Epidemiological characteristics of COVID-19 contamination in the state of Bahia

Authors

  • Aline Gonçalves Machado Universidade do Estado da Bahia
  • Mayara dos Santos Batista Universidade do Estado da Bahia
  • Marcio Costa de Souza Universidade do Estado da Bahia

DOI:

https://doi.org/10.17267/2317-3378rec.v10i1.3594

Keywords:

Coronavirus. Coronavirus Infections. Epidemiological study. Public Health.

Abstract

OBJECTIVE: to characterize the epidemiological profile of confirmed cases and deaths from COVID-19 in the state of Bahia. METHODS: descriptive and retrospective epidemiological study based on secondary data extracted from the Epidemiological Bulletin of the State of Bahia, presented in tabular form with absolute and relative numbers. RESULTS: It was identified that most of the confirmed cases are female individuals in an age range of 30 to 39 years. Regarding COVID-19 deaths, males ? 80 years old are the most affected, especially if one or more associated comorbidities are present. In terms of race and color, brown color ranks first in both confirmed cases and deaths. The municipalities most affected were those in the cities in the countryside. CONCLUSION: it is necessary to strengthen the measures to confront the pandemic of COVID-19 in the state of Bahia, in order to prevent the occurrence of new transmissions and, consequently, an increase in the number of cases and deaths from this disease.

Downloads

Download data is not yet available.

Author Biographies

  • Aline Gonçalves Machado, Universidade do Estado da Bahia
    Estudante de Enfermagem da Universidade do Estado da Bahia.
  • Mayara dos Santos Batista, Universidade do Estado da Bahia
    Estudante de Enfermagem da Universidade do Estado da Bahia.
  • Marcio Costa de Souza, Universidade do Estado da Bahia
    Professor assistente da Universidade do Estado da Bahia.

Published

04/13/2021

Issue

Section

Original Articles

How to Cite

1.
Machado AG, Batista M dos S, de Souza MC. Epidemiological characteristics of COVID-19 contamination in the state of Bahia. Rev Enf Contemp [Internet]. 2021 Apr. 13 [cited 2024 Nov. 24];10(1):103-10. Available from: https://www5.bahiana.edu.br/index.php/enfermagem/article/view/3594

Most read articles by the same author(s)

<< < 25 26 27 28 29 30 31 32 > >>