Disparities in COVID-19 Incidence, Hospitalizations, and Testing, by Area-Level Deprivation - Utah, March 3-July 9, 2020.
Identifieur interne : 000649 ( Main/Exploration ); précédent : 000648; suivant : 000650Disparities in COVID-19 Incidence, Hospitalizations, and Testing, by Area-Level Deprivation - Utah, March 3-July 9, 2020.
Auteurs : Nathaniel M. Lewis ; Mike Friedrichs ; Shelly Wagstaff ; Kylie Sage ; Nathan Lacross ; David Bui ; Keegan Mccaffrey ; Bree Barbeau ; Andrea George ; Carolyn Rose ; Sarah Willardson ; Amy Carter ; Christopher Smoot ; Allyn Nakashima ; Angela DunnSource :
- MMWR. Morbidity and mortality weekly report [ 1545-861X ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Disparités d'accès aux soins (statistiques et données numériques), Disparités de l'état de santé (MeSH), Facteurs de risque (MeSH), Hospitalisation (statistiques et données numériques), Humains (MeSH), Incidence (MeSH), Infections à coronavirus (diagnostic), Infections à coronavirus (prévention et contrôle), Infections à coronavirus (épidémiologie), Jeune adulte (MeSH), Pandémies (prévention et contrôle), Pneumopathie virale (prévention et contrôle), Pneumopathie virale (épidémiologie), Sujet âgé (MeSH), Techniques de laboratoire clinique (statistiques et données numériques), Utah (épidémiologie), Zones de pauvreté (MeSH).
- MESH :
- diagnostic : Infections à coronavirus.
- prévention et contrôle : Infections à coronavirus, Pandémies, Pneumopathie virale.
- statistiques et données numériques : Disparités d'accès aux soins, Hospitalisation, Techniques de laboratoire clinique.
- épidémiologie : Infections à coronavirus, Pneumopathie virale, Utah.
- Adulte, Adulte d'âge moyen, Disparités de l'état de santé, Facteurs de risque, Humains, Incidence, Jeune adulte, Sujet âgé, Zones de pauvreté.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Clinical Laboratory Techniques (statistics & numerical data), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Coronavirus Infections (prevention & control), Health Status Disparities (MeSH), Healthcare Disparities (statistics & numerical data), Hospitalization (statistics & numerical data), Humans (MeSH), Incidence (MeSH), Middle Aged (MeSH), Pandemics (prevention & control), Pneumonia, Viral (epidemiology), Pneumonia, Viral (prevention & control), Poverty Areas (MeSH), Risk Factors (MeSH), Utah (epidemiology), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : Utah.
- diagnosis : Coronavirus Infections.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- prevention & control : Coronavirus Infections, Pandemics, Pneumonia, Viral.
- statistics & numerical data : Clinical Laboratory Techniques, Healthcare Disparities, Hospitalization.
- Adult, Aged, Health Status Disparities, Humans, Incidence, Middle Aged, Poverty Areas, Risk Factors, Young Adult.
Abstract
Coronavirus disease 2019 (COVID-19) has had a substantial impact on racial and ethnic minority populations and essential workers in the United States, but the role of geographic social and economic inequities (i.e., deprivation) in these disparities has not been examined (1,2). As of July 9, 2020, Utah had reported 27,356 confirmed COVID-19 cases. To better understand how area-level deprivation might reinforce ethnic, racial, and workplace-based COVID-19 inequities (3), the Utah Department of Health (UDOH) analyzed confirmed cases of infection with SARS-CoV-2 (the virus that causes COVID-19), COVID-19 hospitalizations, and SARS-CoV-2 testing rates in relation to deprivation as measured by Utah's Health Improvement Index (HII) (4). Age-weighted odds ratios (weighted ORs) were calculated by weighting rates for four age groups (≤24, 25-44, 45-64, and ≥65 years) to a 2000 U.S. Census age-standardized population. Odds of infection increased with level of deprivation and were two times greater in high-deprivation areas (weighted OR = 2.08; 95% confidence interval [CI] = 1.99-2.17) and three times greater (weighted OR = 3.11; 95% CI = 2.98-3.24) in very high-deprivation areas, compared with those in very low-deprivation areas. Odds of hospitalization and testing also increased with deprivation, but to a lesser extent. Local jurisdictions should use measures of deprivation and other social determinants of health to enhance transmission reduction strategies (e.g., increasing availability and accessibility of SARS-CoV-2 testing and distributing prevention guidance) to areas with greatest need. These strategies might include increasing availability and accessibility of SARS-CoV-2 testing, contact tracing, isolation options, preventive care, disease management, and prevention guidance to facilities (e.g., clinics, community centers, and businesses) in areas with high levels of deprivation.
DOI: 10.15585/mmwr.mm6938a4
PubMed: 32970656
Affiliations:
Links toward previous steps (curation, corpus...)
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Lewis</name></author><author><name sortKey="Friedrichs, Mike" sort="Friedrichs, Mike" uniqKey="Friedrichs M" first="Mike" last="Friedrichs">Mike Friedrichs</name></author><author><name sortKey="Wagstaff, Shelly" sort="Wagstaff, Shelly" uniqKey="Wagstaff S" first="Shelly" last="Wagstaff">Shelly Wagstaff</name></author><author><name sortKey="Sage, Kylie" sort="Sage, Kylie" uniqKey="Sage K" first="Kylie" last="Sage">Kylie Sage</name></author><author><name sortKey="Lacross, Nathan" sort="Lacross, Nathan" uniqKey="Lacross N" first="Nathan" last="Lacross">Nathan Lacross</name></author><author><name sortKey="Bui, David" sort="Bui, David" uniqKey="Bui D" first="David" last="Bui">David Bui</name></author><author><name sortKey="Mccaffrey, Keegan" sort="Mccaffrey, Keegan" uniqKey="Mccaffrey K" first="Keegan" last="Mccaffrey">Keegan Mccaffrey</name></author><author><name sortKey="Barbeau, Bree" sort="Barbeau, Bree" uniqKey="Barbeau B" first="Bree" last="Barbeau">Bree Barbeau</name></author><author><name sortKey="George, Andrea" sort="George, Andrea" uniqKey="George A" first="Andrea" last="George">Andrea George</name></author><author><name sortKey="Rose, Carolyn" sort="Rose, Carolyn" uniqKey="Rose C" first="Carolyn" last="Rose">Carolyn Rose</name></author><author><name sortKey="Willardson, Sarah" sort="Willardson, Sarah" uniqKey="Willardson S" first="Sarah" last="Willardson">Sarah Willardson</name></author><author><name sortKey="Carter, Amy" sort="Carter, Amy" uniqKey="Carter A" first="Amy" last="Carter">Amy Carter</name></author><author><name sortKey="Smoot, Christopher" sort="Smoot, Christopher" uniqKey="Smoot C" first="Christopher" last="Smoot">Christopher Smoot</name></author><author><name sortKey="Nakashima, Allyn" sort="Nakashima, Allyn" uniqKey="Nakashima A" first="Allyn" last="Nakashima">Allyn Nakashima</name></author><author><name sortKey="Dunn, Angela" sort="Dunn, Angela" uniqKey="Dunn A" first="Angela" last="Dunn">Angela Dunn</name></author></analytic><series><title level="j">MMWR. Morbidity and mortality weekly report</title><idno type="eISSN">1545-861X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Clinical Laboratory Techniques (statistics & numerical data)</term><term>Coronavirus Infections (diagnosis)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (prevention & control)</term><term>Health Status Disparities (MeSH)</term><term>Healthcare Disparities (statistics & numerical data)</term><term>Hospitalization (statistics & numerical data)</term><term>Humans (MeSH)</term><term>Incidence (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (prevention & control)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (prevention & control)</term><term>Poverty Areas (MeSH)</term><term>Risk Factors (MeSH)</term><term>Utah (epidemiology)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Disparités d'accès aux soins (statistiques et données numériques)</term><term>Disparités de l'état de santé (MeSH)</term><term>Facteurs de risque (MeSH)</term><term>Hospitalisation (statistiques et données numériques)</term><term>Humains (MeSH)</term><term>Incidence (MeSH)</term><term>Infections à coronavirus (diagnostic)</term><term>Infections à coronavirus (prévention et contrôle)</term><term>Infections à coronavirus (épidémiologie)</term><term>Jeune adulte (MeSH)</term><term>Pandémies (prévention et contrôle)</term><term>Pneumopathie virale (prévention et contrôle)</term><term>Pneumopathie virale (épidémiologie)</term><term>Sujet âgé (MeSH)</term><term>Techniques de laboratoire clinique (statistiques et données numériques)</term><term>Utah (épidémiologie)</term><term>Zones de pauvreté (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Utah</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Coronavirus Infections</term><term>Pandemics</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Infections à coronavirus</term><term>Pandémies</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Clinical Laboratory Techniques</term><term>Healthcare Disparities</term><term>Hospitalization</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Disparités d'accès aux soins</term><term>Hospitalisation</term><term>Techniques de laboratoire clinique</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term><term>Utah</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Health Status Disparities</term><term>Humans</term><term>Incidence</term><term>Middle Aged</term><term>Poverty Areas</term><term>Risk Factors</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Disparités de l'état de santé</term><term>Facteurs de risque</term><term>Humains</term><term>Incidence</term><term>Jeune adulte</term><term>Sujet âgé</term><term>Zones de pauvreté</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Coronavirus disease 2019 (COVID-19) has had a substantial impact on racial and ethnic minority populations and essential workers in the United States, but the role of geographic social and economic inequities (i.e., deprivation) in these disparities has not been examined (1,2). As of July 9, 2020, Utah had reported 27,356 confirmed COVID-19 cases. To better understand how area-level deprivation might reinforce ethnic, racial, and workplace-based COVID-19 inequities (3), the Utah Department of Health (UDOH) analyzed confirmed cases of infection with SARS-CoV-2 (the virus that causes COVID-19), COVID-19 hospitalizations, and SARS-CoV-2 testing rates in relation to deprivation as measured by Utah's Health Improvement Index (HII) (4). Age-weighted odds ratios (weighted ORs) were calculated by weighting rates for four age groups (≤24, 25-44, 45-64, and ≥65 years) to a 2000 U.S. Census age-standardized population. Odds of infection increased with level of deprivation and were two times greater in high-deprivation areas (weighted OR = 2.08; 95% confidence interval [CI] = 1.99-2.17) and three times greater (weighted OR = 3.11; 95% CI = 2.98-3.24) in very high-deprivation areas, compared with those in very low-deprivation areas. Odds of hospitalization and testing also increased with deprivation, but to a lesser extent. Local jurisdictions should use measures of deprivation and other social determinants of health to enhance transmission reduction strategies (e.g., increasing availability and accessibility of SARS-CoV-2 testing and distributing prevention guidance) to areas with greatest need. These strategies might include increasing availability and accessibility of SARS-CoV-2 testing, contact tracing, isolation options, preventive care, disease management, and prevention guidance to facilities (e.g., clinics, community centers, and businesses) in areas with high levels of deprivation.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32970656</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>28</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>28</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1545-861X</ISSN><JournalIssue CitedMedium="Internet"><Volume>69</Volume><Issue>38</Issue><PubDate><Year>2020</Year><Month>Sep</Month><Day>25</Day></PubDate></JournalIssue><Title>MMWR. Morbidity and mortality weekly report</Title><ISOAbbreviation>MMWR Morb Mortal Wkly Rep</ISOAbbreviation></Journal><ArticleTitle>Disparities in COVID-19 Incidence, Hospitalizations, and Testing, by Area-Level Deprivation - Utah, March 3-July 9, 2020.</ArticleTitle><Pagination><MedlinePgn>1369-1373</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.15585/mmwr.mm6938a4</ELocationID><Abstract><AbstractText>Coronavirus disease 2019 (COVID-19) has had a substantial impact on racial and ethnic minority populations and essential workers in the United States, but the role of geographic social and economic inequities (i.e., deprivation) in these disparities has not been examined (1,2). As of July 9, 2020, Utah had reported 27,356 confirmed COVID-19 cases. To better understand how area-level deprivation might reinforce ethnic, racial, and workplace-based COVID-19 inequities (3), the Utah Department of Health (UDOH) analyzed confirmed cases of infection with SARS-CoV-2 (the virus that causes COVID-19), COVID-19 hospitalizations, and SARS-CoV-2 testing rates in relation to deprivation as measured by Utah's Health Improvement Index (HII) (4). Age-weighted odds ratios (weighted ORs) were calculated by weighting rates for four age groups (≤24, 25-44, 45-64, and ≥65 years) to a 2000 U.S. Census age-standardized population. Odds of infection increased with level of deprivation and were two times greater in high-deprivation areas (weighted OR = 2.08; 95% confidence interval [CI] = 1.99-2.17) and three times greater (weighted OR = 3.11; 95% CI = 2.98-3.24) in very high-deprivation areas, compared with those in very low-deprivation areas. Odds of hospitalization and testing also increased with deprivation, but to a lesser extent. Local jurisdictions should use measures of deprivation and other social determinants of health to enhance transmission reduction strategies (e.g., increasing availability and accessibility of SARS-CoV-2 testing and distributing prevention guidance) to areas with greatest need. These strategies might include increasing availability and accessibility of SARS-CoV-2 testing, contact tracing, isolation options, preventive care, disease management, and prevention guidance to facilities (e.g., clinics, community centers, and businesses) in areas with high levels of deprivation.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lewis</LastName><ForeName>Nathaniel M</ForeName><Initials>NM</Initials></Author><Author ValidYN="Y"><LastName>Friedrichs</LastName><ForeName>Mike</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Wagstaff</LastName><ForeName>Shelly</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Sage</LastName><ForeName>Kylie</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>LaCross</LastName><ForeName>Nathan</ForeName><Initials>N</Initials></Author><Author ValidYN="Y"><LastName>Bui</LastName><ForeName>David</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>McCaffrey</LastName><ForeName>Keegan</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Barbeau</LastName><ForeName>Bree</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>George</LastName><ForeName>Andrea</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Rose</LastName><ForeName>Carolyn</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Willardson</LastName><ForeName>Sarah</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Carter</LastName><ForeName>Amy</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Smoot</LastName><ForeName>Christopher</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Nakashima</LastName><ForeName>Allyn</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Dunn</LastName><ForeName>Angela</ForeName><Initials>A</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>MMWR Morb Mortal Wkly Rep</MedlineTA><NlmUniqueID>7802429</NlmUniqueID><ISSNLinking>0149-2195</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Protocol" UI="C000657964">COVID-19 diagnostic testing</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019411" MajorTopicYN="N">Clinical Laboratory Techniques</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D054624" MajorTopicYN="Y">Health Status Disparities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D054625" MajorTopicYN="N">Healthcare Disparities</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006760" MajorTopicYN="N">Hospitalization</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015994" MajorTopicYN="N">Incidence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011204" MajorTopicYN="Y">Poverty Areas</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014589" MajorTopicYN="N" Type="Geographic">Utah</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><CoiStatement>All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>24</Day><Hour>17</Hour><Minute>14</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>9</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>9</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32970656</ArticleId><ArticleId IdType="doi">10.15585/mmwr.mm6938a4</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list></list><tree><noCountry><name sortKey="Barbeau, Bree" sort="Barbeau, Bree" uniqKey="Barbeau B" first="Bree" last="Barbeau">Bree Barbeau</name><name sortKey="Bui, David" sort="Bui, David" uniqKey="Bui D" first="David" last="Bui">David Bui</name><name sortKey="Carter, Amy" sort="Carter, Amy" uniqKey="Carter A" first="Amy" last="Carter">Amy Carter</name><name sortKey="Dunn, Angela" sort="Dunn, Angela" uniqKey="Dunn A" first="Angela" last="Dunn">Angela Dunn</name><name sortKey="Friedrichs, Mike" sort="Friedrichs, Mike" uniqKey="Friedrichs M" first="Mike" last="Friedrichs">Mike Friedrichs</name><name sortKey="George, Andrea" sort="George, Andrea" uniqKey="George A" first="Andrea" last="George">Andrea George</name><name sortKey="Lacross, Nathan" sort="Lacross, Nathan" uniqKey="Lacross N" first="Nathan" last="Lacross">Nathan Lacross</name><name sortKey="Lewis, Nathaniel M" sort="Lewis, Nathaniel M" uniqKey="Lewis N" first="Nathaniel M" last="Lewis">Nathaniel M. Lewis</name><name sortKey="Mccaffrey, Keegan" sort="Mccaffrey, Keegan" uniqKey="Mccaffrey K" first="Keegan" last="Mccaffrey">Keegan Mccaffrey</name><name sortKey="Nakashima, Allyn" sort="Nakashima, Allyn" uniqKey="Nakashima A" first="Allyn" last="Nakashima">Allyn Nakashima</name><name sortKey="Rose, Carolyn" sort="Rose, Carolyn" uniqKey="Rose C" first="Carolyn" last="Rose">Carolyn Rose</name><name sortKey="Sage, Kylie" sort="Sage, Kylie" uniqKey="Sage K" first="Kylie" last="Sage">Kylie Sage</name><name sortKey="Smoot, Christopher" sort="Smoot, Christopher" uniqKey="Smoot C" first="Christopher" last="Smoot">Christopher Smoot</name><name sortKey="Wagstaff, Shelly" sort="Wagstaff, Shelly" uniqKey="Wagstaff S" first="Shelly" last="Wagstaff">Shelly Wagstaff</name><name sortKey="Willardson, Sarah" sort="Willardson, Sarah" uniqKey="Willardson S" first="Sarah" last="Willardson">Sarah Willardson</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= Disparities in COVID-19 Incidence, Hospitalizations, and Testing, by Area-Level Deprivation - Utah, March 3-July 9, 2020.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:32970656" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a CovidSeniorV1
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