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Tytuł:
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COVID-19 in socially vulnerable quilombola populations in Salvaterra, Pará, Eastern Amazon, Brazil.
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Autorzy:
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Veiga Gonçalves N; Laboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, Brazil. .
De Melo Neto JS; Health Sciences Institute, Federal University of Pará, Belém, Pará, Brazil.
Kazumi da Trindade Noguchi S; Laboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, Brazil.
Silva Machado A; Higher School for Amazon Studies, Belém, Pará, Brazil.
Da Silva Martins Junior A; Laboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, Brazil.
Da Silva Peixoto MC; Laboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, Brazil.
Lúcia Ribeiro Raithy A; Laboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, Brazil.
Maia Costa Faria C; Laboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, Brazil.
Carvalho Garcia Miranda Filgueiras T; Laboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, Brazil.
Baima Amaral Júnior A; Laboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, Brazil.
Do Socorro Carvalho Miranda C; Laboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, Brazil.
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Źródło:
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Journal of infection in developing countries [J Infect Dev Ctries] 2021 Aug 31; Vol. 15 (8), pp. 1066-1073. Date of Electronic Publication: 2021 Aug 31.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: [Italy?] : Open Learning on Enteric Pathogens
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MeSH Terms:
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Socioeconomic Factors*
COVID-19/*epidemiology
Public Health/*statistics & numerical data
Vulnerable Populations/*statistics & numerical data
Brazil/epidemiology ; Cross-Sectional Studies ; Female ; Humans ; Incidence ; Male ; Public Health/legislation & jurisprudence ; Qualitative Research ; Risk Factors ; Spatial Analysis
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Contributed Indexing:
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Keywords: COVID-19; Epidemiology; Quilombola; Social Vulnerability
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Entry Date(s):
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Date Created: 20210913 Date Completed: 20210921 Latest Revision: 20210921
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Update Code:
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20240105
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DOI:
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10.3855/jidc.14420
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PMID:
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34516412
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Introduction: COVID-19 is a severe respiratory syndrome caused by the SARS-CoV-2 virus. In Brazil the highest infection rates are associated with socially vulnerable populations. This study therefore sought to analyze the spatial distribution of the disease and its relation with geographic, socioeconomic and public health policy characteristics associated with quilombola communities in Salvaterra municipality, state of Pará, for the period of March to September, 2020.
Methodology: This cross-sectional and ecological study used data from the Disease Notification System and the National Registry of Health Establishments of the Ministry of Health, the Income Transfer Registry of the Ministry of Citizenship and the 2010 census of the Brazilian Institute of Geography and Statistics. Statistical and spatial analysis of the data was done through percentages of cases and Flow and Kernel map techniques.
Results: Seventy-five notified cases of COVID-19 distributed among 7 quilombola communities in the municipality were analyzed. The epidemiological profile followed a national trend, with a higher percentage of cases among persons who were female, adults with low schooling levels, working as family farmers and with an outcome ending in recovery. The spatial distribution of the disease was not homogenous and showed clusters of cases and high incidence rates, especially in communities close to the municipal seat or to highways.
Conclusions: The use of data analysis techniques was satisfactory for providing an understanding of the socioeconomic production of the disease in the areas studied. Accordingly, the need for intensifying epidemiological survey actions in the quilombola communities of the municipality is emphasized.
Competing Interests: No Conflict of Interest is declared
(Copyright (c) 2021 Nelson Veiga Goncalves, Joao Simao de Melo Neto, Selma Kazumi da Trindade Noguchi, Andrey Silva Machado, Alcindo da Silva Martins Junior, Maira Cibelle da Silva Peixoto, Alba Lucia Ribeiro Raithy, Camylle Maia Costa Faria, Tainara Carvalho Garcia Miranda Filgueiras, Alex Baima Amaral Junior, Claudia do Socorro Carvalho Miranda.)
