The application of a stochastic model to monitor the evolution of Covid-19 in Macaé-RJ

Authors

DOI:

https://doi.org/10.5585/exactaep.2021.18982

Keywords:

Stochastic Models, Covid-19, Social Distancing

Abstract

Few stochastic models are available in the literature for use in case of scenario estimates considering Covid-19. The aim of this research is to present four scenarios involving deterministic modeling and stochastic modeling for decision making by municipal administrators regarding the occupation of ICU beds. Parameters in epidemiological models were achieved and, through a case study, a simulation was carried out to validate the data and estimate the results. As a contribution to the theory, the significant difference between the deterministic estimate and the stochastic estimate stands out. As a practical contribution, we highlight the use of stochastic modeling for decision making by the municipal manager considering the measures of social distancing. As a contribution to society, the importance of social isolation in the fight against covid-19 is highlighted, as well as the need to comply with the municipal decrees issued by the Municipality of Macaé.

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Author Biography

Ricardo França Santos, Universidade Federal do Rio de Janeiro (UFRJ) / Rio de Janeiro (RJ)

Coordenador do Curso de Engenharia de Produção - Engenharia - UFRJ, Macaé

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Published

2023-06-12

How to Cite

Santos, R. F. (2023). The application of a stochastic model to monitor the evolution of Covid-19 in Macaé-RJ. Exacta, 21(2), 455–478. https://doi.org/10.5585/exactaep.2021.18982

Issue

Vol. 21 No. 2 (2023): (abr./jun.)

Section

Papers

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