ArticleViruses2023
Temporal Analysis of COVID-19 Epidemiological Indicators in a Low-Income Brazilian Context: A Retrospective Analysis in Paraiba State.
Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Quantifying Epidemiological Risk Transitions of COVID-19 in the Brazilian State of Ceará (2020-2023): A Generalized Linear Modeling Approach.Epidemiologia (Basel, Switzerland) · 2026Article
- Evolution of COVID-19 in the State of São Paulo: Analysis of Incidence, Mortality and Lethality from 2020 to 2023.Epidemiologia (Basel, Switzerland) · 2025Article
- Article
- Analyzing the COVID-19 Transmission Dynamics in Acre, Brazil: An Ecological Study.Epidemiologia (Basel, Switzerland) · 2024Article
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Authors and funding
10 authors.
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Abstract
Northeast Brazil is a region with great international tourist potential. Among the states that make up this region, Paraíba stands out due to the presence of vulnerable groups and factors that contribute to adverse outcomes of COVID-19. Therefore, the aim of this study was to analyze the epidemiological data on the incidence, mortality, and case fatality of COVID-19 in Paraíba. An ecological, population-based study was performed, with data extracted from the Brazilian Ministry of Health database. All cases and deaths from COVID-19 from March 2020 to December 2022 were included. The time series was built by applying the Prais-Winsten regression model, and the daily percent change was calculated to analyze the trends. The highest case fatality of the entire period was in April 2020 (7.8%), but in March 2021, the state broke the dismal record of 1248 deaths and the highest mortality rate (30.5 deaths per 100,000 inhabitants). Stationary mortality and case fatality were better in 2022; however, in February 2022, the mortality rate was at levels similar to the same month of the previous year. These results illustrate that COVID-19 is evolving and needs to be constantly monitored.
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