Adeyemo Simeon, Sangotola Adekunle, Korosteleva Olga
Department of Mathematics and Statistics, California State University, Long Beach, CA 90840, USA.
Department of Physical Sciences, Bells University of Technology, Ota 112212, Ogun, Nigeria.
Epidemiologia (Basel). 2023 Oct 10;4(4):408-419. doi: 10.3390/epidemiologia4040036.
South Africa has the highest number of people living with the human immunodeficiency virus (HIV) in the world, accounting for nearly one in five people living with HIV globally. As of 2021, 8 million people in South Africa were infected with HIV, which is 13% of the country's total population. Approximately 450,000 people in the country develop tuberculosis (TB) disease every year, and 270,000 of those are HIV positive. This suggests that being HIV positive significantly increases one's susceptibility to TB, accelerating the spread of the epidemic. To better understand the disease burden at the population level, a Susceptible-Infected-Recovered-Dead (SIRD) TB-HIV co-infection epidemic model is presented. Parameter values are estimated using the method of moments. The disease-free equilibrium and basic reproduction number of the model are also obtained. Finally, numeric simulations are carried out for a 30-year period to give insights into the transmission dynamics of the co-infection.
南非是世界上感染人类免疫缺陷病毒(HIV)人数最多的国家,全球每五个HIV感染者中就有近一人来自南非。截至2021年,南非有800万人感染了HIV,占该国总人口的13%。该国每年约有45万人患上结核病(TB),其中27万人为HIV阳性。这表明HIV阳性会显著增加感染结核病的易感性,加速疫情传播。为了更好地了解人群层面的疾病负担,本文提出了一种易感-感染-康复-死亡(SIRD)结核病-HIV合并感染流行模型。使用矩量法估计参数值。还得到了该模型的无病平衡点和基本再生数。最后,进行了为期30年的数值模拟,以深入了解合并感染的传播动态。