Magani, J. K. and Ogundile, O. P. and Edeki, S.O. (2022) A numerical technique for solving infectious disease model. In: ICORTAR, 2022, Online.
![[img]](http://eprints.covenantuniversity.edu.ng/style/images/fileicons/application_pdf.png) |
PDF
Download (728kB) |
Abstract
In the medical aspect of life, there are multiple ways of formulating a model that can be used to determine if a disease will become a pandemic or an epidemic. In this research, we discussed how we could use the numerical approach by applying the revised SEQI I RF u d (Susceptible, Exposed, Quarantined, Infected undetected, Infected detected, Recovered, and Failed) model to control or contain an infectious disease (COVID-19) by applying the effective contact rate. MATLAB software was used to solve the SEQI I RF u d model by considering population growth, mortality rate, infection rate, disease-induced death, failed treatment rate, and recovery rate, which gave pictographic diagrams of the increase and decrease of the infectious disease in the community.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Mathematics |
| Depositing User: | Mrs Patricia Nwokealisi |
| Date Deposited: | 03 Jun 2022 12:49 |
| Last Modified: | 03 Jun 2022 12:49 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/15941 |
Actions (login required)
 |
View Item |
