Department of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.
Department of Basic Sciences, University of Health and Allied Sciences, Ho, Ghana.
Comput Math Methods Med. 2021 Jul 27;2021:5593864. doi: 10.1155/2021/5593864. eCollection 2021.
A deterministic model was formulated and employed in the analysis of the dynamics of tuberculosis with a keen emphasis on vaccination and drug resistance as the first line of treatment. It was assumed that some of the susceptible population were vaccinated but with temporal immunity. This is due to the fact that vaccines do not confer permanent immunity. Moreover, part of the infected individual after treatment grows resistance to the drug. Infective immigrants were also considered to be part of the population. The basic reproductive number for the model is estimated using the next-generation matrix method. The equilibrium points of the TB model and their local and global stability were determined. It was established that if the basic reproductive number was less than unity ( < 1), then the disease free equilibrium is stable and unstable if > 1. Furthermore, we investigated the optimal prevention, treatment, and vaccination as control measures for the disease. As the objective functional was optimised, there have been a significant reduction in the number of infections and an increase in the number of recovery. The best control measure in combating tuberculosis infections is prevention and vaccination of the susceptible population.
建立了一个确定性模型,并将其应用于结核病动力学的分析,重点关注疫苗接种和耐药性作为一线治疗方法。假设部分易感人群接种了疫苗,但具有暂时的免疫力。这是因为疫苗不能提供永久的免疫力。此外,部分治疗后的感染者对药物产生了耐药性。感染性移民也被认为是人群的一部分。使用下一代矩阵方法估计模型的基本繁殖数。确定了 TB 模型的平衡点及其局部和全局稳定性。结果表明,如果基本繁殖数小于 1( < 1),则无病平衡点是稳定的,如果 > 1,则是不稳定的。此外,我们还研究了最优预防、治疗和疫苗接种作为疾病的控制措施。随着目标函数的优化,感染人数显著减少,康复人数增加。预防和接种易感人群是防治结核病感染的最佳控制措施。