2021
DOI: 10.5540/tcam.2021.022.04.00595
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Mathematical Modeling to Perform an Analysis of Social Isolation Periods in the Dissemination of COVID-19

Abstract: The outbreak of COVID-19 has made scientists from all over the world do not measureefforts to understand the dynamics of the disease caused by this coronavirus. Several mathematical models have been proposed to describe the dynamics and make predictions. This work proposes a mathematical model that includes social isolation of susceptible individuals as a strategy of suppression and mitigation of the disease. The Susceptible-Infectious-Isolated-Recovered-Dead (SIQRD) model is proposed to analyze three importan… Show more

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Cited by 2 publications
(2 citation statements)
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“…Several mathematical models have been proposed in order to describe the dynamics of COVID-19 pandemic. In [7], a mathematical model that includes social isolation of susceptible individuals is proposed, when no vaccine was available. Results show that beginning social isolation, and with 70% of the population in isolation, seems to be promising.…”
Section: Highlightsmentioning
confidence: 99%
“…Several mathematical models have been proposed in order to describe the dynamics of COVID-19 pandemic. In [7], a mathematical model that includes social isolation of susceptible individuals is proposed, when no vaccine was available. Results show that beginning social isolation, and with 70% of the population in isolation, seems to be promising.…”
Section: Highlightsmentioning
confidence: 99%
“…There are several epidemic models for COVID-19, such as the SIR epidemic model and the SIQRD epidemic model. Based on the current state of COVID-19, the susceptible group will become an infectious group when it has been infected with the virus through direct contact with COVID-19 patients [8]- [10]. If someone is infected or infectious, the patient will quarantine either independently or under the supervision of medical personnel.…”
Section: Introductionmentioning
confidence: 99%