Description and comparison of demographic characteristics and comorbidities in SARI from COVID-19, SARI from influenza, and the Brazilian general population.
Identifieur interne : 000004 ( Main/Corpus ); précédent : 000003; suivant : 000005Description and comparison of demographic characteristics and comorbidities in SARI from COVID-19, SARI from influenza, and the Brazilian general population.
Auteurs : Roberta Pereira Niquini ; Raquel Martins Lana ; Antonio Guilherme Pacheco ; Oswaldo Gonçalves Cruz ; Flávio Codeço Coelho ; Luiz Max Carvalho ; Daniel Antunes Maciel Villela ; Marcelo Ferreira Da Costa Gomes ; Leonardo Soares BastosSource :
- Cadernos de saude publica [ 1678-4464 ] ; 2020.
Abstract
The study aims to describe patients hospitalized for severe acute respiratory illness (SARI) due to COVID-19 (SARI-COVID) in Brazil according to demographic characteristics and comorbidities up to the 21st Epidemiological Week of 2020. The study aimed to compare these characteristics with those of patients hospitalized for SARI due to influenza in 2019/2020 (SARI-FLU) and with the Brazilian general population. The proportions of demographic characteristics, comorbidities, and pregnant and postpartum women among patients hospitalized for SARI-COVID and SARI-FLU were obtained from the SIVEP-Gripe database, and the estimates for the Brazilian population were obtained from the population projections performed by Brazilian Institute of Geography and Statistics, Information System on Live Birth data, and nationwide surveys. Compared to the Brazilian population, patients hospitalized for SARI-COVID showed a higher proportion of males, elderly individuals and those aged 40 to 59 years, comorbidities (diabetes mellitus, cardiovascular disease, chronic kidney disease, and chronic lung diseases), and pregnant/postpartum women. Compared to the general population, Brazilians hospitalized for SARI-FLU showed higher prevalence rates of ages 0 to 4 years or over 60 years, white race/color, comorbidities (diabetes, chronic kidney disease, asthma, and other chronic lung diseases), and pregnant/postpartum women. The data suggest that these groups are evolving to more serious forms of the disease, so that longitudinal studies are extremely relevant for investigating this hypothesis and supporting appropriate public health policies.
DOI: 10.1590/0102-311x00149420
PubMed: 32725087
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last="Pacheco">Antonio Guilherme Pacheco</name><affiliation><nlm:affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Cruz, Oswaldo Goncalves" sort="Cruz, Oswaldo Goncalves" uniqKey="Cruz O" first="Oswaldo Gonçalves" last="Cruz">Oswaldo Gonçalves Cruz</name><affiliation><nlm:affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Coelho, Flavio Codeco" sort="Coelho, Flavio Codeco" uniqKey="Coelho F" first="Flávio Codeço" last="Coelho">Flávio Codeço Coelho</name><affiliation><nlm:affiliation>Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Carvalho, Luiz Max" sort="Carvalho, Luiz Max" uniqKey="Carvalho L" first="Luiz Max" last="Carvalho">Luiz Max Carvalho</name><affiliation><nlm:affiliation>Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Villela, Daniel Antunes Maciel" sort="Villela, Daniel Antunes Maciel" uniqKey="Villela D" first="Daniel Antunes Maciel" last="Villela">Daniel Antunes Maciel Villela</name><affiliation><nlm:affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Gomes, Marcelo Ferreira Da Costa" sort="Gomes, Marcelo Ferreira Da Costa" uniqKey="Gomes M" first="Marcelo Ferreira Da Costa" last="Gomes">Marcelo Ferreira Da Costa Gomes</name><affiliation><nlm:affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Bastos, Leonardo Soares" sort="Bastos, Leonardo Soares" uniqKey="Bastos L" first="Leonardo Soares" last="Bastos">Leonardo Soares Bastos</name><affiliation><nlm:affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32725087</idno><idno type="pmid">32725087</idno><idno type="doi">10.1590/0102-311x00149420</idno><idno type="wicri:Area/Main/Corpus">000004</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000004</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Description and comparison of demographic characteristics and comorbidities in SARI from COVID-19, SARI from influenza, and the Brazilian general population.</title><author><name sortKey="Niquini, Roberta Pereira" sort="Niquini, Roberta Pereira" uniqKey="Niquini R" first="Roberta Pereira" last="Niquini">Roberta Pereira Niquini</name><affiliation><nlm:affiliation>Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Lana, Raquel Martins" sort="Lana, Raquel Martins" uniqKey="Lana R" first="Raquel Martins" last="Lana">Raquel Martins Lana</name><affiliation><nlm:affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Pacheco, Antonio Guilherme" sort="Pacheco, Antonio Guilherme" uniqKey="Pacheco A" first="Antonio Guilherme" last="Pacheco">Antonio Guilherme Pacheco</name><affiliation><nlm:affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Cruz, Oswaldo Goncalves" sort="Cruz, Oswaldo Goncalves" uniqKey="Cruz O" first="Oswaldo Gonçalves" last="Cruz">Oswaldo Gonçalves Cruz</name><affiliation><nlm:affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Coelho, Flavio Codeco" sort="Coelho, Flavio Codeco" uniqKey="Coelho F" first="Flávio Codeço" last="Coelho">Flávio Codeço Coelho</name><affiliation><nlm:affiliation>Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Carvalho, Luiz Max" sort="Carvalho, Luiz Max" uniqKey="Carvalho L" first="Luiz Max" last="Carvalho">Luiz Max Carvalho</name><affiliation><nlm:affiliation>Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Villela, Daniel Antunes Maciel" sort="Villela, Daniel Antunes Maciel" uniqKey="Villela D" first="Daniel Antunes Maciel" last="Villela">Daniel Antunes Maciel Villela</name><affiliation><nlm:affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Gomes, Marcelo Ferreira Da Costa" sort="Gomes, Marcelo Ferreira Da Costa" uniqKey="Gomes M" first="Marcelo Ferreira Da Costa" last="Gomes">Marcelo Ferreira Da Costa Gomes</name><affiliation><nlm:affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author><author><name sortKey="Bastos, Leonardo Soares" sort="Bastos, Leonardo Soares" uniqKey="Bastos L" first="Leonardo Soares" last="Bastos">Leonardo Soares Bastos</name><affiliation><nlm:affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Cadernos de saude publica</title><idno type="eISSN">1678-4464</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The study aims to describe patients hospitalized for severe acute respiratory illness (SARI) due to COVID-19 (SARI-COVID) in Brazil according to demographic characteristics and comorbidities up to the 21st Epidemiological Week of 2020. The study aimed to compare these characteristics with those of patients hospitalized for SARI due to influenza in 2019/2020 (SARI-FLU) and with the Brazilian general population. The proportions of demographic characteristics, comorbidities, and pregnant and postpartum women among patients hospitalized for SARI-COVID and SARI-FLU were obtained from the SIVEP-Gripe database, and the estimates for the Brazilian population were obtained from the population projections performed by Brazilian Institute of Geography and Statistics, Information System on Live Birth data, and nationwide surveys. Compared to the Brazilian population, patients hospitalized for SARI-COVID showed a higher proportion of males, elderly individuals and those aged 40 to 59 years, comorbidities (diabetes mellitus, cardiovascular disease, chronic kidney disease, and chronic lung diseases), and pregnant/postpartum women. Compared to the general population, Brazilians hospitalized for SARI-FLU showed higher prevalence rates of ages 0 to 4 years or over 60 years, white race/color, comorbidities (diabetes, chronic kidney disease, asthma, and other chronic lung diseases), and pregnant/postpartum women. The data suggest that these groups are evolving to more serious forms of the disease, so that longitudinal studies are extremely relevant for investigating this hypothesis and supporting appropriate public health policies.</div></front></TEI><pubmed><MedlineCitation Status="In-Data-Review" Owner="NLM"><PMID Version="1">32725087</PMID><DateRevised><Year>2020</Year><Month>07</Month><Day>30</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1678-4464</ISSN><JournalIssue CitedMedium="Internet"><Volume>36</Volume><Issue>7</Issue><PubDate><Year>2020</Year></PubDate></JournalIssue><Title>Cadernos de saude publica</Title><ISOAbbreviation>Cad Saude Publica</ISOAbbreviation></Journal><ArticleTitle>Description and comparison of demographic characteristics and comorbidities in SARI from COVID-19, SARI from influenza, and the Brazilian general population.</ArticleTitle><Pagination><MedlinePgn>e00149420</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0102-311X2020000705013</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1590/0102-311x00149420</ELocationID><Abstract><AbstractText>The study aims to describe patients hospitalized for severe acute respiratory illness (SARI) due to COVID-19 (SARI-COVID) in Brazil according to demographic characteristics and comorbidities up to the 21st Epidemiological Week of 2020. The study aimed to compare these characteristics with those of patients hospitalized for SARI due to influenza in 2019/2020 (SARI-FLU) and with the Brazilian general population. The proportions of demographic characteristics, comorbidities, and pregnant and postpartum women among patients hospitalized for SARI-COVID and SARI-FLU were obtained from the SIVEP-Gripe database, and the estimates for the Brazilian population were obtained from the population projections performed by Brazilian Institute of Geography and Statistics, Information System on Live Birth data, and nationwide surveys. Compared to the Brazilian population, patients hospitalized for SARI-COVID showed a higher proportion of males, elderly individuals and those aged 40 to 59 years, comorbidities (diabetes mellitus, cardiovascular disease, chronic kidney disease, and chronic lung diseases), and pregnant/postpartum women. Compared to the general population, Brazilians hospitalized for SARI-FLU showed higher prevalence rates of ages 0 to 4 years or over 60 years, white race/color, comorbidities (diabetes, chronic kidney disease, asthma, and other chronic lung diseases), and pregnant/postpartum women. The data suggest that these groups are evolving to more serious forms of the disease, so that longitudinal studies are extremely relevant for investigating this hypothesis and supporting appropriate public health policies.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Niquini</LastName><ForeName>Roberta Pereira</ForeName><Initials>RP</Initials><AffiliationInfo><Affiliation>Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro, Rio de Janeiro, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lana</LastName><ForeName>Raquel Martins</ForeName><Initials>RM</Initials><AffiliationInfo><Affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pacheco</LastName><ForeName>Antonio Guilherme</ForeName><Initials>AG</Initials><AffiliationInfo><Affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cruz</LastName><ForeName>Oswaldo Gonçalves</ForeName><Initials>OG</Initials><AffiliationInfo><Affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Coelho</LastName><ForeName>Flávio Codeço</ForeName><Initials>FC</Initials><AffiliationInfo><Affiliation>Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Carvalho</LastName><ForeName>Luiz Max</ForeName><Initials>LM</Initials><AffiliationInfo><Affiliation>Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Villela</LastName><ForeName>Daniel Antunes Maciel</ForeName><Initials>DAM</Initials><AffiliationInfo><Affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gomes</LastName><ForeName>Marcelo Ferreira da Costa</ForeName><Initials>MFDC</Initials><AffiliationInfo><Affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bastos</LastName><ForeName>Leonardo Soares</ForeName><Initials>LS</Initials><AffiliationInfo><Affiliation>Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><Language>por</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>SRAG por COVID-19 no Brasil: descrição e comparação de características demográficas e comorbidades com SRAG por influenza e com a população geral.</VernacularTitle><ArticleDate DateType="Electronic"><Year>2020</Year><Month>07</Month><Day>24</Day></ArticleDate></Article><MedlineJournalInfo><Country>Brazil</Country><MedlineTA>Cad Saude Publica</MedlineTA><NlmUniqueID>8901573</NlmUniqueID><ISSNLinking>0102-311X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>06</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>06</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>7</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>7</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>7</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32725087</ArticleId><ArticleId IdType="pii">S0102-311X2020000705013</ArticleId><ArticleId IdType="doi">10.1590/0102-311x00149420</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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