The territorialization of Severe Acute Respiratory Syndrome and its socioeconomic, demographic and public health policy risk factors in Belém, state of Pará, Eastern Amazon, Brazil: a cross-sectional and ecological study

Severe Acute Respiratory Syndrome is an important public health problem in Brazil due to the large number of cases. It has a high mortality rate related to risk factors that include systemic arterial hypertension, type 2 diabetes mellitus, male gender and advanced age. This cross-sectional and ecological study analyzed the spatial distribution of this disease related to the evolution of COVID-19 cases and their epidemiological, demographic, socioeconomic and public health policy conditions in the administrative districts of Belém, state of Pará, in the eastern Brazilian Amazon, from 2021 to 2023. Data from the Ministry of Health, the National Institute for Space Research and the Brazilian Institute of Geography and Statistics were used. The statistical and spatial analysis of the data used the chi-square test of equal expected proportions with a significance level of 0.05% and the techniques of ordinary multivariate linear regression and percentiles, with the results expressed by means of choropleth maps, using the Bioestat 5.4 and Arcgis 10.5.1 software. The epidemiological profile analyzed 3,511 cases, following the national pattern with statistical significance. The pathology was not distributed homogeneously in spatial terms and was associated with a territorial and socioeconomic segregation of the population in the neighborhoods and their administrative districts, with great differences in their demographic characteristics, living conditions and public services for treating the disease, especially when we consider the relationship between the outskirts and the center of the municipality. This has revealed unequal development, which has produced health inequalities in the study area. With that in mind, we emphasize the urgency of expanding these services in the places identified as most vulnerable, with a view to equal care access for the disease.

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Publication Details

Journal
PLoS ONE
Published
2025-03-12
DOI
https://doi.org/10.1371/journal.pone.0318607
Citations
4
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
5.47
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article

The territorialization of Severe Acute Respiratory Syndrome and its socioeconomic, demographic and public health policy risk factors in Belém, state of Pará, Eastern Amazon, Brazil: a cross-sectional and ecological study

Thayse Moraes de Moraes, Tainara Carvalho Garcia Miranda Filgueiras, Anita Guazzelli Bernardes, Cláudia do Socorro Carvalho Miranda et al.
4 citations
PLoS ONE
COVID-19 epidemiological studies
5.47
article

The territorialization of Severe Acute Respiratory Syndrome and its socioeconomic, demographic and public health policy risk factors in Belém, state of Pará, Eastern Amazon, Brazil: a cross-sectional and ecological study

Thayse Moraes de Moraes, Tainara Carvalho Garcia Miranda Filgueiras, Anita Guazzelli Bernardes, Cláudia do Socorro Carvalho Miranda, Taiana Moita Koury Alves, Bruno Yudi Shimomaebara Sousa, Nelson Veiga Gonçalves, Silvana Rossy de Brito, Matheus Pereira do Couto Rocha, Renan Faria Cardoso, Heloísa Maria Melo e Silva Guimarães, Alessandra Lima Leal
article en
4 citations

Abstract

Severe Acute Respiratory Syndrome is an important public health problem in Brazil due to the large number of cases. It has a high mortality rate related to risk factors that include systemic arterial hypertension, type 2 diabetes mellitus, male gender and advanced age. This cross-sectional and ecological study analyzed the spatial distribution of this disease related to the evolution of COVID-19 cases and their epidemiological, demographic, socioeconomic and public health policy conditions in the administrative districts of Belém, state of Pará, in the eastern Brazilian Amazon, from 2021 to 2023. Data from the Ministry of Health, the National Institute for Space Research and the Brazilian Institute of Geography and Statistics were used. The statistical and spatial analysis of the data used the chi-square test of equal expected proportions with a significance level of 0.05% and the techniques of ordinary multivariate linear regression and percentiles, with the results expressed by means of choropleth maps, using the Bioestat 5.4 and Arcgis 10.5.1 software. The epidemiological profile analyzed 3,511 cases, following the national pattern with statistical significance. The pathology was not distributed homogeneously in spatial terms and was associated with a territorial and socioeconomic segregation of the population in the neighborhoods and their administrative districts, with great differences in their demographic characteristics, living conditions and public services for treating the disease, especially when we consider the relationship between the outskirts and the center of the municipality. This has revealed unequal development, which has produced health inequalities in the study area. With that in mind, we emphasize the urgency of expanding these services in the places identified as most vulnerable, with a view to equal care access for the disease.

PLoS ONEVol. 20(3)
Universidade do Estado do Pará (BR), Universidade Federal Rural da Amazônia (BR), Amazon Research Foundation (BR), Centro Universitário do Pará (BR), Universidade Federal do Pará (BR)
Good health and well-being
Openalex Percentile: Top 5%
COVID-19 epidemiological studies
5.47
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