Modeling Transmission Dynamics of Tuberculosis-HIV Co-Infection in South Africa

被引:4
|
作者
Adeyemo, Simeon [1 ]
Sangotola, Adekunle [2 ]
Korosteleva, Olga [1 ]
机构
[1] Calif State Univ Long Beach, Dept Math & Stat, Long Beach, CA 90840 USA
[2] Bells Univ Technol, Dept Phys Sci, Ota 112212, Ogun, Nigeria
来源
EPIDEMIOLOGIA | 2023年 / 4卷 / 04期
关键词
tuberculosis; HIV; co-infection dynamics; mathematical modeling; South Africa; TB;
D O I
10.3390/epidemiologia4040036
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:408 / 419
页数:12
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