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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/4365F5S
Repositóriosid.inpe.br/mtc-m21c/2020/08.28.12.58   (acesso restrito)
Última Atualização2020:08.28.12.58.58 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/08.28.12.58.58
Última Atualização dos Metadados2022:01.04.01.35.19 (UTC) administrator
DOI10.2196/21413
ISSN1439-4456
Chave de CitaçãoSilvaASTGCSVCCF:2020:AnDaGo
TítuloCOVID-19 mortality underreporting in Brazil: analysis of data from government internet portals
Ano2020
MêsAug.
Data de Acesso08 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho591 KiB
2. Contextualização
Autor 1 Silva, Lena Veiga e
 2 Abi Harb, Maria da Penha de Andrade
 3 Santos, Aurea Milene Teixeira Barbosa dos
 4 Teixeira, Carlos André de Mattos
 5 Gomes, Vitor Hugo Macedo
 6 Cardoso, Evelin Helena Silva
 7 Silva, Marcelino S. da
 8 Vijaykumar, Nandamudi Lankalapalli
 9 Carvalho, Solon Venâncio de
10 Carvalho, André Ponce de Leon Ferreira de
11 Frances, Carlos Renato Lisboa
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7
 8 8JMKD3MGP5W/3C9JHTU
 9 8JMKD3MGP5W/3C9JJ99
ORCID 1 0000-0001-6286-2130
 2 0000-0002-1873-143X
 3 0000-0002-8992-3412
 4 0000-0003-1902-4347
 5 0000-0002-0530-3225
 6 0000-0001-6569-4638
 7 0000-0001-7504-7434
 8 0000-0002-9025-0841
 9 0000-0001-6319-2511
10 0000-0002-4765-6459
11 0000-0003-0305-7662
Grupo 1
 2
 3
 4
 5
 6
 7
 8 LABAC-COCTE-INPE-MCTIC-GOV-BR
 9 LABAC-COCTE-INPE-MCTIC-GOV-BR
Afiliação 1 Universidade Federal do Pará (UFPA)
 2 Universidade Federal do Pará (UFPA)
 3 Universidade Federal do Pará (UFPA)
 4 Universidade Federal do Pará (UFPA)
 5 Universidade Federal do Pará (UFPA)
 6 Universidade Federal do Pará (UFPA)
 7 Universidade Federal do Pará (UFPA)
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Universidade de São Paulo (USP)
11 Universidade Federal do Pará (UFPA)
Endereço de e-Mail do Autor 1 lenaveiga@gmail.com
 2
 3
 4
 5
 6
 7
 8 nl.vijay@inpe.br
 9 solon.carvalho@inpe.br
RevistaJournal of Medical Internet Research
Volume22
Número8
Páginase21413
Histórico (UTC)2020-08-28 13:01:19 :: simone -> administrator :: 2020
2022-01-04 01:35:19 :: administrator -> simone :: 2020
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveBrazil
COVID-19
mortality
underreporting
respiratory system diseases
public health
pandemic
time series
forecasting
ResumoBACKGROUND: In Brazil, a substantial number of coronavirus disease (COVID-19) cases and deaths have been reported. It has become the second most affected country worldwide, as of June 9, 2020. Official Brazilian government sources present contradictory data on the impact of the disease; thus, it is possible that the actual number of infected individuals and deaths in Brazil is far larger than those officially reported. It is very likely that the actual spread of the disease has been underestimated. OBJECTIVE: This study investigates the underreporting of cases and deaths related to COVID-19 in the most affected cities in Brazil, based on public data available from official Brazilian government internet portals, to identify the actual impact of the pandemic. METHODS: We used data from historical deaths due to respiratory problems and other natural causes from two public portals: DATASUS (Department of Informatics of the Unified Healthcare System) (2010-2018) and the Brazilian Transparency Portal of Civil Registry (2019-2020). These data were used to build time-series models (modular regressions) to predict the expected mortality patterns for 2020. The forecasts were used to estimate the possible number of deaths that were incorrectly registered during the pandemic and posted on government internet portals in the most affected cities in the country. RESULTS: Our model found a significant difference between the real and expected values. The number of deaths due to severe acute respiratory syndrome (SARS) was considerably higher in all cities, with increases between 493% and 5820%. This sudden increase may be associated with errors in reporting. An average underreporting of 40.68% (range 25.9%-62.7%) is estimated for COVID-19-related deaths. CONCLUSIONS: The significant rates of underreporting of deaths analyzed in our study demonstrate that officially released numbers are much lower than actual numbers, making it impossible for the authorities to implement a more effective pandemic response. Based on analyses carried out using different fatality rates, it can be inferred that Brazil's epidemic is worsening, and the actual number of infectees could already be between 1 to 5.4 million.
ÁreaCOMP
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > COVID-19 mortality underreporting...
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvosilva_covid.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ESGTTP
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.15.00.34 1
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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