| dc.contributor.author | Nyerere, Nkuba | |
| dc.contributor.author | Luboobi, Livingstone | |
| dc.contributor.author | Mpeshe, Saul | |
| dc.contributor.author | Shirima, Gabriel | |
| dc.date.accessioned | 2021-09-23T12:41:54Z | |
| dc.date.available | 2021-09-23T12:41:54Z | |
| dc.date.issued | 2020-10-17 | |
| dc.identifier.uri | https://doi.org/10.1155/2020/8972063 | |
| dc.identifier.uri | https://dspace.nm-aist.ac.tz/handle/20.500.12479/1336 | |
| dc.description | This research article published by Hindawi, 2020 | en_US |
| dc.description.abstract | A deterministic mathematical model for brucellosis that incorporates seasonality on direct and indirect transmission parameters for domestic ruminants, wild animals, humans, and the environment was formulated and analyzed in this paper. Both analytical and numerical simulations are presented. From this study, the findings show that variations in seasonal weather have the great impact on the transmission dynamics of brucellosis in humans, livestock, and wild animals. Thus, in order for the disease to be controlled or eliminated, measures should be timely implemented upon the fluctuation in the transmission of the disease. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Hindawi | en_US |
| dc.subject | Research Subject Categories::TECHNOLOGY | en_US |
| dc.title | Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis | en_US |
| dc.type | Article | en_US |
