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ETHNOS_APP

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Eliezer M Diniz

Dados Biográficos

ID886677
NOMEEliezer M Diniz
PRENOMESEliezer M
SOBRENOMEDiniz
ASSINATURADINIZ E M
AFILIAÇÕESUniversidade Federal do Maranhão
ORCID0000-0002-6201-1771
VERIFICADOSim
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2021
ÍNDICE H1
  • Excess deaths from all causes and by Covid-19 in Brazil in 2020

    Open Access•Alcione Miranda Dos Santos, Bruno Feres De Souza et al.•ARTICLE•Revista de Saúde Pública•2021

    OBJECTIVE To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil. METHODS Data from the Mortality Information System were used. Expected deaths for 2020 were estimated from 2015 to 2019 data using a negative binomial log-linear model. RESULTS Excess deaths in Brazil in 2020 amounted to 13.7%, and the…

  • Delay in death reporting affects timely monitoring and modeling of the Covid-19 pandemic

    Open Access•Carolina Abreu De Carvalho, Vitória Abreu De Carvalho et al.•ARTICLE•Cadernos de Saude Publica•2021•Citada por: 1•Referências: 12

    This study describes the COVID-19 death reporting delay in the city of São Luís, Maranhão State, Brazil, and shows its impact on timely monitoring and modeling of the COVID-19 pandemic, while seeking to ascertain how nowcasting can improve death reporting delay. We analyzed COVID-19 death data reported daily in the Epidemiological Bulletin of the State Health Secretariat of Maranhão and calculated the reporting delay from March 23 to August 29, 2…

  • Delay in death reporting affects timely monitoring and modeling of the Covid-19 pandemic

    Open Access•Carolina Abreu De Carvalho, Vitória Abreu De Carvalho et al.•ARTICLE•Cadernos de Saude Publica•2021•Citada por: 1•Referências: 12

    This study describes the COVID-19 death reporting delay in the city of São Luís, Maranhão State, Brazil, and shows its impact on timely monitoring and modeling of the COVID-19 pandemic, while seeking to ascertain how nowcasting can improve death reporting delay. We analyzed COVID-19 death data reported daily in the Epidemiological Bulletin of the State Health Secretariat of Maranhão and calculated the reporting delay from March 23 to August 29, 2…

  • Excess deaths from all causes and by Covid-19 in Brazil in 2020

    Open Access•Alcione Miranda Dos Santos, Bruno Feres De Souza et al.•ARTICLE•Revista de Saúde Pública•2021

    OBJECTIVE To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil. METHODS Data from the Mortality Information System were used. Expected deaths for 2020 were estimated from 2015 to 2019 data using a negative binomial log-linear model. RESULTS Excess deaths in Brazil in 2020 amounted to 13.7%, and the…

  • Delay in death reporting affects timely monitoring and modeling of the Covid-19 pandemic

    Open Access•Carolina Abreu De Carvalho, Vitória Abreu De Carvalho et al.•ARTICLE•Cadernos de Saude Publica•2021•Citada por: 1•Referências: 12

    This study describes the COVID-19 death reporting delay in the city of São Luís, Maranhão State, Brazil, and shows its impact on timely monitoring and modeling of the COVID-19 pandemic, while seeking to ascertain how nowcasting can improve death reporting delay. We analyzed COVID-19 death data reported daily in the Epidemiological Bulletin of the State Health Secretariat of Maranhão and calculated the reporting delay from March 23 to August 29, 2…

Coronavirus disease 2019 (COVID-19) (2 obras) · COVID-19 and healthcare impacts (2 obras) · COVID-19 epidemiological studies (2 obras) · Disease (2 obras) · Epidemiology (2 obras) · Epidemiology (2 obras) · Medicine (2 obras) · Business (1 obras) · Cause of death (1 obras) · COVID-19 Clinical Research Studies (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae