A mathematical model of COVID-19 transmission.

Autor: Jayatilaka R; Department of Physics and Astronomy, University of Western Ontario, 1151 Richmond Street, London N6A 3K7, Canada., Patel R; Department of Physics and Astronomy, University of Western Ontario, 1151 Richmond Street, London N6A 3K7, Canada., Brar M; Department of Physics and Astronomy, University of Western Ontario, 1151 Richmond Street, London N6A 3K7, Canada., Tang Y; Department of Physics and Astronomy, University of Western Ontario, 1151 Richmond Street, London N6A 3K7, Canada., Jisrawi NM; Department of Physics and Astronomy, University of Western Ontario, 1151 Richmond Street, London N6A 3K7, Canada.; Mathematics Department, King's University College, University of Western Ontario (UWO), 266 Epworth Avenue, London N6A 2M3, Canada., Chishtie F; Department of Applied Mathematics, University of Western Ontario, Canada., Drozd J; Mathematics Department, Huron University College, UWO, London N6G 1H3, Canada., Valluri SR; Department of Physics and Astronomy, University of Western Ontario, 1151 Richmond Street, London N6A 3K7, Canada.; Mathematics Department, King's University College, University of Western Ontario (UWO), 266 Epworth Avenue, London N6A 2M3, Canada.
Jazyk: angličtina
Zdroj: Materials today. Proceedings [Mater Today Proc] 2022; Vol. 54, pp. 101-112. Date of Electronic Publication: 2021 Dec 04.
DOI: 10.1016/j.matpr.2021.11.480
Abstrakt: Disease transmission is studied through disciplines like epidemiology, applied mathematics, and statistics. Mathematical simulation models for transmission have implications in solving public and personal health challenges. The SIR model uses a compartmental approach including dynamic and nonlinear behavior of transmission through three factors: susceptible, infected, and removed (recovered and deceased) individuals. Using the Lambert W Function, we propose a framework to study solutions of the SIR model. This demonstrates the applications of COVID-19 transmission data to model the spread of a real-world disease. Different models of disease including the SIR, SIRmp and SEIRρqr model are compared with respect to their ability to predict disease spread. Physical distancing impacts and personal protection equipment use are discussed with relevance to the COVID-19 spread.
Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conferences & Exhibition on Nanotechnologies, Organic Electronics & Nanomedicine ? NANOTEXNOLOGY 2020.)
Databáze: MEDLINE
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