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Modeling Transmission Dynamics of Tuberculosis–HIV Co-Infection in South Africa
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. Appro...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594517/ https://www.ncbi.nlm.nih.gov/pubmed/37873885 http://dx.doi.org/10.3390/epidemiologia4040036 |
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author | Adeyemo, Simeon Sangotola, Adekunle Korosteleva, Olga |
author_facet | Adeyemo, Simeon Sangotola, Adekunle Korosteleva, Olga |
author_sort | Adeyemo, Simeon |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10594517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105945172023-10-25 Modeling Transmission Dynamics of Tuberculosis–HIV Co-Infection in South Africa Adeyemo, Simeon Sangotola, Adekunle Korosteleva, Olga Epidemiologia (Basel) Article 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. MDPI 2023-10-10 /pmc/articles/PMC10594517/ /pubmed/37873885 http://dx.doi.org/10.3390/epidemiologia4040036 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Adeyemo, Simeon Sangotola, Adekunle Korosteleva, Olga Modeling Transmission Dynamics of Tuberculosis–HIV Co-Infection in South Africa |
title | Modeling Transmission Dynamics of Tuberculosis–HIV Co-Infection in South Africa |
title_full | Modeling Transmission Dynamics of Tuberculosis–HIV Co-Infection in South Africa |
title_fullStr | Modeling Transmission Dynamics of Tuberculosis–HIV Co-Infection in South Africa |
title_full_unstemmed | Modeling Transmission Dynamics of Tuberculosis–HIV Co-Infection in South Africa |
title_short | Modeling Transmission Dynamics of Tuberculosis–HIV Co-Infection in South Africa |
title_sort | modeling transmission dynamics of tuberculosis–hiv co-infection in south africa |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594517/ https://www.ncbi.nlm.nih.gov/pubmed/37873885 http://dx.doi.org/10.3390/epidemiologia4040036 |
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