Physics and Astronomy Publications
Document Type
Article
Publication Date
2022
Journal
Materials Today: Proceedings
Volume
54
First Page
101
Last Page
112
URL with Digital Object Identifier
https://doi.org/10.1016/j.matpr.2021.11.480
Abstract
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Notes
This paper was originally published in Materials Today: Proceedings and is also available at https://doi.org/10.1016/j.matpr.2021.11.480