1 Degree in Medicine, University of Vale do Itajaí, Itajaí, SC, Brazil.
2 Master in Applied Computing, University of Vale do Itajaí, Itajaí, SC, Brazil.
3 Professional Master's Program in Health and Work Management, University of Vale do Itajaí, Itajaí, SC, Brazil.
4 Computer Science, University of Vale do Itajaí, Itajaí, SC, Brazil.
Research Article
World Journal of Advanced Research and Reviews, 2023, 18(01), 1208-1217
Received on 24 February 2023; revised on 23 April 2023; accepted on 26 April 2023
Background: This study aims at analyzing through the usage of computer models the relationship of variables such as the supply infrastructure, and socioeconomic and demographic contexts with the contagion and mortality rate by COVID-19 in Brazilian microregions.
Methods: It’s an analytical ecological study that covers the 5570 municipalities aggregated in the 558 microregions of the IBGE, Brazilian Institute of Geography and Statistics, in the year 2020, based on the mean and standard deviation. Geospatial computer models were applied for data visualization.
Results: Demonstrate that inequality and concentration of supply in some Brazilian regions, mainly in relation to the average household income per capita, Gross Domestic Product per capita, rate of Community Health Agents, Intensive Care Unit beds, Toilets, X-ray equipment and coverage by the Family Health Strategy, contributed to the fragility with which the country received COVID-19.
Conclusion: It was possible to identify how housing conditions, and income and service provision infrastructure are related to indicators of infection and mortality by COVID-19 in Brazil, as well as the spatial behavior of health and inequality indicators. It is important to consider that the pandemic was still ongoing by the time this study was conducted and that other values can be found.
Health information systems; Coronavirus infections; Family health strategy; Social differences; Mortality
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Guilherme Pasqual Fogaça, Arlene Leite dos Santos Spengler, Leonardo Pedro Salesse, Anita Maria da Rocha Fernandes, Rodrigo Lyra, Ricardo Heffel Farias and Graziela Liebel. A geospatial analysis of inequality indicators related to COVID-19 in Brazil. World Journal of Advanced Research and Reviews, 2023, 18(1), 1208-1217 . Article DOI: https://doi.org/10.30574/wjarr.2023.18.1.0542