Correlação espacial: padrão heterogêneo de mortalidade por covid-19 no Brasil

This ecological study analyzed the spatial correlation between socioeconomic and demographic indicators and deaths due to COVID-19 in Brazil. The independent variables covered population, sex, age, race, literacy, and Gini index, while the dependent variable was COVID-19 mortality. Socioeconomic and demographic data were obtained from the Continuous National Household Sample Survey, and data on COVID-19 cases and deaths were obtained from the Ministry of Health website. The analysis included the calculation of univariate and bivariate Global Moran’s Indices. The results revealed a significant spatial correlation of the independent variables with COVID-19 mortality. A moderate positive correlation stands out for literate individuals aged 20 to 59 years. Therefore, there is an association between socioeconomic factors and COVID-19 mortality, with variations between Brazilian states. This conclusion highlights the need to implement intersectoral measures to ensure universal access to health and allocate resources equitably across states.

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Publication Details

Journal
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Published
2024-11-14
Primary Topic
Maternal and Neonatal Healthcare
Type
article
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article

Correlação espacial: padrão heterogêneo de mortalidade por covid-19 no Brasil

Helena Nayara Santos Pereira, Sílvia Carla da Silva André Uehara, Adriani Isabel de Souza Moraes, Ana Carolina da Silva Cascales CORRÊA
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Maternal and Neonatal Healthcare
article

Correlação espacial: padrão heterogêneo de mortalidade por covid-19 no Brasil

Helena Nayara Santos Pereira, Sílvia Carla da Silva André Uehara, Adriani Isabel de Souza Moraes, Ana Carolina da Silva Cascales CORRÊA
article en

Abstract

This ecological study analyzed the spatial correlation between socioeconomic and demographic indicators and deaths due to COVID-19 in Brazil. The independent variables covered population, sex, age, race, literacy, and Gini index, while the dependent variable was COVID-19 mortality. Socioeconomic and demographic data were obtained from the Continuous National Household Sample Survey, and data on COVID-19 cases and deaths were obtained from the Ministry of Health website. The analysis included the calculation of univariate and bivariate Global Moran’s Indices. The results revealed a significant spatial correlation of the independent variables with COVID-19 mortality. A moderate positive correlation stands out for literate individuals aged 20 to 59 years. Therefore, there is an association between socioeconomic factors and COVID-19 mortality, with variations between Brazilian states. This conclusion highlights the need to implement intersectoral measures to ensure universal access to health and allocate resources equitably across states.

LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Universidade Federal de São Carlos (BR)
Quality Education
Openalex Percentile: Top 30%
Maternal and Neonatal Healthcare
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