Excess mortality in Brazil in times of Covid-19.
Identifieur interne : 000577 ( Main/Exploration ); précédent : 000576; suivant : 000578Excess mortality in Brazil in times of Covid-19.
Auteurs : Gulnar Azevedo E. Silva [Brésil] ; Beatriz Cordeiro Jardim [Brésil] ; Cleber Vinicius Brito Dos Santos [Brésil]Source :
- Ciencia & saude coletiva [ 1678-4561 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen (MeSH), Brésil (épidémiologie), Enregistrements (MeSH), Facteurs sexuels (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (mortalité), Infections à coronavirus (épidémiologie), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (mortalité), Pneumopathie virale (épidémiologie), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Villes (MeSH).
- MESH :
- mortalité : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : Brésil, Infections à coronavirus, Pneumopathie virale.
- Adulte d'âge moyen, Enregistrements, Facteurs sexuels, Femelle, Humains, Mâle, Pandémies, Sujet âgé, Sujet âgé de 80 ans ou plus, Villes.
- Wicri :
- geographic : Brésil.
English descriptors
- KwdEn :
- Aged (MeSH), Aged, 80 and over (MeSH), Brazil (epidemiology), Cities (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (mortality), Female (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Pneumonia, Viral (mortality), Registries (MeSH), Sex Factors (MeSH).
- MESH :
- geographic , epidemiology : Brazil.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- Aged, Aged, 80 and over, Cities, Female, Humans, Male, Middle Aged, Pandemics, Registries, Sex Factors.
Abstract
Given the growing number of deaths due to the COVID-19 pandemic in Brazil, this study presents an initial and exploratory descriptive analysis of the excess mortality observed from March to May 2020 in capitals and other municipalities. The data source was the death registers from the Civil Registry Offices. The data were disaggregated by gender and capitals and other municipalities of the 26 federative units and the Federal District. The standardized mortality ratio for 2020 was calculated with the 2019 mortality coefficients as standards. The results showed 39,146 excess deaths for the period studied and is higher among men. This increase was more significant among the capitals of the North, Northeast, and Southeast regions. In the other municipalities in these regions, the increase was observed in May, indicating a possible inland-bound COVID-19 transmission. The need to improve the detection and registration of cases is highlighted to enable the efficient monitoring of the pandemic.
DOI: 10.1590/1413-81232020259.23642020
PubMed: 32876246
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Silva</name><affiliation wicri:level="1"><nlm:affiliation>Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil, gulnar@ims.uerj.br.</nlm:affiliation><country wicri:rule="url">Brésil</country><wicri:regionArea>Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil</wicri:regionArea><wicri:noRegion>Brazil</wicri:noRegion></affiliation></author><author><name sortKey="Jardim, Beatriz Cordeiro" sort="Jardim, Beatriz Cordeiro" uniqKey="Jardim B" first="Beatriz Cordeiro" last="Jardim">Beatriz Cordeiro Jardim</name><affiliation wicri:level="1"><nlm:affiliation>Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil, gulnar@ims.uerj.br.</nlm:affiliation><country wicri:rule="url">Brésil</country><wicri:regionArea>Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil</wicri:regionArea><wicri:noRegion>Brazil</wicri:noRegion></affiliation></author><author><name sortKey="Santos, Cleber Vinicius Brito Dos" sort="Santos, Cleber Vinicius Brito Dos" uniqKey="Santos C" first="Cleber Vinicius Brito Dos" last="Santos">Cleber Vinicius Brito Dos Santos</name><affiliation wicri:level="1"><nlm:affiliation>Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil, gulnar@ims.uerj.br.</nlm:affiliation><country wicri:rule="url">Brésil</country><wicri:regionArea>Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil</wicri:regionArea><wicri:noRegion>Brazil</wicri:noRegion></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>Cities (MeSH)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (mortality)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (mortality)</term><term>Registries (MeSH)</term><term>Sex Factors (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen (MeSH)</term><term>Brésil (épidémiologie)</term><term>Enregistrements (MeSH)</term><term>Facteurs sexuels (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Infections à coronavirus (mortalité)</term><term>Infections à coronavirus (épidémiologie)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (mortalité)</term><term>Pneumopathie virale (épidémiologie)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Villes (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="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>Cities</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Registries</term><term>Sex Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Enregistrements</term><term>Facteurs sexuels</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Pandémies</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Villes</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Brésil</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Given the growing number of deaths due to the COVID-19 pandemic in Brazil, this study presents an initial and exploratory descriptive analysis of the excess mortality observed from March to May 2020 in capitals and other municipalities. The data source was the death registers from the Civil Registry Offices. The data were disaggregated by gender and capitals and other municipalities of the 26 federative units and the Federal District. The standardized mortality ratio for 2020 was calculated with the 2019 mortality coefficients as standards. The results showed 39,146 excess deaths for the period studied and is higher among men. This increase was more significant among the capitals of the North, Northeast, and Southeast regions. In the other municipalities in these regions, the increase was observed in May, indicating a possible inland-bound COVID-19 transmission. The need to improve the detection and registration of cases is highlighted to enable the efficient monitoring of the pandemic.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32876246</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>Excess mortality in Brazil in times of Covid-19.</ArticleTitle><Pagination><MedlinePgn>3345-3354</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S1413-81232020000903345</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1590/1413-81232020259.23642020</ELocationID><Abstract><AbstractText>Given the growing number of deaths due to the COVID-19 pandemic in Brazil, this study presents an initial and exploratory descriptive analysis of the excess mortality observed from March to May 2020 in capitals and other municipalities. The data source was the death registers from the Civil Registry Offices. The data were disaggregated by gender and capitals and other municipalities of the 26 federative units and the Federal District. The standardized mortality ratio for 2020 was calculated with the 2019 mortality coefficients as standards. The results showed 39,146 excess deaths for the period studied and is higher among men. This increase was more significant among the capitals of the North, Northeast, and Southeast regions. In the other municipalities in these regions, the increase was observed in May, indicating a possible inland-bound COVID-19 transmission. The need to improve the detection and registration of cases is highlighted to enable the efficient monitoring of the pandemic.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Silva</LastName><ForeName>Gulnar Azevedo E</ForeName><Initials>GAE</Initials><AffiliationInfo><Affiliation>Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil, gulnar@ims.uerj.br.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jardim</LastName><ForeName>Beatriz Cordeiro</ForeName><Initials>BC</Initials><AffiliationInfo><Affiliation>Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil, gulnar@ims.uerj.br.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Santos</LastName><ForeName>Cleber Vinicius Brito Dos</ForeName><Initials>CVBD</Initials><AffiliationInfo><Affiliation>Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil, gulnar@ims.uerj.br.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><Language>por</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>Excesso de mortalidade no Brasil em tempos de COVID-19.</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="D002947" MajorTopicYN="N" Type="Geographic">Cities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012042" MajorTopicYN="N">Registries</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012737" MajorTopicYN="N">Sex Factors</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>07</Month><Day>03</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>07</Month><Day>03</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">32876246</ArticleId><ArticleId IdType="pii">S1413-81232020000903345</ArticleId><ArticleId IdType="doi">10.1590/1413-81232020259.23642020</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Brésil</li></country></list><tree><country name="Brésil"><noRegion><name sortKey="Silva, Gulnar Azevedo E" sort="Silva, Gulnar Azevedo E" uniqKey="Silva G" first="Gulnar Azevedo E" last="Silva">Gulnar Azevedo E. Silva</name></noRegion><name sortKey="Jardim, Beatriz Cordeiro" sort="Jardim, Beatriz Cordeiro" uniqKey="Jardim B" first="Beatriz Cordeiro" last="Jardim">Beatriz Cordeiro Jardim</name><name sortKey="Santos, Cleber Vinicius Brito Dos" sort="Santos, Cleber Vinicius Brito Dos" uniqKey="Santos C" first="Cleber Vinicius Brito Dos" last="Santos">Cleber Vinicius Brito Dos Santos</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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