A mathematical model of COVID-19 transmission.
Mater Today Proc
; 54: 101-112, 2022.
Article
in English
| MEDLINE | ID: covidwho-1747697
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.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Prognostic study
Language:
English
Journal:
Mater Today Proc
Year:
2022
Document Type:
Article
Affiliation country:
J.matpr.2021.11.480
Similar
MEDLINE
...
LILACS
LIS