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COMPARATIVE ANALYSIS OF COVID-19 MORTALITY IN BRAZIL, RIO DE JANEIRO, CAMPOS DOS GOYTACAZES, MACAE, CABO FRIO AND RIO DAS OSTRAS
Antonio C. C. Guimarães; Karla Santa Cruz Coelho; Kathleen Tereza da Cruz; Bárbara Soares de Oliveira Souza; Janimayri Forastieri de Almeida; Gustavo Fialho Coelho; Gabriella Ramos Lacerda Ferreira.
Affiliation
  • Antonio C. C. Guimarães; Universidade Federal do Rio de Janeiro
  • Karla Santa Cruz Coelho; Universidade Federal do Rio de Janeiro
  • Kathleen Tereza da Cruz; Universidade Federal do Rio de Janeiro
  • Bárbara Soares de Oliveira Souza; Universidade Federal do Rio de Janeiro
  • Janimayri Forastieri de Almeida; Universidade Federal do Rio de Janeiro
  • Gustavo Fialho Coelho; Universidade Federal do Rio de Janeiro
  • Gabriella Ramos Lacerda Ferreira; Universidade Federal Fluminense
Preprint in English | medRxiv | ID: ppmedrxiv-20196444
ABSTRACT

Objective:

To analyze quantitatively and comparatively the deaths by COVID-19 of the four largest municipalities in the North of Rio de Janeiro and Baixada Litoranea of Rio de Janeiro, within the national context.

Methods:

We used data from the Civil Registry and demographic information to elaborate a general picture of the pandemic up to the 31st epidemiological week in several aspects evolution, scope, age, sex, race and impact on other causes of death.

Results:

We characterized the evolution of the pandemic. We found an exponential dependence on the mortality rate by age and a higher lethality in the male population. We determined that COVID-19 represents an important fraction of the causes of death in 2020, being associated with a significant excess of deaths in relation to 2019 and also with the change in mortality patterns due to other causes.

Conclusion:

Mortality is an effective and powerful indicator for understanding the infection and its pandemic, and it must be taken into account during the construction of public policies to deal with it.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2020 Document type: Preprint
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