Mathematical modeling of two strains tuberculosis and COVID-19 vaccination model: a co-infection study with cost-effectiveness analysis

被引:3
|
作者
Appiah, Raymond Fosu [1 ]
Jin, Zhen [1 ]
Yang, Junyuan [1 ]
Asamoah, Joshua Kiddy K. [2 ,3 ]
Wen, Yuqi [4 ]
机构
[1] Shanxi Univ, Complex Syst Res Ctr, Taiyuan, Peoples R China
[2] Saveetha Sch Engn SIMATS, Dept Math, Chennai, India
[3] Kwame Nkrumah Univ Sci & Technol, Dept Math, Kumasi, Ghana
[4] Beijing Inst Technol, Sch Mat Sci & Engn, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
tuberculosis (TB); COVID-19; co-infection; optimal control; cost-effectiveness;
D O I
10.3389/fams.2024.1373565
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Tuberculosis and COVID-19 co-infection is currently the major issue of public health in many nations, including Ghana. Therefore, to explore the effects of the two Tuberculosis strains on COVID-19, we suggest a Tuberculosis and COVID-19 co-infection model. The study also provides the most economical and effective control methods to reduce the co-infection of tuberculosis and COVID-19. Based on the behavioral patterns of the two Tuberculosis strains and COVID-19 reproduction numbers, the stability of the co-infection model is examined. We explore the sensitivity of the parameters to examine the effect of the drug-resistant and drug-sensitive strain of Tuberculosis on the co-infection of COVID-19. We determine the most cost-effective and optimal treatment strategies that aim to maximize outcomes while minimizing tuberculosis and/or COVID-19 incidences, cost-effectiveness, and optimization approaches. The outcomes of this work contribute to a better understanding of Tuberculosis and COVID-19 epidemiology and provide insights into implementing interventions needed to minimize Tuberculosis and COVID-19 burden in similar settings worldwide.
引用
收藏
页数:24
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