A COVID-19 SEIR model for people living with underlying medical conditions in Kenya
| dc.contributor.author | Iyaya CC Wanjala | |
| dc.contributor.author | George M Mocheche | |
| dc.contributor.author | Sitawa Wattanga | |
| dc.date.accessioned | 2024-11-19T08:44:40Z | |
| dc.date.available | 2024-11-19T08:44:40Z | |
| dc.date.issued | 2024-08-19 | |
| dc.description.abstract | In this study we propose a modified SEIR mathematical transmission model with a focus on Kenyans living with underlying medical conditions. The research will rely on reported data from the Kenya Government’s Ministry of Health to fit the model parameters. The next generation matrix approach is employed to ascertain the level of infection or the stability condition of infection based on the basic reproduction number R that the model will determine. Results obtained will give predictions on the impact of the disease on the impact on impact of the disease on this group of people which will inform government in relation to prioritization of vaccination and other mitigating measures on policy formulation. | |
| dc.identifier.uri | https://erepository.ouk.ac.ke/handle/123456789/1502 | |
| dc.publisher | nternational Journal of Statistics and Applied Mathematics | |
| dc.title | A COVID-19 SEIR model for people living with underlying medical conditions in Kenya |