A time-series ecological study protocol to analyze trends of incidence, mortality, lethality of COVID-19 in Brazil

Luiz Carlos de Abreu*, Khalifa Elmusharaf, Carlos Eduardo Gomes Siqueira

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
41 Downloads (Pure)


Introduction: since the first case of COVID-19 was confirmed in February 2020, Brazil has reported more than 20 million cases and more than 600,000 deaths on October 31, 2021. The behavior of the pandemic was also different in the various states, from the less developed to the more developed, such as the state of São Paulo.

Objective: to describe step-by-step time series for analyzing trends in mortality, lethality and incidence of COVID-19 in Brazil.

Methods: a protocol for an ecological study of time series, covering the 26 states and the federal district (Brasilia).

Results: the descriptions have the potential to provide information for the government and society in decision-making about knowledge and conduct, clinical, epidemiological and research investments in health care services for the Brazilian people. It is focused on fully understanding the spread of SARS-COV-2 infection in the Brazilian territory and developing a database for public and universal access for comparative studies between countries and continents.

Conclusion: databases built from ecological studies are essential for a full understanding of the virus behavior, its transmissibility, lethality and mortality, and a repository for data collected and integrated from multiple sources. They are relevant tools for the search of information and decision-making in global health.

Original languageEnglish
Pages (from-to)491-495
Number of pages5
JournalJournal of Human Growth and Development
Issue number3
Early online date30 Nov 2021
Publication statusPublished - 1 Dec 2021

Bibliographical note

Funding Information:
Brazil and Ireland COVID-19 Observatory supported this work.

Publisher Copyright:
© The authors (2021).


  • Covid-19
  • Epidemiology
  • Indicators
  • Protocol
  • Time-series

ASJC Scopus subject areas

  • Life-span and Life-course Studies


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