Racial and Ethnic Disparities in COVID-19 Infection and Hospitalization in the Active Component US Military

To assess COVID-19 disparities in the active component US military with an emphasis on race and ethnicity. In this retrospective cohort study, we calculated the incidence of COVID-19 testing, infection, and hospitalization in the active component US military in calendar year 2020. Overall, 61.3 per...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:American journal of public health (1971) 2021-12, Vol.111 (12), p.2194-2201
Hauptverfasser: Young, John M, Stahlman, Shauna L, Clausen, Shawn S, Bova, Mark L, Mancuso, James D
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2201
container_issue 12
container_start_page 2194
container_title American journal of public health (1971)
container_volume 111
creator Young, John M
Stahlman, Shauna L
Clausen, Shawn S
Bova, Mark L
Mancuso, James D
description To assess COVID-19 disparities in the active component US military with an emphasis on race and ethnicity. In this retrospective cohort study, we calculated the incidence of COVID-19 testing, infection, and hospitalization in the active component US military in calendar year 2020. Overall, 61.3 per 100 population per year were tested for COVID-19, 10.4% of tests were positive, and 1.1% of infected individuals were hospitalized. Non-Hispanic Blacks and Hispanics had a rate of testing for COVID-19 similar to that of Whites but had a higher risk of infection (adjusted risk ratio [ARR] = 1.25 and 1.26, respectively) and hospitalization (ARR = 1.28 and 1.21, respectively). Although of lower magnitude than seen in civilian populations, racial and ethnic disparities in COVID-19 infection and hospitalizations exist in the US military despite universal eligibility for health care, similar rate of testing, and adjustment for comorbidities and other factors. Simply making health care coverage available may be insufficient to ensure health equity. Interventions to mitigate disparities in the US military should target the patient, provider, health care system, and society at large. ( . 2021;111(12):2194-2201. https://doi.org/10.2105/AJPH.2021.306527).
doi_str_mv 10.2105/AJPH.2021.306527
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8667833</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2616233684</sourcerecordid><originalsourceid>FETCH-LOGICAL-c382t-868a9b39040ee009eb52b11adfec6d0eb01885347977cca88f775fb95bb32b1d3</originalsourceid><addsrcrecordid>eNpdkc1PGzEUxC3UCgLl3lNlqZdeNn221x97QYoCNKlAoLZwtbxeb2PY2Nv1Bqn96-sQigonW_bvzZvRIPSewJQS4J9nX68XUwqUTBkITuUemhBekgKgVG_QBKCCfGfiAB2mdAdASMXJPjpgpZJKSTZB99-M9abDJjT4bFwFb_GpT70Z_Ohdwj7g-dXt8rQgFV6G1tnRx_AIL2Lq_Wg6_8c8vmVyXDk8y8SDw_O47mNwYcQ33_Gl7zI5_H6H3ramS-746TxCN-dnP-aL4uLqy3I-uygsU3QslFCmqlkFJTiXI7ia05oQ0-T1ogFXA1GKs1JWUlprlGql5G1d8bpmGWzYETrZ6fabeu0am20MptP94NfZhY7G65c_wa_0z_iglRBSMZYFPj0JDPHXxqVRr32yrutMcHGTNBWgSk6pLDP68RV6FzdDyPEyRQRlTKgtBTvKDjGlwbXPZgjobZN626TeNql3TeaRD_-HeB74Vx37C7ZAmVc</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2616233684</pqid></control><display><type>article</type><title>Racial and Ethnic Disparities in COVID-19 Infection and Hospitalization in the Active Component US Military</title><source>MEDLINE</source><source>PAIS Index</source><source>EBSCOhost Business Source Complete</source><source>EBSCOhost Education Source</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Young, John M ; Stahlman, Shauna L ; Clausen, Shawn S ; Bova, Mark L ; Mancuso, James D</creator><creatorcontrib>Young, John M ; Stahlman, Shauna L ; Clausen, Shawn S ; Bova, Mark L ; Mancuso, James D</creatorcontrib><description>To assess COVID-19 disparities in the active component US military with an emphasis on race and ethnicity. In this retrospective cohort study, we calculated the incidence of COVID-19 testing, infection, and hospitalization in the active component US military in calendar year 2020. Overall, 61.3 per 100 population per year were tested for COVID-19, 10.4% of tests were positive, and 1.1% of infected individuals were hospitalized. Non-Hispanic Blacks and Hispanics had a rate of testing for COVID-19 similar to that of Whites but had a higher risk of infection (adjusted risk ratio [ARR] = 1.25 and 1.26, respectively) and hospitalization (ARR = 1.28 and 1.21, respectively). Although of lower magnitude than seen in civilian populations, racial and ethnic disparities in COVID-19 infection and hospitalizations exist in the US military despite universal eligibility for health care, similar rate of testing, and adjustment for comorbidities and other factors. Simply making health care coverage available may be insufficient to ensure health equity. Interventions to mitigate disparities in the US military should target the patient, provider, health care system, and society at large. ( . 2021;111(12):2194-2201. https://doi.org/10.2105/AJPH.2021.306527).</description><identifier>ISSN: 0090-0036</identifier><identifier>EISSN: 1541-0048</identifier><identifier>DOI: 10.2105/AJPH.2021.306527</identifier><identifier>PMID: 34878873</identifier><language>eng</language><publisher>United States: American Public Health Association</publisher><subject>Access to Care ; Adult ; Antigens ; Beneficiaries ; Black people ; Cohort analysis ; Comorbidity ; Coronaviruses ; COVID-19 ; COVID-19 - ethnology ; COVID-19 diagnostic tests ; COVID-19 Testing ; Cultural differences ; Disease ; Education ; Epidemiology ; Ethnicity ; Fairness ; Female ; Health care ; Health disparities ; Health risks ; Health services ; Health Status Disparities ; Health surveillance ; Hispanic Americans ; Hospitalization ; Hospitalization - statistics &amp; numerical data ; Humans ; Infections ; Internet ; Laboratories ; Latin American cultural groups ; Male ; Marital status ; Middle Aged ; Military ; Military occupations ; Military personnel ; Military Personnel - statistics &amp; numerical data ; Minority &amp; ethnic groups ; Open-Themed Research ; Other Race/Ethnicity ; Population ; Public health ; Race ; Research &amp; Analysis ; Retrospective Studies ; Review boards ; SARS-CoV-2 ; Sociodemographic Factors ; Socioeconomic Factors ; United States - epidemiology ; Young Adult</subject><ispartof>American journal of public health (1971), 2021-12, Vol.111 (12), p.2194-2201</ispartof><rights>Copyright American Public Health Association Dec 2021</rights><rights>American Public Health Association 2021 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c382t-868a9b39040ee009eb52b11adfec6d0eb01885347977cca88f775fb95bb32b1d3</citedby><cites>FETCH-LOGICAL-c382t-868a9b39040ee009eb52b11adfec6d0eb01885347977cca88f775fb95bb32b1d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667833/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667833/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27865,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34878873$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Young, John M</creatorcontrib><creatorcontrib>Stahlman, Shauna L</creatorcontrib><creatorcontrib>Clausen, Shawn S</creatorcontrib><creatorcontrib>Bova, Mark L</creatorcontrib><creatorcontrib>Mancuso, James D</creatorcontrib><title>Racial and Ethnic Disparities in COVID-19 Infection and Hospitalization in the Active Component US Military</title><title>American journal of public health (1971)</title><addtitle>Am J Public Health</addtitle><description>To assess COVID-19 disparities in the active component US military with an emphasis on race and ethnicity. In this retrospective cohort study, we calculated the incidence of COVID-19 testing, infection, and hospitalization in the active component US military in calendar year 2020. Overall, 61.3 per 100 population per year were tested for COVID-19, 10.4% of tests were positive, and 1.1% of infected individuals were hospitalized. Non-Hispanic Blacks and Hispanics had a rate of testing for COVID-19 similar to that of Whites but had a higher risk of infection (adjusted risk ratio [ARR] = 1.25 and 1.26, respectively) and hospitalization (ARR = 1.28 and 1.21, respectively). Although of lower magnitude than seen in civilian populations, racial and ethnic disparities in COVID-19 infection and hospitalizations exist in the US military despite universal eligibility for health care, similar rate of testing, and adjustment for comorbidities and other factors. Simply making health care coverage available may be insufficient to ensure health equity. Interventions to mitigate disparities in the US military should target the patient, provider, health care system, and society at large. ( . 2021;111(12):2194-2201. https://doi.org/10.2105/AJPH.2021.306527).</description><subject>Access to Care</subject><subject>Adult</subject><subject>Antigens</subject><subject>Beneficiaries</subject><subject>Black people</subject><subject>Cohort analysis</subject><subject>Comorbidity</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - ethnology</subject><subject>COVID-19 diagnostic tests</subject><subject>COVID-19 Testing</subject><subject>Cultural differences</subject><subject>Disease</subject><subject>Education</subject><subject>Epidemiology</subject><subject>Ethnicity</subject><subject>Fairness</subject><subject>Female</subject><subject>Health care</subject><subject>Health disparities</subject><subject>Health risks</subject><subject>Health services</subject><subject>Health Status Disparities</subject><subject>Health surveillance</subject><subject>Hispanic Americans</subject><subject>Hospitalization</subject><subject>Hospitalization - statistics &amp; numerical data</subject><subject>Humans</subject><subject>Infections</subject><subject>Internet</subject><subject>Laboratories</subject><subject>Latin American cultural groups</subject><subject>Male</subject><subject>Marital status</subject><subject>Middle Aged</subject><subject>Military</subject><subject>Military occupations</subject><subject>Military personnel</subject><subject>Military Personnel - statistics &amp; numerical data</subject><subject>Minority &amp; ethnic groups</subject><subject>Open-Themed Research</subject><subject>Other Race/Ethnicity</subject><subject>Population</subject><subject>Public health</subject><subject>Race</subject><subject>Research &amp; Analysis</subject><subject>Retrospective Studies</subject><subject>Review boards</subject><subject>SARS-CoV-2</subject><subject>Sociodemographic Factors</subject><subject>Socioeconomic Factors</subject><subject>United States - epidemiology</subject><subject>Young Adult</subject><issn>0090-0036</issn><issn>1541-0048</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkc1PGzEUxC3UCgLl3lNlqZdeNn221x97QYoCNKlAoLZwtbxeb2PY2Nv1Bqn96-sQigonW_bvzZvRIPSewJQS4J9nX68XUwqUTBkITuUemhBekgKgVG_QBKCCfGfiAB2mdAdASMXJPjpgpZJKSTZB99-M9abDJjT4bFwFb_GpT70Z_Ohdwj7g-dXt8rQgFV6G1tnRx_AIL2Lq_Wg6_8c8vmVyXDk8y8SDw_O47mNwYcQ33_Gl7zI5_H6H3ramS-746TxCN-dnP-aL4uLqy3I-uygsU3QslFCmqlkFJTiXI7ia05oQ0-T1ogFXA1GKs1JWUlprlGql5G1d8bpmGWzYETrZ6fabeu0am20MptP94NfZhY7G65c_wa_0z_iglRBSMZYFPj0JDPHXxqVRr32yrutMcHGTNBWgSk6pLDP68RV6FzdDyPEyRQRlTKgtBTvKDjGlwbXPZgjobZN626TeNql3TeaRD_-HeB74Vx37C7ZAmVc</recordid><startdate>202112</startdate><enddate>202112</enddate><creator>Young, John M</creator><creator>Stahlman, Shauna L</creator><creator>Clausen, Shawn S</creator><creator>Bova, Mark L</creator><creator>Mancuso, James D</creator><general>American Public Health Association</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>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7RV</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88A</scope><scope>88C</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>88J</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>KC-</scope><scope>L.-</scope><scope>L.0</scope><scope>LK8</scope><scope>M0C</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2L</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M2R</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202112</creationdate><title>Racial and Ethnic Disparities in COVID-19 Infection and Hospitalization in the Active Component US Military</title><author>Young, John M ; Stahlman, Shauna L ; Clausen, Shawn S ; Bova, Mark L ; Mancuso, James D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-868a9b39040ee009eb52b11adfec6d0eb01885347977cca88f775fb95bb32b1d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Access to Care</topic><topic>Adult</topic><topic>Antigens</topic><topic>Beneficiaries</topic><topic>Black people</topic><topic>Cohort analysis</topic><topic>Comorbidity</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - ethnology</topic><topic>COVID-19 diagnostic tests</topic><topic>COVID-19 Testing</topic><topic>Cultural differences</topic><topic>Disease</topic><topic>Education</topic><topic>Epidemiology</topic><topic>Ethnicity</topic><topic>Fairness</topic><topic>Female</topic><topic>Health care</topic><topic>Health disparities</topic><topic>Health risks</topic><topic>Health services</topic><topic>Health Status Disparities</topic><topic>Health surveillance</topic><topic>Hispanic Americans</topic><topic>Hospitalization</topic><topic>Hospitalization - statistics &amp; numerical data</topic><topic>Humans</topic><topic>Infections</topic><topic>Internet</topic><topic>Laboratories</topic><topic>Latin American cultural groups</topic><topic>Male</topic><topic>Marital status</topic><topic>Middle Aged</topic><topic>Military</topic><topic>Military occupations</topic><topic>Military personnel</topic><topic>Military Personnel - statistics &amp; numerical data</topic><topic>Minority &amp; ethnic groups</topic><topic>Open-Themed Research</topic><topic>Other Race/Ethnicity</topic><topic>Population</topic><topic>Public health</topic><topic>Race</topic><topic>Research &amp; Analysis</topic><topic>Retrospective Studies</topic><topic>Review boards</topic><topic>SARS-CoV-2</topic><topic>Sociodemographic Factors</topic><topic>Socioeconomic Factors</topic><topic>United States - epidemiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Young, John M</creatorcontrib><creatorcontrib>Stahlman, Shauna L</creatorcontrib><creatorcontrib>Clausen, Shawn S</creatorcontrib><creatorcontrib>Bova, Mark L</creatorcontrib><creatorcontrib>Mancuso, James D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News &amp; ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>PAIS Index</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Politics Collection</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Politics Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Biological Science Collection</collection><collection>ABI/INFORM Global</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Political Science Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Science Database (ProQuest)</collection><collection>Social Science Database</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of public health (1971)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Young, John M</au><au>Stahlman, Shauna L</au><au>Clausen, Shawn S</au><au>Bova, Mark L</au><au>Mancuso, James D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Racial and Ethnic Disparities in COVID-19 Infection and Hospitalization in the Active Component US Military</atitle><jtitle>American journal of public health (1971)</jtitle><addtitle>Am J Public Health</addtitle><date>2021-12</date><risdate>2021</risdate><volume>111</volume><issue>12</issue><spage>2194</spage><epage>2201</epage><pages>2194-2201</pages><issn>0090-0036</issn><eissn>1541-0048</eissn><abstract>To assess COVID-19 disparities in the active component US military with an emphasis on race and ethnicity. In this retrospective cohort study, we calculated the incidence of COVID-19 testing, infection, and hospitalization in the active component US military in calendar year 2020. Overall, 61.3 per 100 population per year were tested for COVID-19, 10.4% of tests were positive, and 1.1% of infected individuals were hospitalized. Non-Hispanic Blacks and Hispanics had a rate of testing for COVID-19 similar to that of Whites but had a higher risk of infection (adjusted risk ratio [ARR] = 1.25 and 1.26, respectively) and hospitalization (ARR = 1.28 and 1.21, respectively). Although of lower magnitude than seen in civilian populations, racial and ethnic disparities in COVID-19 infection and hospitalizations exist in the US military despite universal eligibility for health care, similar rate of testing, and adjustment for comorbidities and other factors. Simply making health care coverage available may be insufficient to ensure health equity. Interventions to mitigate disparities in the US military should target the patient, provider, health care system, and society at large. ( . 2021;111(12):2194-2201. https://doi.org/10.2105/AJPH.2021.306527).</abstract><cop>United States</cop><pub>American Public Health Association</pub><pmid>34878873</pmid><doi>10.2105/AJPH.2021.306527</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0090-0036
ispartof American journal of public health (1971), 2021-12, Vol.111 (12), p.2194-2201
issn 0090-0036
1541-0048
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8667833
source MEDLINE; PAIS Index; EBSCOhost Business Source Complete; EBSCOhost Education Source; PubMed Central; Alma/SFX Local Collection
subjects Access to Care
Adult
Antigens
Beneficiaries
Black people
Cohort analysis
Comorbidity
Coronaviruses
COVID-19
COVID-19 - ethnology
COVID-19 diagnostic tests
COVID-19 Testing
Cultural differences
Disease
Education
Epidemiology
Ethnicity
Fairness
Female
Health care
Health disparities
Health risks
Health services
Health Status Disparities
Health surveillance
Hispanic Americans
Hospitalization
Hospitalization - statistics & numerical data
Humans
Infections
Internet
Laboratories
Latin American cultural groups
Male
Marital status
Middle Aged
Military
Military occupations
Military personnel
Military Personnel - statistics & numerical data
Minority & ethnic groups
Open-Themed Research
Other Race/Ethnicity
Population
Public health
Race
Research & Analysis
Retrospective Studies
Review boards
SARS-CoV-2
Sociodemographic Factors
Socioeconomic Factors
United States - epidemiology
Young Adult
title Racial and Ethnic Disparities in COVID-19 Infection and Hospitalization in the Active Component US Military
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T04%3A30%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Racial%20and%20Ethnic%20Disparities%20in%20COVID-19%20Infection%20and%20Hospitalization%20in%20the%20Active%20Component%20US%20Military&rft.jtitle=American%20journal%20of%20public%20health%20(1971)&rft.au=Young,%20John%20M&rft.date=2021-12&rft.volume=111&rft.issue=12&rft.spage=2194&rft.epage=2201&rft.pages=2194-2201&rft.issn=0090-0036&rft.eissn=1541-0048&rft_id=info:doi/10.2105/AJPH.2021.306527&rft_dat=%3Cproquest_pubme%3E2616233684%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2616233684&rft_id=info:pmid/34878873&rfr_iscdi=true