Teklu Shewafera Wondimagegnhu, Workie Abushet Hayalu
Department of Mathematics, Natural and Computational Sciences, Debre Berhan University, Debre Berhan, Ethiopia.
Sci Rep. 2025 Feb 1;15(1):4004. doi: 10.1038/s41598-024-83442-z.
Hepatitis B virus (HBV) and HIV/AIDS co-infection is a common infectious disease that has been spreading through different nations in the world. The main objective of the study is to minimize the number of HBV and HIV co-infected individuals in the community and the cost incurred to the effort applied towards protection and treatment control strategies. In this study, a novel HBV and HIV/AIDS co-infection model has been formulated and analyzed to investigate the effects of protection and treatment control strategies on the spreading dynamics of the HBV and HIV/AIDS co-infection in the community. In the qualitative analyses we have computed all the models disease-free equilibrium points, all the models effective reproduction numbers and unique endemic equilibrium points, we have proved the two sub-models disease-free equilibrium points are locally as well as globally asymptotically stable whenever their associated effective reproduction numbers are less than one. In our understanding no one is formulated and analyzed the HBV and HIV/AIDS co-infection model with optimal control and cost-effective analyses so that we have formulated the associated optimal control problem and carried out the optimal control analysis on the HBV and HIV/AIDS co-infection model by implementing the Pontryagin's minimum principle. Numerical simulations with various combinations of the control efforts implemented are then carried out to investigate the impacts of protection and treatments to tackle the HBV and HIV/AIDS co-infection diseases spreading in the community. Finally, we also carried out cost-effectiveness analysis for the implemented control strategies. From the findings of the numerical simulations we observed that implementing all the proposed controlling strategies simultaneously has fundamental impact to minimize and control the HBV and HIV/AIDS co-infection spreading in the community but cost-effectiveness analysis proved that implemented strategy 4 (implemented the HIV protection and HBV treatment controls simultaneously) is the most cost-effective strategy as compared with all other implemented strategies and we recommend for the health stake holders and policy makers to implement this strategy to tackle the HBV and HIV/AIDS co-infection spreading problem in the community.
乙型肝炎病毒(HBV)与艾滋病毒/艾滋病合并感染是一种在世界各国传播的常见传染病。该研究的主要目标是尽量减少社区中HBV与艾滋病毒合并感染的个体数量,以及为保护和治疗控制策略所付出努力产生的成本。在本研究中,构建并分析了一个新型的HBV与艾滋病毒/艾滋病合并感染模型,以研究保护和治疗控制策略对社区中HBV与艾滋病毒/艾滋病合并感染传播动态的影响。在定性分析中,我们计算了所有模型的无病平衡点、所有模型的有效繁殖数和唯一的地方病平衡点,证明了两个子模型的无病平衡点在其相关有效繁殖数小于1时,局部和全局渐近稳定。据我们所知,此前没有人构建并分析过具有最优控制和成本效益分析的HBV与艾滋病毒/艾滋病合并感染模型,因此我们构建了相关的最优控制问题,并通过应用庞特里亚金最小值原理对HBV与艾滋病毒/艾滋病合并感染模型进行了最优控制分析。然后进行了各种控制措施组合的数值模拟,以研究保护和治疗措施对解决社区中HBV与艾滋病毒/艾滋病合并感染疾病传播的影响。最后,我们还对实施的控制策略进行了成本效益分析。从数值模拟结果中我们观察到,同时实施所有提出的控制策略对最小化和控制社区中HBV与艾滋病毒/艾滋病合并感染的传播具有根本性影响,但成本效益分析表明,与所有其他实施策略相比,实施策略4(同时实施艾滋病毒保护和HBV治疗控制)是最具成本效益的策略,我们建议卫生利益相关者和政策制定者实施该策略来解决社区中HBV与艾滋病毒/艾滋病合并感染的传播问题。