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Who Gets Sick From COVID-19? Sociodemographic Correlates of Severe Adult Health Outcomes During Alpha- and Delta-Variant Predominant Periods: September 2020–November 2021
Abstract Background Because COVID-19 case data do not capture most SARS-CoV-2 infections, the actual risk of severe disease and death per infection is unknown. Integrating sociodemographic data into analysis can show consequential health disparities. Methods Data were merged from September 2020 to N...
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Published in: | The Journal of infectious diseases 2024-01, Vol.229 (1), p.122-132 |
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creator | Wei, Stanley C Freeman, Dane Himschoot, Austin Clarke, Kristie E N Van Dyke, Miriam E Adjemian, Jennifer Ahmad, Farida B Benoit, Tina J Berney, Kevin Gundlapalli, Adi V Hall, Aron J Havers, Fiona Henley, S Jane Hilton, Charity Johns, Dylan Opsomer, Jean D Pham, Huong T Stuckey, Matthew J Taylor, Christopher A Jones, Jefferson M |
description | Abstract
Background
Because COVID-19 case data do not capture most SARS-CoV-2 infections, the actual risk of severe disease and death per infection is unknown. Integrating sociodemographic data into analysis can show consequential health disparities.
Methods
Data were merged from September 2020 to November 2021 from 6 national surveillance systems in matched geographic areas and analyzed to estimate numbers of COVID-19–associated cases, emergency department visits, and deaths per 100 000 infections. Relative risks of outcomes per infection were compared by sociodemographic factors in a data set including 1490 counties from 50 states and the District of Columbia, covering 71% of the US population.
Results
Per infection with SARS-CoV-2, COVID-19–related morbidity and mortality were higher among non-Hispanic American Indian and Alaska Native persons, non-Hispanic Black persons, and Hispanic or Latino persons vs non-Hispanic White persons; males vs females; older people vs younger; residents in more socially vulnerable counties vs less; those in large central metro areas vs rural; and people in the South vs the Northeast.
Discussion
Meaningful disparities in COVID-19 morbidity and mortality per infection were associated with sociodemography and geography. Addressing these disparities could have helped prevent the loss of tens of thousands of lives.
An ecologic analysis of 6 surveillance systems found sociodemographic disparities in COVID-19 outcomes per infection, including greater morbidity and mortality per infection among racial and ethnic minority populations, males vs females, and residents of central metropolitan areas vs rural areas. |
doi_str_mv | 10.1093/infdis/jiad357 |
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Background
Because COVID-19 case data do not capture most SARS-CoV-2 infections, the actual risk of severe disease and death per infection is unknown. Integrating sociodemographic data into analysis can show consequential health disparities.
Methods
Data were merged from September 2020 to November 2021 from 6 national surveillance systems in matched geographic areas and analyzed to estimate numbers of COVID-19–associated cases, emergency department visits, and deaths per 100 000 infections. Relative risks of outcomes per infection were compared by sociodemographic factors in a data set including 1490 counties from 50 states and the District of Columbia, covering 71% of the US population.
Results
Per infection with SARS-CoV-2, COVID-19–related morbidity and mortality were higher among non-Hispanic American Indian and Alaska Native persons, non-Hispanic Black persons, and Hispanic or Latino persons vs non-Hispanic White persons; males vs females; older people vs younger; residents in more socially vulnerable counties vs less; those in large central metro areas vs rural; and people in the South vs the Northeast.
Discussion
Meaningful disparities in COVID-19 morbidity and mortality per infection were associated with sociodemography and geography. Addressing these disparities could have helped prevent the loss of tens of thousands of lives.
An ecologic analysis of 6 surveillance systems found sociodemographic disparities in COVID-19 outcomes per infection, including greater morbidity and mortality per infection among racial and ethnic minority populations, males vs females, and residents of central metropolitan areas vs rural areas.</description><identifier>ISSN: 0022-1899</identifier><identifier>ISSN: 1537-6613</identifier><identifier>EISSN: 1537-6613</identifier><identifier>DOI: 10.1093/infdis/jiad357</identifier><identifier>PMID: 37615368</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Adult ; Aged ; COVID-19 - epidemiology ; Ethnicity ; Female ; Hispanic or Latino ; Humans ; Male ; Outcome Assessment, Health Care ; SARS-CoV-2 ; United States - epidemiology</subject><ispartof>The Journal of infectious diseases, 2024-01, Vol.229 (1), p.122-132</ispartof><rights>Published by Oxford University Press on behalf of Infectious Diseases Society of America 2023. 2023</rights><rights>Published by Oxford University Press on behalf of Infectious Diseases Society of America 2023.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-76d48b0e8a25bd391c1412f2f3dec9e6d1777f526c45dc3e069514756437305d3</citedby><cites>FETCH-LOGICAL-c369t-76d48b0e8a25bd391c1412f2f3dec9e6d1777f526c45dc3e069514756437305d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37615368$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wei, Stanley C</creatorcontrib><creatorcontrib>Freeman, Dane</creatorcontrib><creatorcontrib>Himschoot, Austin</creatorcontrib><creatorcontrib>Clarke, Kristie E N</creatorcontrib><creatorcontrib>Van Dyke, Miriam E</creatorcontrib><creatorcontrib>Adjemian, Jennifer</creatorcontrib><creatorcontrib>Ahmad, Farida B</creatorcontrib><creatorcontrib>Benoit, Tina J</creatorcontrib><creatorcontrib>Berney, Kevin</creatorcontrib><creatorcontrib>Gundlapalli, Adi V</creatorcontrib><creatorcontrib>Hall, Aron J</creatorcontrib><creatorcontrib>Havers, Fiona</creatorcontrib><creatorcontrib>Henley, S Jane</creatorcontrib><creatorcontrib>Hilton, Charity</creatorcontrib><creatorcontrib>Johns, Dylan</creatorcontrib><creatorcontrib>Opsomer, Jean D</creatorcontrib><creatorcontrib>Pham, Huong T</creatorcontrib><creatorcontrib>Stuckey, Matthew J</creatorcontrib><creatorcontrib>Taylor, Christopher A</creatorcontrib><creatorcontrib>Jones, Jefferson M</creatorcontrib><title>Who Gets Sick From COVID-19? Sociodemographic Correlates of Severe Adult Health Outcomes During Alpha- and Delta-Variant Predominant Periods: September 2020–November 2021</title><title>The Journal of infectious diseases</title><addtitle>J Infect Dis</addtitle><description>Abstract
Background
Because COVID-19 case data do not capture most SARS-CoV-2 infections, the actual risk of severe disease and death per infection is unknown. Integrating sociodemographic data into analysis can show consequential health disparities.
Methods
Data were merged from September 2020 to November 2021 from 6 national surveillance systems in matched geographic areas and analyzed to estimate numbers of COVID-19–associated cases, emergency department visits, and deaths per 100 000 infections. Relative risks of outcomes per infection were compared by sociodemographic factors in a data set including 1490 counties from 50 states and the District of Columbia, covering 71% of the US population.
Results
Per infection with SARS-CoV-2, COVID-19–related morbidity and mortality were higher among non-Hispanic American Indian and Alaska Native persons, non-Hispanic Black persons, and Hispanic or Latino persons vs non-Hispanic White persons; males vs females; older people vs younger; residents in more socially vulnerable counties vs less; those in large central metro areas vs rural; and people in the South vs the Northeast.
Discussion
Meaningful disparities in COVID-19 morbidity and mortality per infection were associated with sociodemography and geography. Addressing these disparities could have helped prevent the loss of tens of thousands of lives.
An ecologic analysis of 6 surveillance systems found sociodemographic disparities in COVID-19 outcomes per infection, including greater morbidity and mortality per infection among racial and ethnic minority populations, males vs females, and residents of central metropolitan areas vs rural areas.</description><subject>Adult</subject><subject>Aged</subject><subject>COVID-19 - epidemiology</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Hispanic or Latino</subject><subject>Humans</subject><subject>Male</subject><subject>Outcome Assessment, Health Care</subject><subject>SARS-CoV-2</subject><subject>United States - epidemiology</subject><issn>0022-1899</issn><issn>1537-6613</issn><issn>1537-6613</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkc1u1DAQxy0EokvhyhH5CIe0_ojtmAta7dIPqeoiLZRj5LUnXZckTm2nEjfegdfoU_VJCOy2V04zo_nNbw5_hN5SckSJ5se-b5xPxzfeOC7UMzSjgqtCSsqfoxkhjBW00voAvUrphhBScqleogOu5MTJaobuv28DPoWc8NrbH_gkhg4vVlfny4LqT3gdrA8OunAdzbD1Fi9CjNCaDAmHBq_hDiLguRvbjM_AtHmLV2O2oZv2yzH6_hrP22FrCmx6h5fQZlNcmehNn_GXCC50vv_XQ5z-pI-TccjQbSBiRhh5-PX7Mtw9zfQ1etGYNsGbfT1E304-f12cFRer0_PF_KKwXOpcKOnKakOgMkxsHNfU0pKyhjXcgdUgHVVKNYJJWwpnORCpBS2VkCVXnAjHD9H7nXeI4XaElOvOJwtta3oIY6qZpiUTVUnkhB7tUBtDShGaeoi-M_FnTUn9N6F6l1C9T2g6eLd3j5sO3BP-GMkEfNgBYRz-J_sDdxKc5Q</recordid><startdate>20240112</startdate><enddate>20240112</enddate><creator>Wei, Stanley C</creator><creator>Freeman, Dane</creator><creator>Himschoot, Austin</creator><creator>Clarke, Kristie E N</creator><creator>Van Dyke, Miriam E</creator><creator>Adjemian, Jennifer</creator><creator>Ahmad, Farida B</creator><creator>Benoit, Tina J</creator><creator>Berney, Kevin</creator><creator>Gundlapalli, Adi V</creator><creator>Hall, Aron J</creator><creator>Havers, Fiona</creator><creator>Henley, S Jane</creator><creator>Hilton, Charity</creator><creator>Johns, Dylan</creator><creator>Opsomer, Jean D</creator><creator>Pham, Huong T</creator><creator>Stuckey, Matthew J</creator><creator>Taylor, Christopher A</creator><creator>Jones, Jefferson M</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20240112</creationdate><title>Who Gets Sick From COVID-19? Sociodemographic Correlates of Severe Adult Health Outcomes During Alpha- and Delta-Variant Predominant Periods: September 2020–November 2021</title><author>Wei, Stanley C ; Freeman, Dane ; Himschoot, Austin ; Clarke, Kristie E N ; Van Dyke, Miriam E ; Adjemian, Jennifer ; Ahmad, Farida B ; Benoit, Tina J ; Berney, Kevin ; Gundlapalli, Adi V ; Hall, Aron J ; Havers, Fiona ; Henley, S Jane ; Hilton, Charity ; Johns, Dylan ; Opsomer, Jean D ; Pham, Huong T ; Stuckey, Matthew J ; Taylor, Christopher A ; Jones, Jefferson M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-76d48b0e8a25bd391c1412f2f3dec9e6d1777f526c45dc3e069514756437305d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>COVID-19 - epidemiology</topic><topic>Ethnicity</topic><topic>Female</topic><topic>Hispanic or Latino</topic><topic>Humans</topic><topic>Male</topic><topic>Outcome Assessment, Health Care</topic><topic>SARS-CoV-2</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wei, Stanley C</creatorcontrib><creatorcontrib>Freeman, Dane</creatorcontrib><creatorcontrib>Himschoot, Austin</creatorcontrib><creatorcontrib>Clarke, Kristie E N</creatorcontrib><creatorcontrib>Van Dyke, Miriam E</creatorcontrib><creatorcontrib>Adjemian, Jennifer</creatorcontrib><creatorcontrib>Ahmad, Farida B</creatorcontrib><creatorcontrib>Benoit, Tina J</creatorcontrib><creatorcontrib>Berney, Kevin</creatorcontrib><creatorcontrib>Gundlapalli, Adi V</creatorcontrib><creatorcontrib>Hall, Aron J</creatorcontrib><creatorcontrib>Havers, Fiona</creatorcontrib><creatorcontrib>Henley, S Jane</creatorcontrib><creatorcontrib>Hilton, Charity</creatorcontrib><creatorcontrib>Johns, Dylan</creatorcontrib><creatorcontrib>Opsomer, Jean D</creatorcontrib><creatorcontrib>Pham, Huong T</creatorcontrib><creatorcontrib>Stuckey, Matthew J</creatorcontrib><creatorcontrib>Taylor, Christopher A</creatorcontrib><creatorcontrib>Jones, Jefferson M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Stanley C</au><au>Freeman, Dane</au><au>Himschoot, Austin</au><au>Clarke, Kristie E N</au><au>Van Dyke, Miriam E</au><au>Adjemian, Jennifer</au><au>Ahmad, Farida B</au><au>Benoit, Tina J</au><au>Berney, Kevin</au><au>Gundlapalli, Adi V</au><au>Hall, Aron J</au><au>Havers, Fiona</au><au>Henley, S Jane</au><au>Hilton, Charity</au><au>Johns, Dylan</au><au>Opsomer, Jean D</au><au>Pham, Huong T</au><au>Stuckey, Matthew J</au><au>Taylor, Christopher A</au><au>Jones, Jefferson M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Who Gets Sick From COVID-19? Sociodemographic Correlates of Severe Adult Health Outcomes During Alpha- and Delta-Variant Predominant Periods: September 2020–November 2021</atitle><jtitle>The Journal of infectious diseases</jtitle><addtitle>J Infect Dis</addtitle><date>2024-01-12</date><risdate>2024</risdate><volume>229</volume><issue>1</issue><spage>122</spage><epage>132</epage><pages>122-132</pages><issn>0022-1899</issn><issn>1537-6613</issn><eissn>1537-6613</eissn><abstract>Abstract
Background
Because COVID-19 case data do not capture most SARS-CoV-2 infections, the actual risk of severe disease and death per infection is unknown. Integrating sociodemographic data into analysis can show consequential health disparities.
Methods
Data were merged from September 2020 to November 2021 from 6 national surveillance systems in matched geographic areas and analyzed to estimate numbers of COVID-19–associated cases, emergency department visits, and deaths per 100 000 infections. Relative risks of outcomes per infection were compared by sociodemographic factors in a data set including 1490 counties from 50 states and the District of Columbia, covering 71% of the US population.
Results
Per infection with SARS-CoV-2, COVID-19–related morbidity and mortality were higher among non-Hispanic American Indian and Alaska Native persons, non-Hispanic Black persons, and Hispanic or Latino persons vs non-Hispanic White persons; males vs females; older people vs younger; residents in more socially vulnerable counties vs less; those in large central metro areas vs rural; and people in the South vs the Northeast.
Discussion
Meaningful disparities in COVID-19 morbidity and mortality per infection were associated with sociodemography and geography. Addressing these disparities could have helped prevent the loss of tens of thousands of lives.
An ecologic analysis of 6 surveillance systems found sociodemographic disparities in COVID-19 outcomes per infection, including greater morbidity and mortality per infection among racial and ethnic minority populations, males vs females, and residents of central metropolitan areas vs rural areas.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>37615368</pmid><doi>10.1093/infdis/jiad357</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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source | Oxford Journals Online |
subjects | Adult Aged COVID-19 - epidemiology Ethnicity Female Hispanic or Latino Humans Male Outcome Assessment, Health Care SARS-CoV-2 United States - epidemiology |
title | Who Gets Sick From COVID-19? Sociodemographic Correlates of Severe Adult Health Outcomes During Alpha- and Delta-Variant Predominant Periods: September 2020–November 2021 |
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