CovidSeniorV1, Main, Exploration, bibRecord, 000889

COVID-19 Among American Indian and Alaska Native Persons - 23 States, January 31-July 3, 2020.

Identifieur interne : 000889 ( Main/Exploration ); précédent : 000888; suivant : 000890

COVID-19 Among American Indian and Alaska Native Persons - 23 States, January 31-July 3, 2020.

Auteurs : Sarah M. Hatcher ; Christine Agnew-Brune ; Mark Anderson ; Laura D. Zambrano ; Charles E. Rose ; Melissa A. Jim ; Amy Baugher ; Grace S. Liu ; Sadhna V. Patel ; Mary E. Evans ; Talia Pindyck ; Christine L. Dubray ; Jeanette J. Rainey ; Jessica Chen ; Claire Sadowski ; Kathryn Winglee ; Ana Penman-Aguilar ; Amruta Dixit ; Eudora Claw ; Carolyn Parshall ; Ellen Provost ; Aurimar Ayala ; German Gonzalez ; Jamie Ritchey ; Jonathan Davis ; Victoria Warren-Mears ; Sujata Joshi ; Thomas Weiser ; Abigail Echo-Hawk ; Adrian Dominguez ; Amy Poel ; Christy Duke ; Imani Ransby ; Andria Apostolou ; Jeffrey Mccollum

Source :

MMWR. Morbidity and mortality weekly report [ 1545-861X ] ; 2020.

RBID : pubmed:32853193

Descripteurs français

KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Autochtones d'Alaska (statistiques et données numériques), Betacoronavirus (isolement et purification), Disparités de l'état de santé (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Femelle (MeSH), Humains (MeSH), Incidence (MeSH), Indice de gravité de la maladie (MeSH), Indiens d'Amérique Nord (statistiques et données numériques), Infections à coronavirus (diagnostic), Infections à coronavirus (ethnologie), Infections à coronavirus (thérapie), Jeune adulte (MeSH), Mâle (MeSH), Nourrisson (MeSH), Nouveau-né (MeSH), Pandémies (MeSH), Pneumopathie virale (diagnostic), Pneumopathie virale (ethnologie), Pneumopathie virale (thérapie), Résultat thérapeutique (MeSH), Sujet âgé (MeSH), Techniques de laboratoire clinique (MeSH), États-Unis (épidémiologie).
MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- ethnologie : Infections à coronavirus, Pneumopathie virale.
- isolement et purification : Betacoronavirus.
- statistiques et données numériques : Autochtones d'Alaska, Indiens d'Amérique Nord.
- thérapie : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : États-Unis.
- Adolescent, Adulte, Adulte d'âge moyen, Disparités de l'état de santé, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Incidence, Indice de gravité de la maladie, Jeune adulte, Mâle, Nourrisson, Nouveau-né, Pandémies, Résultat thérapeutique, Sujet âgé, Techniques de laboratoire clinique.
Wicri :
- geographic : États-Unis.

English descriptors

KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Alaska Natives (statistics & numerical data), Betacoronavirus (isolation & purification), Child (MeSH), Child, Preschool (MeSH), Clinical Laboratory Techniques (MeSH), Coronavirus Infections (diagnosis), Coronavirus Infections (ethnology), Coronavirus Infections (therapy), Female (MeSH), Health Status Disparities (MeSH), Humans (MeSH), Incidence (MeSH), Indians, North American (statistics & numerical data), Infant (MeSH), Infant, Newborn (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Pneumonia, Viral (ethnology), Pneumonia, Viral (therapy), Severity of Illness Index (MeSH), Treatment Outcome (MeSH), United States (epidemiology), Young Adult (MeSH).
MESH :
- geographic , epidemiology : United States.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- ethnology : Coronavirus Infections, Pneumonia, Viral.
- isolation & purification : Betacoronavirus.
- statistics & numerical data : Alaska Natives, Indians, North American.
- therapy : Coronavirus Infections, Pneumonia, Viral.
- Adolescent, Adult, Aged, Child, Child, Preschool, Clinical Laboratory Techniques, Female, Health Status Disparities, Humans, Incidence, Infant, Infant, Newborn, Male, Middle Aged, Pandemics, Severity of Illness Index, Treatment Outcome, Young Adult.

Abstract

Although non-Hispanic American Indian and Alaska Native (AI/AN) persons account for 0.7% of the U.S. population,* a recent analysis reported that 1.3% of coronavirus disease 2019 (COVID-19) cases reported to CDC with known race and ethnicity were among AI/AN persons (1). To assess the impact of COVID-19 among the AI/AN population, reports of laboratory-confirmed COVID-19 cases during January 22^†-July 3, 2020 were analyzed. The analysis was limited to 23 states^§ with >70% complete race/ethnicity information and five or more laboratory-confirmed COVID-19 cases among both AI/AN persons (alone or in combination with other races and ethnicities) and non-Hispanic white (white) persons. Among 424,899 COVID-19 cases reported by these states, 340,059 (80%) had complete race/ethnicity information; among these 340,059 cases, 9,072 (2.7%) occurred among AI/AN persons, and 138,960 (40.9%) among white persons. Among 340,059 cases with complete patient race/ethnicity data, the cumulative incidence among AI/AN persons in these 23 states was 594 per 100,000 AI/AN population (95% confidence interval [CI] = 203-1,740), compared with 169 per 100,000 white population (95% CI = 137-209) (rate ratio [RR] = 3.5; 95% CI = 1.2-10.1). AI/AN persons with COVID-19 were younger (median age = 40 years; interquartile range [IQR] = 26-56 years) than were white persons (median age = 51 years; IQR = 32-67 years). More complete case report data and timely, culturally responsive, and evidence-based public health efforts that leverage the strengths of AI/AN communities are needed to decrease COVID-19 transmission and improve patient outcomes.

DOI: 10.15585/mmwr.mm6934e1
PubMed: 32853193
PubMed Central: PMC7451969

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000467
to stream Main, to step Curation: 000467

Le document en format XML

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<author><name sortKey="Penman Aguilar, Ana" sort="Penman Aguilar, Ana" uniqKey="Penman Aguilar A" first="Ana" last="Penman-Aguilar">Ana Penman-Aguilar</name>
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<author><name sortKey="Parshall, Carolyn" sort="Parshall, Carolyn" uniqKey="Parshall C" first="Carolyn" last="Parshall">Carolyn Parshall</name>
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<author><name sortKey="Provost, Ellen" sort="Provost, Ellen" uniqKey="Provost E" first="Ellen" last="Provost">Ellen Provost</name>
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<author><name sortKey="Ayala, Aurimar" sort="Ayala, Aurimar" uniqKey="Ayala A" first="Aurimar" last="Ayala">Aurimar Ayala</name>
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<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Alaska Natives (statistics & numerical data)</term>
<term>Betacoronavirus (isolation & purification)</term>
<term>Child (MeSH)</term>
<term>Child, Preschool (MeSH)</term>
<term>Clinical Laboratory Techniques (MeSH)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (ethnology)</term>
<term>Coronavirus Infections (therapy)</term>
<term>Female (MeSH)</term>
<term>Health Status Disparities (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Incidence (MeSH)</term>
<term>Indians, North American (statistics & numerical data)</term>
<term>Infant (MeSH)</term>
<term>Infant, Newborn (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>Pneumonia, Viral (ethnology)</term>
<term>Pneumonia, Viral (therapy)</term>
<term>Severity of Illness Index (MeSH)</term>
<term>Treatment Outcome (MeSH)</term>
<term>United States (epidemiology)</term>
<term>Young Adult (MeSH)</term>
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<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Autochtones d'Alaska (statistiques et données numériques)</term>
<term>Betacoronavirus (isolement et purification)</term>
<term>Disparités de l'état de santé (MeSH)</term>
<term>Enfant (MeSH)</term>
<term>Enfant d'âge préscolaire (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Incidence (MeSH)</term>
<term>Indice de gravité de la maladie (MeSH)</term>
<term>Indiens d'Amérique Nord (statistiques et données numériques)</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (ethnologie)</term>
<term>Infections à coronavirus (thérapie)</term>
<term>Jeune adulte (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Nourrisson (MeSH)</term>
<term>Nouveau-né (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (diagnostic)</term>
<term>Pneumopathie virale (ethnologie)</term>
<term>Pneumopathie virale (thérapie)</term>
<term>Résultat thérapeutique (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Techniques de laboratoire clinique (MeSH)</term>
<term>États-Unis (épidémiologie)</term>
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<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>United States</term>
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<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="ethnologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="ethnology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Betacoronavirus</term>
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<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Alaska Natives</term>
<term>Indians, North American</term>
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<term>Indiens d'Amérique Nord</term>
</keywords>
<keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="thérapie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>États-Unis</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Clinical Laboratory Techniques</term>
<term>Female</term>
<term>Health Status Disparities</term>
<term>Humans</term>
<term>Incidence</term>
<term>Infant</term>
<term>Infant, Newborn</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Severity of Illness Index</term>
<term>Treatment Outcome</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Disparités de l'état de santé</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Femelle</term>
<term>Humains</term>
<term>Incidence</term>
<term>Indice de gravité de la maladie</term>
<term>Jeune adulte</term>
<term>Mâle</term>
<term>Nourrisson</term>
<term>Nouveau-né</term>
<term>Pandémies</term>
<term>Résultat thérapeutique</term>
<term>Sujet âgé</term>
<term>Techniques de laboratoire clinique</term>
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<front><div type="abstract" xml:lang="en">Although non-Hispanic American Indian and Alaska Native (AI/AN) persons account for 0.7% of the U.S. population,* a recent analysis reported that 1.3% of coronavirus disease 2019 (COVID-19) cases reported to CDC with known race and ethnicity were among AI/AN persons (1). To assess the impact of COVID-19 among the AI/AN population, reports of laboratory-confirmed COVID-19 cases during January 22<sup>†</sup>
-July 3, 2020 were analyzed. The analysis was limited to 23 states<sup>§</sup>
 with >70% complete race/ethnicity information and five or more laboratory-confirmed COVID-19 cases among both AI/AN persons (alone or in combination with other races and ethnicities) and non-Hispanic white (white) persons. Among 424,899 COVID-19 cases reported by these states, 340,059 (80%) had complete race/ethnicity information; among these 340,059 cases, 9,072 (2.7%) occurred among AI/AN persons, and 138,960 (40.9%) among white persons. Among 340,059 cases with complete patient race/ethnicity data, the cumulative incidence among AI/AN persons in these 23 states was 594 per 100,000 AI/AN population (95% confidence interval [CI] = 203-1,740), compared with 169 per 100,000 white population (95% CI = 137-209) (rate ratio [RR] = 3.5; 95% CI = 1.2-10.1). AI/AN persons with COVID-19 were younger (median age = 40 years; interquartile range [IQR] = 26-56 years) than were white persons (median age = 51 years; IQR = 32-67 years). More complete case report data and timely, culturally responsive, and evidence-based public health efforts that leverage the strengths of AI/AN communities are needed to decrease COVID-19 transmission and improve patient outcomes.</div>
</front>
</TEI>
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<DateCompleted><Year>2020</Year>
<Month>08</Month>
<Day>28</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>09</Month>
<Day>03</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1545-861X</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>69</Volume>
<Issue>34</Issue>
<PubDate><Year>2020</Year>
<Month>Aug</Month>
<Day>28</Day>
</PubDate>
</JournalIssue>
<Title>MMWR. Morbidity and mortality weekly report</Title>
<ISOAbbreviation>MMWR Morb Mortal Wkly Rep</ISOAbbreviation>
</Journal>
<ArticleTitle>COVID-19 Among American Indian and Alaska Native Persons - 23 States, January 31-July 3, 2020.</ArticleTitle>
<Pagination><MedlinePgn>1166-1169</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.15585/mmwr.mm6934e1</ELocationID>
<Abstract><AbstractText>Although non-Hispanic American Indian and Alaska Native (AI/AN) persons account for 0.7% of the U.S. population,* a recent analysis reported that 1.3% of coronavirus disease 2019 (COVID-19) cases reported to CDC with known race and ethnicity were among AI/AN persons (1). To assess the impact of COVID-19 among the AI/AN population, reports of laboratory-confirmed COVID-19 cases during January 22<sup>†</sup>
-July 3, 2020 were analyzed. The analysis was limited to 23 states<sup>§</sup>
 with >70% complete race/ethnicity information and five or more laboratory-confirmed COVID-19 cases among both AI/AN persons (alone or in combination with other races and ethnicities) and non-Hispanic white (white) persons. Among 424,899 COVID-19 cases reported by these states, 340,059 (80%) had complete race/ethnicity information; among these 340,059 cases, 9,072 (2.7%) occurred among AI/AN persons, and 138,960 (40.9%) among white persons. Among 340,059 cases with complete patient race/ethnicity data, the cumulative incidence among AI/AN persons in these 23 states was 594 per 100,000 AI/AN population (95% confidence interval [CI] = 203-1,740), compared with 169 per 100,000 white population (95% CI = 137-209) (rate ratio [RR] = 3.5; 95% CI = 1.2-10.1). AI/AN persons with COVID-19 were younger (median age = 40 years; interquartile range [IQR] = 26-56 years) than were white persons (median age = 51 years; IQR = 32-67 years). More complete case report data and timely, culturally responsive, and evidence-based public health efforts that leverage the strengths of AI/AN communities are needed to decrease COVID-19 transmission and improve patient outcomes.</AbstractText>
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<Author ValidYN="Y"><LastName>Agnew-Brune</LastName>
<ForeName>Christine</ForeName>
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<Initials>A</Initials>
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<ForeName>Amruta</ForeName>
<Initials>A</Initials>
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<Author ValidYN="Y"><LastName>Claw</LastName>
<ForeName>Eudora</ForeName>
<Initials>E</Initials>
</Author>
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<ForeName>Carolyn</ForeName>
<Initials>C</Initials>
</Author>
<Author ValidYN="Y"><LastName>Provost</LastName>
<ForeName>Ellen</ForeName>
<Initials>E</Initials>
</Author>
<Author ValidYN="Y"><LastName>Ayala</LastName>
<ForeName>Aurimar</ForeName>
<Initials>A</Initials>
</Author>
<Author ValidYN="Y"><LastName>Gonzalez</LastName>
<ForeName>German</ForeName>
<Initials>G</Initials>
</Author>
<Author ValidYN="Y"><LastName>Ritchey</LastName>
<ForeName>Jamie</ForeName>
<Initials>J</Initials>
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<Author ValidYN="Y"><LastName>Davis</LastName>
<ForeName>Jonathan</ForeName>
<Initials>J</Initials>
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<Author ValidYN="Y"><LastName>Warren-Mears</LastName>
<ForeName>Victoria</ForeName>
<Initials>V</Initials>
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<Author ValidYN="Y"><LastName>Joshi</LastName>
<ForeName>Sujata</ForeName>
<Initials>S</Initials>
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<Initials>T</Initials>
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<ForeName>Abigail</ForeName>
<Initials>A</Initials>
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<Author ValidYN="Y"><LastName>Dominguez</LastName>
<ForeName>Adrian</ForeName>
<Initials>A</Initials>
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<Initials>A</Initials>
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<ForeName>Andria</ForeName>
<Initials>A</Initials>
</Author>
<Author ValidYN="Y"><LastName>McCollum</LastName>
<ForeName>Jeffrey</ForeName>
<Initials>J</Initials>
</Author>
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<Language>eng</Language>
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</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>08</Month>
<Day>28</Day>
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<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>MMWR Morb Mortal Wkly Rep</MedlineTA>
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<ISSNLinking>0149-2195</ISSNLinking>
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<SupplMeshName Type="Protocol" UI="C000657964">COVID-19 diagnostic testing</SupplMeshName>
<SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000072957" MajorTopicYN="N">Alaska Natives</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
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</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015994" MajorTopicYN="N">Incidence</DescriptorName>
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<MeshHeading><DescriptorName UI="D014481" MajorTopicYN="N" Type="Geographic">United States</DescriptorName>
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<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>
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<affiliations><list></list>
<tree><noCountry><name sortKey="Agnew Brune, Christine" sort="Agnew Brune, Christine" uniqKey="Agnew Brune C" first="Christine" last="Agnew-Brune">Christine Agnew-Brune</name>
<name sortKey="Anderson, Mark" sort="Anderson, Mark" uniqKey="Anderson M" first="Mark" last="Anderson">Mark Anderson</name>
<name sortKey="Apostolou, Andria" sort="Apostolou, Andria" uniqKey="Apostolou A" first="Andria" last="Apostolou">Andria Apostolou</name>
<name sortKey="Ayala, Aurimar" sort="Ayala, Aurimar" uniqKey="Ayala A" first="Aurimar" last="Ayala">Aurimar Ayala</name>
<name sortKey="Baugher, Amy" sort="Baugher, Amy" uniqKey="Baugher A" first="Amy" last="Baugher">Amy Baugher</name>
<name sortKey="Chen, Jessica" sort="Chen, Jessica" uniqKey="Chen J" first="Jessica" last="Chen">Jessica Chen</name>
<name sortKey="Claw, Eudora" sort="Claw, Eudora" uniqKey="Claw E" first="Eudora" last="Claw">Eudora Claw</name>
<name sortKey="Davis, Jonathan" sort="Davis, Jonathan" uniqKey="Davis J" first="Jonathan" last="Davis">Jonathan Davis</name>
<name sortKey="Dixit, Amruta" sort="Dixit, Amruta" uniqKey="Dixit A" first="Amruta" last="Dixit">Amruta Dixit</name>
<name sortKey="Dominguez, Adrian" sort="Dominguez, Adrian" uniqKey="Dominguez A" first="Adrian" last="Dominguez">Adrian Dominguez</name>
<name sortKey="Dubray, Christine L" sort="Dubray, Christine L" uniqKey="Dubray C" first="Christine L" last="Dubray">Christine L. Dubray</name>
<name sortKey="Duke, Christy" sort="Duke, Christy" uniqKey="Duke C" first="Christy" last="Duke">Christy Duke</name>
<name sortKey="Echo Hawk, Abigail" sort="Echo Hawk, Abigail" uniqKey="Echo Hawk A" first="Abigail" last="Echo-Hawk">Abigail Echo-Hawk</name>
<name sortKey="Evans, Mary E" sort="Evans, Mary E" uniqKey="Evans M" first="Mary E" last="Evans">Mary E. Evans</name>
<name sortKey="Gonzalez, German" sort="Gonzalez, German" uniqKey="Gonzalez G" first="German" last="Gonzalez">German Gonzalez</name>
<name sortKey="Hatcher, Sarah M" sort="Hatcher, Sarah M" uniqKey="Hatcher S" first="Sarah M" last="Hatcher">Sarah M. Hatcher</name>
<name sortKey="Jim, Melissa A" sort="Jim, Melissa A" uniqKey="Jim M" first="Melissa A" last="Jim">Melissa A. Jim</name>
<name sortKey="Joshi, Sujata" sort="Joshi, Sujata" uniqKey="Joshi S" first="Sujata" last="Joshi">Sujata Joshi</name>
<name sortKey="Liu, Grace S" sort="Liu, Grace S" uniqKey="Liu G" first="Grace S" last="Liu">Grace S. Liu</name>
<name sortKey="Mccollum, Jeffrey" sort="Mccollum, Jeffrey" uniqKey="Mccollum J" first="Jeffrey" last="Mccollum">Jeffrey Mccollum</name>
<name sortKey="Parshall, Carolyn" sort="Parshall, Carolyn" uniqKey="Parshall C" first="Carolyn" last="Parshall">Carolyn Parshall</name>
<name sortKey="Patel, Sadhna V" sort="Patel, Sadhna V" uniqKey="Patel S" first="Sadhna V" last="Patel">Sadhna V. Patel</name>
<name sortKey="Penman Aguilar, Ana" sort="Penman Aguilar, Ana" uniqKey="Penman Aguilar A" first="Ana" last="Penman-Aguilar">Ana Penman-Aguilar</name>
<name sortKey="Pindyck, Talia" sort="Pindyck, Talia" uniqKey="Pindyck T" first="Talia" last="Pindyck">Talia Pindyck</name>
<name sortKey="Poel, Amy" sort="Poel, Amy" uniqKey="Poel A" first="Amy" last="Poel">Amy Poel</name>
<name sortKey="Provost, Ellen" sort="Provost, Ellen" uniqKey="Provost E" first="Ellen" last="Provost">Ellen Provost</name>
<name sortKey="Rainey, Jeanette J" sort="Rainey, Jeanette J" uniqKey="Rainey J" first="Jeanette J" last="Rainey">Jeanette J. Rainey</name>
<name sortKey="Ransby, Imani" sort="Ransby, Imani" uniqKey="Ransby I" first="Imani" last="Ransby">Imani Ransby</name>
<name sortKey="Ritchey, Jamie" sort="Ritchey, Jamie" uniqKey="Ritchey J" first="Jamie" last="Ritchey">Jamie Ritchey</name>
<name sortKey="Rose, Charles E" sort="Rose, Charles E" uniqKey="Rose C" first="Charles E" last="Rose">Charles E. Rose</name>
<name sortKey="Sadowski, Claire" sort="Sadowski, Claire" uniqKey="Sadowski C" first="Claire" last="Sadowski">Claire Sadowski</name>
<name sortKey="Warren Mears, Victoria" sort="Warren Mears, Victoria" uniqKey="Warren Mears V" first="Victoria" last="Warren-Mears">Victoria Warren-Mears</name>
<name sortKey="Weiser, Thomas" sort="Weiser, Thomas" uniqKey="Weiser T" first="Thomas" last="Weiser">Thomas Weiser</name>
<name sortKey="Winglee, Kathryn" sort="Winglee, Kathryn" uniqKey="Winglee K" first="Kathryn" last="Winglee">Kathryn Winglee</name>
<name sortKey="Zambrano, Laura D" sort="Zambrano, Laura D" uniqKey="Zambrano L" first="Laura D" last="Zambrano">Laura D. Zambrano</name>
</noCountry>
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COVID-19 Among American Indian and Alaska Native Persons - 23 States, January 31-July 3, 2020.

COVID-19 Among American Indian and Alaska Native Persons - 23 States, January 31-July 3, 2020.

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