Association Between Social Vulnerability and a County's Risk for Becoming a COVID-19 Hotspot - United States, June 1-July 25, 2020
Poverty, crowded housing, and other community attributes associated with social vulnerability increase a community's risk for adverse health outcomes during and following a public health event (1). CDC uses standard criteria to identify U.S. counties with rapidly increasing coronavirus disease...
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| Veröffentlicht in: | MMWR. Morbidity and mortality weekly report 2020-10, Vol.69 (42), p.1535-1541 |
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| creator | Dasgupta, Sharoda Bowen, Virginia B. Leidner, Andrew Fletcher, Kelly Musial, Trieste Rose, Charles Cha, Amy Kang, Gloria Dirlikov, Emilio Pevzner, Eric Rose, Dale Ritchey, Matthew D. Villanueva, Julie Philip, Celeste Liburd, Leandris Oster, Alexandra M. |
| description | Poverty, crowded housing, and other community attributes associated with social vulnerability increase a community's risk for adverse health outcomes during and following a public health event (1). CDC uses standard criteria to identify U.S. counties with rapidly increasing coronavirus disease 2019 (COVID-19) incidence (hotspot counties) to support health departments in coordinating public health responses (2). County-level data on COVID-19 cases during June 1-July 25, 2020 and from the 2018 CDC social vulnerability index (SVI) were analyzed to examine associations between social vulnerability and hotspot detection and to describe incidence after hotspot detection. Areas with greater social vulnerabilities, particularly those related to higher representation of racial and ethnic minority residents (risk ratio [RR] = 5.3; 95% confidence interval [CI] = 4.4-6.4), density of housing units per structure (RR = 3.1; 95% CI = 2.7-3.6), and crowded housing units (i.e., more persons than rooms) (RR = 2.0; 95% CI = 1.8-2.3), were more likely to become hotspots, especially in less urban areas. Among hotspot counties, those with greater social vulnerability had higher COVID-19 incidence during the 14 days after detection (212-234 cases per 100,000 persons for highest SVI quartile versus 35-131 cases per 100,000 persons for other quartiles). Focused public health action at the federal, state, and local levels is needed not only to prevent communities with greater social vulnerability from becoming hotspots but also to decrease persistently high incidence among hotspot counties that are socially vulnerable. |
| doi_str_mv | 10.15585/mmwr.mm6942a3 |
| format | Article |
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CDC uses standard criteria to identify U.S. counties with rapidly increasing coronavirus disease 2019 (COVID-19) incidence (hotspot counties) to support health departments in coordinating public health responses (2). County-level data on COVID-19 cases during June 1-July 25, 2020 and from the 2018 CDC social vulnerability index (SVI) were analyzed to examine associations between social vulnerability and hotspot detection and to describe incidence after hotspot detection. Areas with greater social vulnerabilities, particularly those related to higher representation of racial and ethnic minority residents (risk ratio [RR] = 5.3; 95% confidence interval [CI] = 4.4-6.4), density of housing units per structure (RR = 3.1; 95% CI = 2.7-3.6), and crowded housing units (i.e., more persons than rooms) (RR = 2.0; 95% CI = 1.8-2.3), were more likely to become hotspots, especially in less urban areas. Among hotspot counties, those with greater social vulnerability had higher COVID-19 incidence during the 14 days after detection (212-234 cases per 100,000 persons for highest SVI quartile versus 35-131 cases per 100,000 persons for other quartiles). Focused public health action at the federal, state, and local levels is needed not only to prevent communities with greater social vulnerability from becoming hotspots but also to decrease persistently high incidence among hotspot counties that are socially vulnerable.</description><identifier>ISSN: 0149-2195</identifier><identifier>EISSN: 1545-861X</identifier><identifier>DOI: 10.15585/mmwr.mm6942a3</identifier><identifier>PMID: 33090977</identifier><language>eng</language><publisher>ATLANTA: Centers Disease Control & Prevention</publisher><subject>Coronavirus Infections - epidemiology ; Coronaviruses ; COVID-19 ; Crowding ; Disease transmission ; Full Report ; Health aspects ; Housing ; Humans ; Incidence ; Life Sciences & Biomedicine ; Meat processing ; Minority & ethnic groups ; Pandemics ; Pneumonia, Viral - epidemiology ; Poverty ; Public health ; Public, Environmental & Occupational Health ; Residence Characteristics - statistics & numerical data ; Risk Assessment ; Science & Technology ; Social Determinants of Health ; Socioeconomic factors ; United States - epidemiology ; Urban areas</subject><ispartof>MMWR. Morbidity and mortality weekly report, 2020-10, Vol.69 (42), p.1535-1541</ispartof><rights>COPYRIGHT 2020 U.S. Government Printing Office</rights><rights>Published 2020. This article is a U.S. Government work and is in the public domain in the USA.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>136</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000582328600006</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c553t-42296d1009447c7cb67b87f6699c8f24db4c3b1acc256e39ad124d564ed4cf753</citedby><cites>FETCH-LOGICAL-c553t-42296d1009447c7cb67b87f6699c8f24db4c3b1acc256e39ad124d564ed4cf753</cites><orcidid>0000-0002-9612-4459 ; 0000-0002-7918-0379 ; 0000-0003-4631-2643 ; 0000-0002-0943-6121</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583500/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583500/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,886,27929,27930,28253,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33090977$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dasgupta, Sharoda</creatorcontrib><creatorcontrib>Bowen, Virginia B.</creatorcontrib><creatorcontrib>Leidner, Andrew</creatorcontrib><creatorcontrib>Fletcher, Kelly</creatorcontrib><creatorcontrib>Musial, Trieste</creatorcontrib><creatorcontrib>Rose, Charles</creatorcontrib><creatorcontrib>Cha, Amy</creatorcontrib><creatorcontrib>Kang, Gloria</creatorcontrib><creatorcontrib>Dirlikov, Emilio</creatorcontrib><creatorcontrib>Pevzner, Eric</creatorcontrib><creatorcontrib>Rose, Dale</creatorcontrib><creatorcontrib>Ritchey, Matthew D.</creatorcontrib><creatorcontrib>Villanueva, Julie</creatorcontrib><creatorcontrib>Philip, Celeste</creatorcontrib><creatorcontrib>Liburd, Leandris</creatorcontrib><creatorcontrib>Oster, Alexandra M.</creatorcontrib><title>Association Between Social Vulnerability and a County's Risk for Becoming a COVID-19 Hotspot - United States, June 1-July 25, 2020</title><title>MMWR. Morbidity and mortality weekly report</title><addtitle>MMWR-MORBID MORTAL W</addtitle><addtitle>MMWR Morb Mortal Wkly Rep</addtitle><description>Poverty, crowded housing, and other community attributes associated with social vulnerability increase a community's risk for adverse health outcomes during and following a public health event (1). CDC uses standard criteria to identify U.S. counties with rapidly increasing coronavirus disease 2019 (COVID-19) incidence (hotspot counties) to support health departments in coordinating public health responses (2). County-level data on COVID-19 cases during June 1-July 25, 2020 and from the 2018 CDC social vulnerability index (SVI) were analyzed to examine associations between social vulnerability and hotspot detection and to describe incidence after hotspot detection. Areas with greater social vulnerabilities, particularly those related to higher representation of racial and ethnic minority residents (risk ratio [RR] = 5.3; 95% confidence interval [CI] = 4.4-6.4), density of housing units per structure (RR = 3.1; 95% CI = 2.7-3.6), and crowded housing units (i.e., more persons than rooms) (RR = 2.0; 95% CI = 1.8-2.3), were more likely to become hotspots, especially in less urban areas. Among hotspot counties, those with greater social vulnerability had higher COVID-19 incidence during the 14 days after detection (212-234 cases per 100,000 persons for highest SVI quartile versus 35-131 cases per 100,000 persons for other quartiles). 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Morbidity and mortality weekly report</jtitle><stitle>MMWR-MORBID MORTAL W</stitle><addtitle>MMWR Morb Mortal Wkly Rep</addtitle><date>2020-10-23</date><risdate>2020</risdate><volume>69</volume><issue>42</issue><spage>1535</spage><epage>1541</epage><pages>1535-1541</pages><issn>0149-2195</issn><eissn>1545-861X</eissn><abstract>Poverty, crowded housing, and other community attributes associated with social vulnerability increase a community's risk for adverse health outcomes during and following a public health event (1). CDC uses standard criteria to identify U.S. counties with rapidly increasing coronavirus disease 2019 (COVID-19) incidence (hotspot counties) to support health departments in coordinating public health responses (2). County-level data on COVID-19 cases during June 1-July 25, 2020 and from the 2018 CDC social vulnerability index (SVI) were analyzed to examine associations between social vulnerability and hotspot detection and to describe incidence after hotspot detection. Areas with greater social vulnerabilities, particularly those related to higher representation of racial and ethnic minority residents (risk ratio [RR] = 5.3; 95% confidence interval [CI] = 4.4-6.4), density of housing units per structure (RR = 3.1; 95% CI = 2.7-3.6), and crowded housing units (i.e., more persons than rooms) (RR = 2.0; 95% CI = 1.8-2.3), were more likely to become hotspots, especially in less urban areas. Among hotspot counties, those with greater social vulnerability had higher COVID-19 incidence during the 14 days after detection (212-234 cases per 100,000 persons for highest SVI quartile versus 35-131 cases per 100,000 persons for other quartiles). Focused public health action at the federal, state, and local levels is needed not only to prevent communities with greater social vulnerability from becoming hotspots but also to decrease persistently high incidence among hotspot counties that are socially vulnerable.</abstract><cop>ATLANTA</cop><pub>Centers Disease Control & Prevention</pub><pmid>33090977</pmid><doi>10.15585/mmwr.mm6942a3</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9612-4459</orcidid><orcidid>https://orcid.org/0000-0002-7918-0379</orcidid><orcidid>https://orcid.org/0000-0003-4631-2643</orcidid><orcidid>https://orcid.org/0000-0002-0943-6121</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | MMWR. Morbidity and mortality weekly report, 2020-10, Vol.69 (42), p.1535-1541 |
| issn | 0149-2195 1545-861X |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; JSTOR Archive Collection A-Z Listing; Web of Science - Science Citation Index Expanded - 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; PubMed Central |
| subjects | Coronavirus Infections - epidemiology Coronaviruses COVID-19 Crowding Disease transmission Full Report Health aspects Housing Humans Incidence Life Sciences & Biomedicine Meat processing Minority & ethnic groups Pandemics Pneumonia, Viral - epidemiology Poverty Public health Public, Environmental & Occupational Health Residence Characteristics - statistics & numerical data Risk Assessment Science & Technology Social Determinants of Health Socioeconomic factors United States - epidemiology Urban areas |
| title | Association Between Social Vulnerability and a County's Risk for Becoming a COVID-19 Hotspot - United States, June 1-July 25, 2020 |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T23%3A19%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Association%20Between%20Social%20Vulnerability%20and%20a%20County's%20Risk%20for%20Becoming%20a%20COVID-19%20Hotspot%20-%20United%20States,%20June%201-July%2025,%202020&rft.jtitle=MMWR.%20Morbidity%20and%20mortality%20weekly%20report&rft.au=Dasgupta,%20Sharoda&rft.date=2020-10-23&rft.volume=69&rft.issue=42&rft.spage=1535&rft.epage=1541&rft.pages=1535-1541&rft.issn=0149-2195&rft.eissn=1545-861X&rft_id=info:doi/10.15585/mmwr.mm6942a3&rft_dat=%3Cgale_pubme%3EA640964394%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2454674380&rft_id=info:pmid/33090977&rft_galeid=A640964394&rfr_iscdi=true |