https://doi.org/10.4081/gh.2022.1000

Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology

Vol. 17 No. s1 (2022): Special issue on COVID-19
Submitted: 24 March 2021
Accepted: 8 July 2021
Published: 14 January 2022
COVID-19, multiple criteria, geographical information system, vulnerability analysis, Brazil.
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Authors

Ciro José Jardim de Figueiredo
ciro.figueiredo@ufersa.edu.br
https://orcid.org/0000-0002-0442-7939
Department of Engineering, Federal Rural University of the Semi-Arid, Angicos, RN, Brazil.
Caroline Maria de Miranda Mota
Department of Production Engineering, Federal University of Pernambuco, Recife, PE, Brazil.
Amanda Gadelha Ferreira Rosa
https://orcid.org/0000-0001-5466-8055
Department of Production Engineering, Federal University of Pernambuco, Recife, PE, Brazil.
Arthur Pimentel Gomes de Souza
Department of Production Engineering, Federal University of Pernambuco, Recife, PE, Brazil.
Simone Maria da Silva Lima
https://orcid.org/0000-0001-9404-8221
Department of Production Engineering, Federal University of Pernambuco, Recife, PE, Brazil.

The paper presents an innovative application to identify areas vulnerable to coronavirus disease 2019 (COVID-19) considering a combination of spatial analysis and a multi-criteria learning approach. We applied this methodology in the state of Pernambuco, Brazil identifying vulnerable areas by considering a set of determinants and risk factors for COVID-19, including demographic, economic and spatial characteristics and the number of human COVID-19 infections. Examining possible patterns over a set number of days taking the number of cases recorded, we arrived at a set of compatible decision rules to explain the relation between risk factors and COVID-19 cases. The results reveal why certain municipalities are critically vulnerable to COVID-19 highlighting locations for which knowledge can be gained about environmental factors.

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How to Cite

Figueiredo, C. J. J. de, Mota, C. M. de M., Rosa, A. G. F. ., Souza, A. P. G. de ., & Lima, S. M. da S. . (2022). Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology. Geospatial Health, 17(s1). https://doi.org/10.4081/gh.2022.1000
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