A Required Isolation Index to Support the Health System during the Pandemic of Covid-19 in Minas Gerais, Brazil

Alice Freitas Versiani, Rosa Gouvea de Sousa, Priscila Totarelli Monteforte, Jim Jones da Silveira Marciano, Erivelton Geraldo Nepomuceno, Thalita Emanuelle de Nazaré, Márcio Lacerda, Márcio Falcão Santos Barroso, Marcos Antônio Abdalla, Érika Lorena Fonseca Costa de Alvarenga, Nayara Chagas Silva, Adelmo Mendes da Silva

Research output: Contribution to journalArticlepeer-review

Abstract

This paper addresses the effect of isolation on the spread of Covid-19 in the State of Minas Gerais, Brazil. The compartmental model SEIR (Susceptible, Exposed, Infectious, Recovered) has been employed. The parameters of the model have been estimated with the help of optimization techniques based on evolutionary strategies. From the model obtained, this work evaluates the impacts of reducing the isolation in the peak of infected people. Results show that the isolation has reduced the peak in 94%, which has played a crucial role in avoiding the health system collapse up to now. Moreover, around 70% of isolation guarantees a good quality of health system service to deal with the pandemic of Covid-19 according to the number of intensive care units and considering a reproductive number equals to 3.60. This is an important result to be considered during easing physical distancing measures.

Original languageEnglish (US)
Pages (from-to)961-969
Number of pages9
JournalIEEE Latin America Transactions
Volume19
Issue number6
DOIs
StatePublished - Jun 1 2021
Externally publishedYes

Keywords

  • Compartmental models
  • Coronavirus
  • Covid-19
  • Mathematical epidemiology

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering

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