In this paper, we consider a modified SIR (susceptible-infected-recovered/removed) model that describes the evolution in time of the infectious disease caused by Sars-Cov-2 (Severe Acute Respiratory Syndrome-Coronavirus-2). We take into consideration that this disease can be both symptomatic and asymptomatic. By formulating a suitable mathematical model via a system of ordinary differential equations (ODEs), we investigate how the vaccination rate and the fraction of avoided contacts affect the population dynamics.
Primary Language | English |
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Subjects | Bioinformatics and Computational Biology, Applied Mathematics |
Journal Section | Research Articles |
Authors | |
Publication Date | December 30, 2021 |
Submission Date | October 13, 2021 |
Published in Issue | Year 2021 |