1 million</td><td align="center" valign="top" rowspan="1" colspan="1">14.7</td><td align="center" valign="top" rowspan="1" colspan="1">6.6</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;14.8% (from 16.0% to 1.3%)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td><td align="center" valign="top" rowspan="1" colspan="1">12 Non-U.S.-born persons</td></tr><tr><td align="center" valign="top" rowspan="1" colspan="1">County N</td><td align="left" valign="top" rowspan="1" colspan="1">Metropolitan area with a population of &#x02265;1 million</td><td align="center" valign="top" rowspan="1" colspan="1">20.1</td><td align="center" valign="top" rowspan="1" colspan="1">1.5</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;16.7% (from 25.0% to 8.3%)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td><td align="center" valign="top" rowspan="1" colspan="1">2 Non-U.S.-born persons</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P9">Source: U.S. Department of Agriculture, <ext-link xlink:href="https://www.ers.usda.gov/data-products/rural-urban-continuum-codes/" ext-link-type="uri">https://www.ers.usda.gov/data-products/rural-urban-continuum-codes/</ext-link></p></fn><fn id="TFN2"><label>&#x02020;</label><p id="P10">Estimated county population size on July 1, 2020, and July 1, 2021, obtained from the American Community Survey, Table CO-EST2022-POP, available at <ext-link xlink:href="https://www.census.gov/data/tables/time-series/demo/popest/2020s-counties-total.html" ext-link-type="uri">https://www.census.gov/data/tables/time-series/demo/popest/2020s-counties-total.html</ext-link>. Poverty proportions derived from American Community Survey, 2017&#x02013;2021, Table ACSST5Y2021.S1701, available at <ext-link xlink:href="https://www.census.gov/topics/income-poverty/poverty/data/tables/acs.html" ext-link-type="uri">https://www.census.gov/topics/income-poverty/poverty/data/tables/acs.html</ext-link>.</p></fn><fn id="TFN3"><label>&#x02021;</label><p id="P11">Annual TB count per 100,000 calculated by halving the total number of reported cases in the county during 2020&#x02013;2021 from the National TB Surveillance System and dividing that by the mean of the two midyear population estimates from the American Community Survey.</p></fn><fn id="TFN4"><label>&#x000a7;</label><p id="P12">No rounding was performed on the minuend or subtrahend, which accounts for apparent rounding errors on the differences in Counties A, I, and M.</p></fn><fn id="TFN5"><p id="P13">PCR = polymerase chain reaction; wgMLSType = whole-genome multilocus sequence typing; RT = recent transmission.</p></fn></table-wrap-foot></table-wrap></floats-group></article>