ArticleRevista da Sociedade Brasileira de Medicina Tropical2022
COVID-19 epidemic curve in Brazil: a sum of multiple epidemics, whose inequality and population density in the states are correlated with growth rate and daily acceleration. An ecological study.
Article in Revista da Sociedade Brasileira de Medicina Tropical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Population-based prevalence surveys during the Covid-19 pandemic: A systematic review.Reviews in medical virology · 2021Pooled it
- Evaluating information management system in epidemic infectious diseases in Iran.Scientific reports · 2024Article
- Stronger association of perceived health with socio-economic inequality during COVID-19 pandemic than pre-pandemic era.BMC public health · 2022Article
- Human Development Index Is Associated with COVID-19 Case Fatality Rate in Brazil: An Ecological Study.International journal of environmental research and public health · 2022Article
- The Volume-Time Curve by Three-Dimensional Echocardiography in Chagas Cardiomyopathy: Insights into the Mechanism of Hemodynamic Adaptations.Arquivos brasileiros de cardiologia · 2022Article
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8 authors.
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Abstract
backgroundThe epidemic curve has been obtained based on the 7-day moving average of the events. Although it facilitates the visualization of discrete variables, it does not allow the calculation of the absolute variation rate. Recently, we demonstrated that the polynomial interpolation method can be used to accurately calculate the daily acceleration of cases and deaths due to COVID-19. This study aimed to measure the diversity of epidemic curves and understand the importance of socioeconomic variables in the acceleration, pek cases, and deaths due to COVID-19 in Brazilian states.
methodsEpidemiological data for COVID-19 from federative units in Brazil were obtained from the Ministry of Health's website from February 25 to July 11, 2020. Socioeconomic data were obtained from the Instituto Brasileiro de Geografia e Estatística (https://www.ibge.gov.br/). Using the polynomial interpolation methods, daily cases, deaths and acceleration were calculated. Moreover, the correlation coefficient between the epidemic curve data and socioeconomic data was determined.
resultsThe combination of daily data and case acceleration determined that Brazilian states were in different stages of the epidemic. Maximum case acceleration, peak of cases, maximum death acceleration, and peak of deaths were associated with the Gini index of the gross domestic product of Brazilian states and population density but did not correlate with the per capita gross domestic product of Brazilian states.
conclusionsBrazilian states showed heterogeneous data curves. Population density and socioeconomic inequality were correlated with a more rapid exponential growth in new cases and deaths.
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