Estimates of the impact of COVID-19 on mortality of institutionalized elderly in Brazil.
Identifieur interne : 000593 ( Main/Exploration ); précédent : 000592; suivant : 000594Estimates of the impact of COVID-19 on mortality of institutionalized elderly in Brazil.
Auteurs : Carla Jorge Machado [Oman] ; Claudia Cristina De Aguiar Pereira [Brésil] ; Bernardo De Mattos Viana [Brésil] ; Graziella Lage Oliveira [Oman] ; Daniel Carvalho Melo [Brésil] ; Jáder Freitas Maciel Garcia De Carvalho [Brésil] ; Flávia Lanna De Moraes [Brésil] ; Edgar Nunes De Moraes [Brésil]Source :
- Ciencia & saude coletiva [ 1678-4561 ] ; 2020.
Descripteurs français
- KwdFr :
- Brésil (épidémiologie), Humains (MeSH), Infections à coronavirus (mortalité), Infections à coronavirus (épidémiologie), Institutionnalisation (statistiques et données numériques), Maisons de retraite médicalisées (statistiques et données numériques), Pandémies (MeSH), Pneumopathie virale (mortalité), Pneumopathie virale (épidémiologie), Simulation numérique (MeSH), Soins de longue durée (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Études transversales (MeSH).
- MESH :
- mortalité : Infections à coronavirus, Pneumopathie virale.
- statistiques et données numériques : Institutionnalisation, Maisons de retraite médicalisées.
- épidémiologie : Brésil, Infections à coronavirus, Pneumopathie virale.
- Humains, Pandémies, Simulation numérique, Soins de longue durée, Sujet âgé, Sujet âgé de 80 ans ou plus, Études transversales.
- Wicri :
- geographic : Brésil.
English descriptors
- KwdEn :
- Aged (MeSH), Aged, 80 and over (MeSH), Brazil (epidemiology), Computer Simulation (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (mortality), Cross-Sectional Studies (MeSH), Homes for the Aged (statistics & numerical data), Humans (MeSH), Institutionalization (statistics & numerical data), Long-Term Care (MeSH), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Pneumonia, Viral (mortality).
- MESH :
- geographic , epidemiology : Brazil.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Homes for the Aged, Institutionalization.
- Aged, Aged, 80 and over, Computer Simulation, Cross-Sectional Studies, Humans, Long-Term Care, Pandemics.
Abstract
The COVID-19 pandemic poses difficulties for long-term care institutions for the elderly, with increased mortality rates for the residents. This study aims to estimate the impact of COVID-19 on mortality of institutionalized elderly in Brazil. Estimates of the percentage of elderly deaths occurring in care homes were calculated for Brazil, States and Regions using estimates for the total number of deaths. The estimation was based upon information available for other countries. The weighted percentage was 44.7% and 107,538 COVID-19 deaths were estimated for the elderly in these institutions in Brazil in 2020. Higher numbers of deaths were expected in the Southeast Region (48,779 deaths), followed by the Northeast Region (28,451 deaths); São Paulo was the most affected State (24,500 deaths). The strong impact of COVID-19 on the elderly population living in long-term care facilities is clear. Estimates for the country exceeded 100,000 elderly people, potentially the most fragile and vulnerable, and are based upon a conservative number of total deaths, in view of other estimates and the alarming situation of death growth in Brazil from COVID-19.
DOI: 10.1590/1413-81232020259.14552020
PubMed: 32876245
Affiliations:
- Brésil, Oman
- Minas Gerais, État de Rio de Janeiro
- Belo Horizonte
- Université fédérale du Minas Gerais
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Estimates of the impact of COVID-19 on mortality of institutionalized elderly in Brazil.</title><author><name sortKey="Machado, Carla Jorge" sort="Machado, Carla Jorge" uniqKey="Machado C" first="Carla Jorge" last="Machado">Carla Jorge Machado</name><affiliation wicri:level="4"><nlm:affiliation>Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil, carlajmachado@gmail.com.</nlm:affiliation><country wicri:rule="url">Oman</country><wicri:regionArea>Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil</wicri:regionArea><orgName type="university">Université fédérale du Minas Gerais</orgName><placeName><settlement type="city">Belo Horizonte</settlement><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Pereira, Claudia Cristina De Aguiar" sort="Pereira, Claudia Cristina De Aguiar" uniqKey="Pereira C" first="Claudia Cristina De Aguiar" last="Pereira">Claudia Cristina De Aguiar Pereira</name><affiliation wicri:level="2"><nlm:affiliation>Departamento de Administração e Planejamento em Saúde, Escola Nacional de Saúde Pública Sergio Arouca, Fiocruz, Rio de Janeiro, RJ, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Departamento de Administração e Planejamento em Saúde, Escola Nacional de Saúde Pública Sergio Arouca, Fiocruz, Rio de Janeiro, RJ</wicri:regionArea><placeName><region type="state">État de Rio de Janeiro</region></placeName></affiliation></author><author><name sortKey="Viana, Bernardo De Mattos" sort="Viana, Bernardo De Mattos" uniqKey="Viana B" first="Bernardo De Mattos" last="Viana">Bernardo De Mattos Viana</name><affiliation wicri:level="2"><nlm:affiliation>Departamento de Saúde Mental, Faculdade de Medicina, UFMG, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Departamento de Saúde Mental, Faculdade de Medicina, UFMG</wicri:regionArea><placeName><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Oliveira, Graziella Lage" sort="Oliveira, Graziella Lage" uniqKey="Oliveira G" first="Graziella Lage" last="Oliveira">Graziella Lage Oliveira</name><affiliation wicri:level="4"><nlm:affiliation>Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil, carlajmachado@gmail.com.</nlm:affiliation><country wicri:rule="url">Oman</country><wicri:regionArea>Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil</wicri:regionArea><orgName type="university">Université fédérale du Minas Gerais</orgName><placeName><settlement type="city">Belo Horizonte</settlement><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Melo, Daniel Carvalho" sort="Melo, Daniel Carvalho" uniqKey="Melo D" first="Daniel Carvalho" last="Melo">Daniel Carvalho Melo</name><affiliation wicri:level="2"><nlm:affiliation>MedLogic, Belo Horizonte, MG, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>MedLogic, Belo Horizonte, MG</wicri:regionArea><placeName><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Carvalho, Jader Freitas Maciel Garcia De" sort="Carvalho, Jader Freitas Maciel Garcia De" uniqKey="Carvalho J" first="Jáder Freitas Maciel Garcia De" last="Carvalho">Jáder Freitas Maciel Garcia De Carvalho</name><affiliation wicri:level="2"><nlm:affiliation>Hospital das Clínicas, UFMG, Belo Horizonte, MG, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital das Clínicas, UFMG, Belo Horizonte, MG</wicri:regionArea><placeName><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Moraes, Flavia Lanna De" sort="Moraes, Flavia Lanna De" uniqKey="Moraes F" first="Flávia Lanna De" last="Moraes">Flávia Lanna De Moraes</name><affiliation wicri:level="2"><nlm:affiliation>Secretaria Municipal de Saúde, Prefeitura Municipal de Belo Horizonte, Belo Horizonte, MG, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Secretaria Municipal de Saúde, Prefeitura Municipal de Belo Horizonte, Belo Horizonte, MG</wicri:regionArea><placeName><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Moraes, Edgar Nunes De" sort="Moraes, Edgar Nunes De" uniqKey="Moraes E" first="Edgar Nunes De" last="Moraes">Edgar Nunes De Moraes</name><affiliation wicri:level="2"><nlm:affiliation>Departamento de Clínica Médica, UFMG, Belo Horizonte, MG, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Departamento de Clínica Médica, UFMG, Belo Horizonte, MG</wicri:regionArea><placeName><region type="state">Minas Gerais</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32876245</idno><idno type="pmid">32876245</idno><idno type="doi">10.1590/1413-81232020259.14552020</idno><idno type="wicri:Area/Main/Corpus">000389</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000389</idno><idno type="wicri:Area/Main/Curation">000389</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000389</idno><idno type="wicri:Area/Main/Exploration">000389</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Estimates of the impact of COVID-19 on mortality of institutionalized elderly in Brazil.</title><author><name sortKey="Machado, Carla Jorge" sort="Machado, Carla Jorge" uniqKey="Machado C" first="Carla Jorge" last="Machado">Carla Jorge Machado</name><affiliation wicri:level="4"><nlm:affiliation>Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil, carlajmachado@gmail.com.</nlm:affiliation><country wicri:rule="url">Oman</country><wicri:regionArea>Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil</wicri:regionArea><orgName type="university">Université fédérale du Minas Gerais</orgName><placeName><settlement type="city">Belo Horizonte</settlement><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Pereira, Claudia Cristina De Aguiar" sort="Pereira, Claudia Cristina De Aguiar" uniqKey="Pereira C" first="Claudia Cristina De Aguiar" last="Pereira">Claudia Cristina De Aguiar Pereira</name><affiliation wicri:level="2"><nlm:affiliation>Departamento de Administração e Planejamento em Saúde, Escola Nacional de Saúde Pública Sergio Arouca, Fiocruz, Rio de Janeiro, RJ, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Departamento de Administração e Planejamento em Saúde, Escola Nacional de Saúde Pública Sergio Arouca, Fiocruz, Rio de Janeiro, RJ</wicri:regionArea><placeName><region type="state">État de Rio de Janeiro</region></placeName></affiliation></author><author><name sortKey="Viana, Bernardo De Mattos" sort="Viana, Bernardo De Mattos" uniqKey="Viana B" first="Bernardo De Mattos" last="Viana">Bernardo De Mattos Viana</name><affiliation wicri:level="2"><nlm:affiliation>Departamento de Saúde Mental, Faculdade de Medicina, UFMG, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Departamento de Saúde Mental, Faculdade de Medicina, UFMG</wicri:regionArea><placeName><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Oliveira, Graziella Lage" sort="Oliveira, Graziella Lage" uniqKey="Oliveira G" first="Graziella Lage" last="Oliveira">Graziella Lage Oliveira</name><affiliation wicri:level="4"><nlm:affiliation>Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil, carlajmachado@gmail.com.</nlm:affiliation><country wicri:rule="url">Oman</country><wicri:regionArea>Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil</wicri:regionArea><orgName type="university">Université fédérale du Minas Gerais</orgName><placeName><settlement type="city">Belo Horizonte</settlement><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Melo, Daniel Carvalho" sort="Melo, Daniel Carvalho" uniqKey="Melo D" first="Daniel Carvalho" last="Melo">Daniel Carvalho Melo</name><affiliation wicri:level="2"><nlm:affiliation>MedLogic, Belo Horizonte, MG, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>MedLogic, Belo Horizonte, MG</wicri:regionArea><placeName><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Carvalho, Jader Freitas Maciel Garcia De" sort="Carvalho, Jader Freitas Maciel Garcia De" uniqKey="Carvalho J" first="Jáder Freitas Maciel Garcia De" last="Carvalho">Jáder Freitas Maciel Garcia De Carvalho</name><affiliation wicri:level="2"><nlm:affiliation>Hospital das Clínicas, UFMG, Belo Horizonte, MG, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital das Clínicas, UFMG, Belo Horizonte, MG</wicri:regionArea><placeName><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Moraes, Flavia Lanna De" sort="Moraes, Flavia Lanna De" uniqKey="Moraes F" first="Flávia Lanna De" last="Moraes">Flávia Lanna De Moraes</name><affiliation wicri:level="2"><nlm:affiliation>Secretaria Municipal de Saúde, Prefeitura Municipal de Belo Horizonte, Belo Horizonte, MG, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Secretaria Municipal de Saúde, Prefeitura Municipal de Belo Horizonte, Belo Horizonte, MG</wicri:regionArea><placeName><region type="state">Minas Gerais</region></placeName></affiliation></author><author><name sortKey="Moraes, Edgar Nunes De" sort="Moraes, Edgar Nunes De" uniqKey="Moraes E" first="Edgar Nunes De" last="Moraes">Edgar Nunes De Moraes</name><affiliation wicri:level="2"><nlm:affiliation>Departamento de Clínica Médica, UFMG, Belo Horizonte, MG, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Departamento de Clínica Médica, UFMG, Belo Horizonte, MG</wicri:regionArea><placeName><region type="state">Minas Gerais</region></placeName></affiliation></author></analytic><series><title level="j">Ciencia & saude coletiva</title><idno type="eISSN">1678-4561</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Brazil (epidemiology)</term><term>Computer Simulation (MeSH)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (mortality)</term><term>Cross-Sectional Studies (MeSH)</term><term>Homes for the Aged (statistics & numerical data)</term><term>Humans (MeSH)</term><term>Institutionalization (statistics & numerical data)</term><term>Long-Term Care (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (mortality)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Brésil (épidémiologie)</term><term>Humains (MeSH)</term><term>Infections à coronavirus (mortalité)</term><term>Infections à coronavirus (épidémiologie)</term><term>Institutionnalisation (statistiques et données numériques)</term><term>Maisons de retraite médicalisées (statistiques et données numériques)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (mortalité)</term><term>Pneumopathie virale (épidémiologie)</term><term>Simulation numérique (MeSH)</term><term>Soins de longue durée (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Études transversales (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Brazil</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Homes for the Aged</term><term>Institutionalization</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Institutionnalisation</term><term>Maisons de retraite médicalisées</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Brésil</term><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Aged, 80 and over</term><term>Computer Simulation</term><term>Cross-Sectional Studies</term><term>Humans</term><term>Long-Term Care</term><term>Pandemics</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Humains</term><term>Pandémies</term><term>Simulation numérique</term><term>Soins de longue durée</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Études transversales</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Brésil</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The COVID-19 pandemic poses difficulties for long-term care institutions for the elderly, with increased mortality rates for the residents. This study aims to estimate the impact of COVID-19 on mortality of institutionalized elderly in Brazil. Estimates of the percentage of elderly deaths occurring in care homes were calculated for Brazil, States and Regions using estimates for the total number of deaths. The estimation was based upon information available for other countries. The weighted percentage was 44.7% and 107,538 COVID-19 deaths were estimated for the elderly in these institutions in Brazil in 2020. Higher numbers of deaths were expected in the Southeast Region (48,779 deaths), followed by the Northeast Region (28,451 deaths); São Paulo was the most affected State (24,500 deaths). The strong impact of COVID-19 on the elderly population living in long-term care facilities is clear. Estimates for the country exceeded 100,000 elderly people, potentially the most fragile and vulnerable, and are based upon a conservative number of total deaths, in view of other estimates and the alarming situation of death growth in Brazil from COVID-19.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32876245</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>08</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>08</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1678-4561</ISSN><JournalIssue CitedMedium="Internet"><Volume>25</Volume><Issue>9</Issue><PubDate><Year>2020</Year><Month>Sep</Month></PubDate></JournalIssue><Title>Ciencia & saude coletiva</Title><ISOAbbreviation>Cien Saude Colet</ISOAbbreviation></Journal><ArticleTitle>Estimates of the impact of COVID-19 on mortality of institutionalized elderly in Brazil.</ArticleTitle><Pagination><MedlinePgn>3437-3444</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S1413-81232020000903437</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1590/1413-81232020259.14552020</ELocationID><Abstract><AbstractText>The COVID-19 pandemic poses difficulties for long-term care institutions for the elderly, with increased mortality rates for the residents. This study aims to estimate the impact of COVID-19 on mortality of institutionalized elderly in Brazil. Estimates of the percentage of elderly deaths occurring in care homes were calculated for Brazil, States and Regions using estimates for the total number of deaths. The estimation was based upon information available for other countries. The weighted percentage was 44.7% and 107,538 COVID-19 deaths were estimated for the elderly in these institutions in Brazil in 2020. Higher numbers of deaths were expected in the Southeast Region (48,779 deaths), followed by the Northeast Region (28,451 deaths); São Paulo was the most affected State (24,500 deaths). The strong impact of COVID-19 on the elderly population living in long-term care facilities is clear. Estimates for the country exceeded 100,000 elderly people, potentially the most fragile and vulnerable, and are based upon a conservative number of total deaths, in view of other estimates and the alarming situation of death growth in Brazil from COVID-19.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Machado</LastName><ForeName>Carla Jorge</ForeName><Initials>CJ</Initials><AffiliationInfo><Affiliation>Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil, carlajmachado@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pereira</LastName><ForeName>Claudia Cristina de Aguiar</ForeName><Initials>CCA</Initials><AffiliationInfo><Affiliation>Departamento de Administração e Planejamento em Saúde, Escola Nacional de Saúde Pública Sergio Arouca, Fiocruz, Rio de Janeiro, RJ, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Viana</LastName><ForeName>Bernardo de Mattos</ForeName><Initials>BM</Initials><AffiliationInfo><Affiliation>Departamento de Saúde Mental, Faculdade de Medicina, UFMG, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Oliveira</LastName><ForeName>Graziella Lage</ForeName><Initials>GL</Initials><AffiliationInfo><Affiliation>Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil, carlajmachado@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Melo</LastName><ForeName>Daniel Carvalho</ForeName><Initials>DC</Initials><AffiliationInfo><Affiliation>MedLogic, Belo Horizonte, MG, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Carvalho</LastName><ForeName>Jáder Freitas Maciel Garcia de</ForeName><Initials>JFMG</Initials><AffiliationInfo><Affiliation>Hospital das Clínicas, UFMG, Belo Horizonte, MG, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Moraes</LastName><ForeName>Flávia Lanna de</ForeName><Initials>FL</Initials><AffiliationInfo><Affiliation>Secretaria Municipal de Saúde, Prefeitura Municipal de Belo Horizonte, Belo Horizonte, MG, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Moraes</LastName><ForeName>Edgar Nunes de</ForeName><Initials>EN</Initials><AffiliationInfo><Affiliation>Departamento de Clínica Médica, UFMG, Belo Horizonte, MG, Brazil.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><Language>por</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>Estimativas de impacto da COVID-19 na mortalidade de idosos institucionalizados no Brasil.</VernacularTitle><ArticleDate DateType="Electronic"><Year>2020</Year><Month>08</Month><Day>28</Day></ArticleDate></Article><MedlineJournalInfo><Country>Brazil</Country><MedlineTA>Cien Saude Colet</MedlineTA><NlmUniqueID>9713483</NlmUniqueID><ISSNLinking>1413-8123</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001938" MajorTopicYN="N" Type="Geographic">Brazil</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003198" MajorTopicYN="N">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006707" MajorTopicYN="N">Homes for the Aged</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007326" MajorTopicYN="N">Institutionalization</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008134" MajorTopicYN="Y">Long-Term Care</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>05</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>06</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>9</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>9</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32876245</ArticleId><ArticleId IdType="pii">S1413-81232020000903437</ArticleId><ArticleId IdType="doi">10.1590/1413-81232020259.14552020</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Brésil</li><li>Oman</li></country><region><li>Minas Gerais</li><li>État de Rio de Janeiro</li></region><settlement><li>Belo Horizonte</li></settlement><orgName><li>Université fédérale du Minas Gerais</li></orgName></list><tree><country name="Oman"><region name="Minas Gerais"><name sortKey="Machado, Carla Jorge" sort="Machado, Carla Jorge" uniqKey="Machado C" first="Carla Jorge" last="Machado">Carla Jorge Machado</name></region><name sortKey="Oliveira, Graziella Lage" sort="Oliveira, Graziella Lage" uniqKey="Oliveira G" first="Graziella Lage" last="Oliveira">Graziella Lage Oliveira</name></country><country name="Brésil"><region name="État de Rio de Janeiro"><name sortKey="Pereira, Claudia Cristina De Aguiar" sort="Pereira, Claudia Cristina De Aguiar" uniqKey="Pereira C" first="Claudia Cristina De Aguiar" last="Pereira">Claudia Cristina De Aguiar Pereira</name></region><name sortKey="Carvalho, Jader Freitas Maciel Garcia De" sort="Carvalho, Jader Freitas Maciel Garcia De" uniqKey="Carvalho J" first="Jáder Freitas Maciel Garcia De" last="Carvalho">Jáder Freitas Maciel Garcia De Carvalho</name><name sortKey="Melo, Daniel Carvalho" sort="Melo, Daniel Carvalho" uniqKey="Melo D" first="Daniel Carvalho" last="Melo">Daniel Carvalho Melo</name><name sortKey="Moraes, Edgar Nunes De" sort="Moraes, Edgar Nunes De" uniqKey="Moraes E" first="Edgar Nunes De" last="Moraes">Edgar Nunes De Moraes</name><name sortKey="Moraes, Flavia Lanna De" sort="Moraes, Flavia Lanna De" uniqKey="Moraes F" first="Flávia Lanna De" last="Moraes">Flávia Lanna De Moraes</name><name sortKey="Viana, Bernardo De Mattos" sort="Viana, Bernardo De Mattos" uniqKey="Viana B" first="Bernardo De Mattos" last="Viana">Bernardo De Mattos Viana</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidSeniorV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000593 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000593 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= CovidSeniorV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:32876245
|texte= Estimates of the impact of COVID-19 on mortality of institutionalized elderly in Brazil.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:32876245" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a CovidSeniorV1
| This area was generated with Dilib version V0.6.37. |  |