Dynamics and Analysis of Chronic Brucellosis in Sheep
| dc.contributor.author | Lolika, Paride O. | |
| dc.contributor.author | Helikumi, Mlyashimbi | |
| dc.date.accessioned | 2025-08-12T09:11:40Z | |
| dc.date.available | 2025-08-12T09:11:40Z | |
| dc.date.issued | 2020-08-30 | |
| dc.description | This Journal Article was Published by Journal of Advances in Mathematics and Computer Science | |
| dc.description.abstract | We proposed and studied a new fractional-order model for the transmission dynamics of brucellosis with a special focus on the sheep-to-sheep transmission. Two control strategies namely; culling and vaccination rate are incorporated in the model. We computed the basic reproduction number R0 and we studied the global stability of disease-free and endemic equilibrium point in terms of basic reproduction number R0. We found that both the disease-free and endemic equilibrium points are globally stable whenever R0 < 1 and R0 > 1 respectively. In numerical simulations, we performed the sensitivity analysis of the model and expressed the relationship between model parameters and R0. We noted that, increase on the magnitude of model parameters with negative correlation coefficients would significantly reduce the spread of Brucellosis disease in the population. Moreover, model validation and parameter estimation for fractional-order and classical integer-order derivatives was carried out using real brucellosis for Egypt, 1999-2011. Overall, we noted that fractional-order model gave better prediction of brucellosis compared to classical integer-order model. Furthermore, we investigated the role of memory effects on the transmission of brucellosis in the population. We observe that, the memory effects have influence on the transmission of brucellosis in the community. In addition, we noted that the aforementioned control strategies have the potential to reduce the transmission of brucellosis in the population. In particular, we observed that whenever the culling and vaccination rate is greater than 40% and 50% respectively, the disease dies out in the population. | |
| dc.description.sponsorship | Mbeya University of Science and Technology | |
| dc.identifier.issn | 2456-9968 | |
| dc.identifier.uri | https://repository.must.ac.tz/handle/123456789/434 | |
| dc.language.iso | en | |
| dc.publisher | Journal of Advances in Mathematics and Computer Science | |
| dc.title | Dynamics and Analysis of Chronic Brucellosis in Sheep | |
| dc.type | Article |