Proposal of a framework for improving multi-criteria decision-making related to epidemics using heterogeneous spatial data and evolutionary algorithms

Authors

DOI:

https://doi.org/10.33448/rsd-v12i2.39844

Keywords:

Decision-making; Spatio-Temporal data analysis; Evolutionary algorithm; Data fusion; Map visualization.

Abstract

The decision-making of complex problems, such as epidemics monitoring and control, involves multiple heterogeneous data and spatial and temporal aspects. Most problems cannot be reduced to one objective, characterized as multi-criteria decision-making (MCDM) problems. Adding temporal and spatial aspects further increases the complexity of addressing those problems. This paper proposed a framework that uses evolutionary algorithms and map algebra for addressing spatial and temporal multidimensional complex problems. It was evaluated in a case study of dengue and tuberculosis diseases in an urban environment, considering multi-resolution data and a genetic algorithm. Several analyses were conducted, generating maps and information essential to generate insights into the problem and a better understanding of the spatial relations between the variables. The framework and the code implemented could be applied to different problems, spatial resolutions, and objectives.

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Published

13/01/2023

How to Cite

LOPES, G. R. .; SILVA, R. F. da .; PELARIGO, K. J. .; YAMAMURA, M.; DELBEM, A. C. B. .; SCATOLINI, D.; GHIGLIENO, F.; SARAIVA, A. M. . Proposal of a framework for improving multi-criteria decision-making related to epidemics using heterogeneous spatial data and evolutionary algorithms. Research, Society and Development, [S. l.], v. 12, n. 2, p. e0212239844, 2023. DOI: 10.33448/rsd-v12i2.39844. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/39844. Acesso em: 23 nov. 2024.

Issue

Vol. 12 No. 2

Section

Exact and Earth Sciences

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Copyright (c) 2023 Gesiel Rios Lopes; Roberto Fray da Silva; Karina Jorge Pelarigo; Mellina Yamamura; Alexandre C. B. Delbem; Denise Scatolini; Filippo Ghiglieno; Antonio Mauro Saraiva

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