Medicine and Health

Mathematical model of COVID-19 intervention scenarios for São Paulo—Brazil

O. P. Neto, D. M. Kennedy, et al.

Explore how a multi-objective genetic algorithm was utilized to optimize COVID-19 intervention strategies in São Paulo, Brazil. This research, conducted by Osmar Pinto Neto and colleagues, reveals the optimal approach to social distancing and protective measure adherence, shedding light on the dynamics of viral transmission.

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Abstract

This paper develops and analyzes an epidemiological compartmental model using multi-objective genetic algorithm design optimization to compare COVID-19 intervention scenarios in São Paulo, Brazil. The study examines the impact of strategy type, social distancing extent, time window, and personal protection levels on transmission dynamics. Results suggest a stepping-down reduction in social distancing every 80 days as the optimal strategy, contingent upon a 5–10% increase in adherence to protective guidelines.

Publisher

Nature Communications

Published On

Jan 18, 2021

Authors

Osmar Pinto Neto, Deanna M. Kennedy, José Clark Reis, Yiyu Wang, Ana Carolina Brisola Brizzi, Gustavo José Zambrano, Joabe Marcos de Souza, Wellington Pedroso, Rodrigo Cunha de Mello Pedreiro, Bruno de Matos Brizzi, Ellysson Oliveira Abinader, Renato Amaro Zângaro

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