TY - JOUR
T1 - Quantitative Assessment of a Dual Epidemic Caused by Tuberculosis and HIV in the Philippines
AU - Torres, Monica
AU - Tubay, Jerrold
AU - de losReyes, Aurelio
N1 - Funding Information:
The authors want to express their gratitude to the University of the Philippines Enhanced Creative Work and Research Grant (UP ECWRG) for funding this research. ADLRV acknowledges the support of the Institute of Mathematics, University of the Philippines Diliman and the Institute for Basic Science (IBS-R029-C3). JMT and MCT are grateful for the support of the Mathematics Division, Institute of Mathematics Sciences and Physics, University of the Philippines Los Baños.
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Society for Mathematical Biology.
PY - 2023/7
Y1 - 2023/7
N2 - Tuberculosis (TB) and human immunodeficiency virus (HIV) are the two major public health emergencies in the Philippines. The country is ranked fourth worldwide in TB incidence cases despite national efforts and initiatives to mitigate the disease. Concurrently, the Philippines has the fastest-growing HIV epidemic in Asia and the Pacific region. The TB-HIV dual epidemic forms a lethal combination enhancing each other’s progress, driving the deterioration of immune responses. In order to understand and describe the transmission dynamics and epidemiological patterns of the co-infection, a compartmental model for TB-HIV is developed. A class of people living with HIV (PLHIV) who did not know their HIV status is incorporated into the model. These unaware PLHIV who do not seek medical treatment are potential sources of new HIV infections that could significantly influence the disease transmission dynamics. Sensitivity analysis using the partial rank correlation coefficient is performed to assess model parameters that are influential to the output of interests. The model is calibrated using available Philippine data on TB, HIV, and TB-HIV. Parameters that are identified include TB and HIV transmission rates, progression rates from exposed to active TB, and from TB-latent with HIV to active infectious TB with HIV in the AIDS stage. Uncertainty analysis is performed to identify the degree of accuracy of the estimates. Simulations predict an alarming increase of 180% and 194% in new HIV and TB-HIV infections in 2025, respectively, relative to 2019 data. These projections underscore an ongoing health crisis in the Philippines that calls for a combined and collective effort by the government and the public to take action against the lethal combination of TB and HIV.
AB - Tuberculosis (TB) and human immunodeficiency virus (HIV) are the two major public health emergencies in the Philippines. The country is ranked fourth worldwide in TB incidence cases despite national efforts and initiatives to mitigate the disease. Concurrently, the Philippines has the fastest-growing HIV epidemic in Asia and the Pacific region. The TB-HIV dual epidemic forms a lethal combination enhancing each other’s progress, driving the deterioration of immune responses. In order to understand and describe the transmission dynamics and epidemiological patterns of the co-infection, a compartmental model for TB-HIV is developed. A class of people living with HIV (PLHIV) who did not know their HIV status is incorporated into the model. These unaware PLHIV who do not seek medical treatment are potential sources of new HIV infections that could significantly influence the disease transmission dynamics. Sensitivity analysis using the partial rank correlation coefficient is performed to assess model parameters that are influential to the output of interests. The model is calibrated using available Philippine data on TB, HIV, and TB-HIV. Parameters that are identified include TB and HIV transmission rates, progression rates from exposed to active TB, and from TB-latent with HIV to active infectious TB with HIV in the AIDS stage. Uncertainty analysis is performed to identify the degree of accuracy of the estimates. Simulations predict an alarming increase of 180% and 194% in new HIV and TB-HIV infections in 2025, respectively, relative to 2019 data. These projections underscore an ongoing health crisis in the Philippines that calls for a combined and collective effort by the government and the public to take action against the lethal combination of TB and HIV.
KW - Compartmental model
KW - HIV/AIDS
KW - TB-HIV/AIDS co-infection
KW - Tuberculosis
UR - http://www.scopus.com/inward/record.url?scp=85159759027&partnerID=8YFLogxK
U2 - 10.1007/s11538-023-01156-1
DO - 10.1007/s11538-023-01156-1
M3 - Article
C2 - 37211585
AN - SCOPUS:85159759027
SN - 0092-8240
VL - 85
JO - Bulletin of Mathematical Biology
JF - Bulletin of Mathematical Biology
IS - 7
M1 - 56
ER -