Health Analytics of HIV Burden, Transmission, and Treatment in the Philippines and ASEAN, 1990–2024: Comparative Evidence from Official UNAIDS-Based Estimates
DOI:
https://doi.org/10.65166/as9sy636Keywords:
HIV, health analytics, Philippines, ASEAN, HIV incidence, HIV prevalence, antiretroviral therapy coverage, UNAIDS estimatesAbstract
This study examined long-run HIV dynamics in the Philippines and ASEAN using official annual HIV indicator series from 1990 to 2024. Employing a quantitative longitudinal comparative design, the study drew on secondary data from World Bank HIV indicators sourced from UNAIDS estimates. The Philippines served as the anchor case, while ASEAN countries functioned as comparator units where sufficient annual observations were available. The analysis covered six core indicators: people living with HIV (PLHIV), new HIV infections, new HIV infection rate, HIV prevalence among adults aged 15–49 years, AIDS-related deaths, and antiretroviral therapy (ART) coverage. Because ART coverage had a shorter usable series, it was analyzed separately as a later-period treatment indicator. The official metadata identify the prevalence and incidence series as annual UNAIDS-based measures, with the prevalence series visibly spanning 1990–2024, while ART coverage is defined as the percentage of people living with HIV receiving antiretroviral therapy. Results showed a pronounced long-run escalation of the Philippine HIV profile. From 1990 to 2024, PLHIV increased from 200 to 220,000, new HIV infections from 100 to 30,000, new HIV infection rate from 0.01 to 0.48 per 1,000 uninfected population, HIV prevalence from 0.1% to 0.3%, and AIDS-related deaths from 100 to 2,300. ART coverage rose from 0% in 2000 to 40% in 2024. Phase-based analysis indicated that the strongest acceleration occurred during 2000–2010, when annualized growth reached 31.8% for PLHIV, 24.8% for new infections, 25.9% for incidence, and 17.5% for AIDS-related deaths. In the latest-year ASEAN comparison, the Philippines ranked first in both new HIV infections and new HIV infection rate, but only fifth in PLHIV, joint seventh in prevalence, and last in ART coverage among comparison countries. These findings indicate that the Philippine HIV situation is best interpreted not as the region’s highest-prevalence case, but as a transmission-intensive and treatment-weak case within ASEAN. The study concludes that incidence-centered monitoring, treatment expansion, and longitudinal health analytics are essential for understanding and responding to the country’s HIV trajectory.
Downloads
References
Abbasi, R., Shaikh, J., Ghafar, B., Zareen, R., Zafar, T., & Kumar, A. (2023). Retrospective study of the impact of antiretroviral therapy on HIV/AIDS mortality rates. Biological and Clinical Sciences Research Journal, 2023(1). https://doi.org/10.54112/bcsrj.v2023i1.369
Aber, R., Di, Y., & Dalziel, B. (2025). Time-series modeling of epidemics in complex populations: Detecting changes in incidence volatility over time. PLOS Computational Biology, *21*. https://doi.org/10.1101/2025.02.19.25322557
Aribe, S. G. C., Gerardo, B. D., & Medina, R. P. (2022). Time series forecasting of HIV/AIDS in the Philippines using deep learning: Does COVID-19 epidemic matter? International Journal of Emerging Trends in Engineering Research, 10(9), 519–525. https://doi.org/10.46338/ijetae0922_15
Astawesegn, F., Stulz, V., Conroy, E., & Mannan, H. (2022). Trends and effects of antiretroviral therapy coverage during pregnancy on mother-to-child transmission of HIV in Sub-Saharan Africa. Evidence from panel data analysis. BMC Infectious Diseases, 22(1), 134. https://doi.org/10.1186/s12879-022-07119-6
Atento, R. G. (2025). Exploring E-Learning for Sustainable Development: Integrating SDGs in Management Education at Philippine Higher Education Institutions. International Journal of Health & Business Analytics, 1(1). https://doi.org/10.65166/2qcjx561
Atento, R. G. (2026). Macroeconomic and structural determinants of formal business entry in ASEAN: Evidence from a linear mixed-effects model using World Development Indicators. Journal of Enterprise Strategy & Management Innovation, 1(1). https://doi.org/10.65166/bh0gx302
Atento, R. G., Quinto, L., Espelita, C. A. M., & Castaneda, C. (2025). Integrating Business and Health Analytics: A Conceptual Framework for Dual Outcomes in Healthcare. International Journal of Health & Business Analytics, 1(1). https://doi.org/10.65166/04pdc866
Bendal, A., Sabasa, S. A., Espelita, C. A. M. H., & Atento, R. G. O. (2026). Artificial intelligence as disruptive technology in accounting: A qualitative study of practitioner perceptions on automation, judgment, and decision support. Journal of Enterprise Strategy & Management Innovation, 1(1). https://doi.org/10.65166/0sdayg70
Boah, M., Yeboah, D., Kpordoxah, M., Issah, A., & Adokiya, M. (2023). Temporal trend analysis of the HIV/AIDS burden before and after the implementation of antiretroviral therapy at the population level from 1990 to 2020 in Ghana. BMC Public Health, 23(1), 1373. https://doi.org/10.1186/s12889-023-16321-3
Brown, T., Peerapatanapokin, W., Siripong, N., & Puckett, R. (2024). The AIDS Epidemic Model 2023 for estimating HIV trends and transmission dynamics in Asian epidemic settings. Journal of Acquired Immune Deficiency Syndromes, 95(1S), e13–e23. https://doi.org/10.1097/qai.0000000000003319
Bwogi, K., Lwanira, C., Kasamba, I., Baluku, J., Nakiwala, J., Ndagire, R., Nassolo, C., Wabomba, G., Bwanika, C., Nakawesi, J., Namayanja, G., Kabanda, J., Kalamya, J., Ssempiira, J., Ssenyimba, C., Mulebeke, R.,
Fitzmaurice, A., & Mukasa, B. (2025). Factors associated with mortality among people with advanced HIV disease in rural Uganda: A retrospective study. BMC Infectious Diseases, 25(1), 216. https://doi.org/10.1186/s12879-025-11397-1
Carter, A., Zhang, M., Tram, K., Walters, M., Jahagirdar, D., Brewer, E., ... &
Kyu, H. (2024). Global, regional, and national burden of HIV/AIDS, 1990–2021, and forecasts to 2050, for 204 countries and territories: The Global Burden of Disease Study 2021. The Lancet. HIV, 11(12), e807–e822. https://doi.org/10.1016/s2352-3018(24)00212-1
Chun, H., Dirlikov, E., Cox, M., Sherlock, M., Obeng-Aduasare, Y., Sato, K., Voetsch, A., Ater, A., Romano, E., Tomlinson, H., Modi, S., Achrekar, A., Nkengasong, J., Agolory, S., Amann, J., Baack, B., Behel, S., Date, A., Hanson, J., ... & Nyika, P. (2023). Vital Signs: Progress toward eliminating HIV as a global public health threat through scale-up of antiretroviral therapy and health system strengthening supported by the U.S. President’s Emergency Plan for AIDS Relief — Worldwide, 2004–2022. Morbidity and Mortality Weekly Report, 72(12), 317–324. https://doi.org/10.15585/mmwr.mm7212e1
Conan, N., Simons, E., Chihana, M., Ohler, L., FordKamara, E., Mbatha, M., van Cutsem, G., & Huerga, H. (2022). Increase in HIV viral suppression in KwaZulu-Natal, South Africa: Community-based cross sectional surveys 2018 and 2013. What remains to be done? PLoS ONE, 17(3), e0265488. https://doi.org/10.1371/journal.pone.0265488
Espelita, C. A. M. H., Atento, A. G. B., & Atento, R. G. O. (2026). Social media marketing and enrollment intent among college-bound learners: Evidence from a private higher education institution in Region IV-A, Philippines. Journal of Enterprise Strategy & Management Innovation, 1(1). https://doi.org/10.65166/bcn4pt87
Diop, M., & Kengne, W. (2021). Epidemic change-point detection in general causal time series. Statistics & Probability Letters. https://doi.org/10.1016/j.spl.2022.109416
Gangcuangco, L. M. A., & Eustaquio, P. C. (2023). The state of the HIV epidemic in the Philippines: Progress and challenges in 2023. Tropical Medicine and Infectious Disease, 8(5), 258. https://doi.org/10.3390/tropicalmed8050258
Ge, Z., Feng, Y., Zhang, H., Rashid, A., Zaongo, S., Li, K., Yu, Y., Lv, B., Sun, J., Liang, Y., Xing, H., Sönnerborg, A., & Shao, Y. (2021). HIV-1 CRF07_BC transmission dynamics in China: Two decades of national molecular surveillance. Emerging Microbes & Infections, *10*, 1919–1930. https://doi.org/10.1080/22221751.2021.1978822
Golubchik, T., Abeler-Dörner, L., Hall, M., Wymant, C., Bonsall, D., Macintyre-Cockett, G., ... & Fraser, C. (2025). HIV-phyloTSI: Subtype-independent estimation of time since HIV-1 infection for cross-sectional measures of population incidence using deep sequence data. BMC Bioinformatics, 26(1), Article 61. https://doi.org/10.1186/s12859-025-06189-y
Govender, R., Hashim, M., Khan, M., Mustafa, H., & Khan, G. (2021). Global epidemiology of HIV/AIDS: A resurgence in North America and Europe. Journal of Epidemiology and Global Health, 11(3), 296–301. https://doi.org/10.2991/jegh.k.210621.001
Hamilton, W., & Aliyu, S. (2025). The changing landscape of HIV epidemiology and management. Clinical Medicine, 25(2), 100520. https://doi.org/10.1016/j.clinme.2025.100520
Harvey, A., & Kattuman, P. (2021). A farewell to R: Time-series models for tracking and forecasting epidemics. Journal of the Royal Society Interface, *18*. https://doi.org/10.1098/rsif.2021.0179
He, Q., Ni, Y., Li, Y., Hu, X., Hu, X., Ni, Z., ... & Ni, M. (2025). Association between population viral load surrogate indicator and HIV transmission potential: A prospective cohort study in Xinjiang, China. BMC Public Health, 25(1), Article 481. https://doi.org/10.1186/s12889-025-21278-6
Joint United Nations Programme on HIV/AIDS. (2025). The Philippines. UNAIDS. [Note: The original reference entry cited "Funding cuts undermine community-led innovations in the Philippines" (July 21). Authors should verify whether the in-text claims about 3–4 infections per hour and a six-fold increase since 2010 come from this source or from the UNAIDS country page.]
King, J., McManus, H., Gray, R., Nigro, S., Sisnowski, J., Dobbins, T., ... & McGregor, S. (2024). Applying population‐specific incidence prevalence ratio benchmarks to monitor the Australian HIV epidemic: An epidemiological analysis. Journal of the International AIDS Society, 27(10), Article e26399. https://doi.org/10.1002/jia2.26399
Lai, H., Li, R., Li, Z., Zhang, B., Li, C., Song, C., Zhao, Q., Huang, J., Zhu, Q., Liang, S., Chen, H., Li, J., Liao, L., Shao, Y., Xing, H., Ruan, Y., Lan, G., Zhang, L., & Shen, M. (2023). Modelling the impact of treatment adherence on the transmission of HIV drug resistance. The Journal of Antimicrobial Chemotherapy, 78(8), 1935–1943. https://doi.org/10.1093/jac/dkad186
Li, J., Xie, D., Cui, H., Yue, C., Wang, Q., Luo, C., Tian, L., & Sheng, Z. (2024). Trends in the burden and determinants of HIV in the Asia-Pacific region (1990−2019): An age-period-cohort analysis of the 2019 Global Burden of Disease Study. Journal of Medical Virology, 96(5), Article e29724. https://doi.org/10.1002/jmv.29724
Liang, R., Chen, F., Tang, H., Wang, J., Zhao, D., Wang, J., Yu, J., Li, J., Yan, J., & Liu, Z. (2025). The impact of a comprehensive strategy on HIV treatment continuum in a highly endemic area of China: An interrupted time series analysis. BMC Infectious Diseases, *25*. https://doi.org/10.1186/s12879-025-10861-2
Liang, R., Chen, F., Zhao, Y., Wang, J., Zhao, D., Yu, J., Tang, H., Li, J., & Liu, Z. (2025). Impact of comprehensive strategy on mortality in heterosexually transmitted HIV-infected individuals - Liangshan Prefecture, Sichuan Province, China, 2008-2024. China CDC Weekly, 7(24), 843–850. https://doi.org/10.46234/ccdcw2025.138
Mekonnen, G., Mulatu, S., Legesse, B., Messelu, M., Baye, F., Tilaye, B., Fekadie, M., Demile, T., Belayneh, A., Mamo, S., Tsehay, Y., Adal, O., Haile, B.,
Munie, B., Amare, A., Belay, B., & Wondie, W. (2025). Incidence of mortality and its predictors among HIV-infected children receiving antiretroviral therapy in Amhara region: A multicenter retrospective follow-up study. Italian Journal of Pediatrics, 51(1), 71. https://doi.org/10.1186/s13052-025-01872-5
Mendes Muxlhanga, A., Nhacolo, A., Figueroa-Romero, A., Mazuze, M., Mayor, A., Valá, A., ... & Nhampossa, T. (2025). Over a decade of HIV infection prevalence and incidence among Mozambican pregnant women: A secondary analysis of prospectively collected data. BMC Public Health, 25(1), Article 584. https://doi.org/10.1186/s12889-025-21467-3
Momenyan, S. (2021). Joint analysis of longitudinal measurements and spatially clustered competing risks HIV/AIDS data. Statistics in Medicine, *40*, 6459–6477. https://doi.org/10.1002/sim.9193
Montegrico, P. J. B., Lee, J. R., & De Los Santos, J. P. (2024). A 13-year trend analysis of HIV epidemiology in the Philippines (2010 to 2022). Journal of Community Health Nursing, 41(4), 226–240. https://doi.org/10.1080/07370016.2024.2365146
Montegrico, P. J. B., Lee, J. R., Cutamora, J. C., & De Los Santos, J. P. (2025). HIV prevention interventions and research in the Philippines for high-risk populations: Proposals from a scoping review of contributing factors. Journal of the Association of Nurses in AIDS Care, 36(2), 186–202. https://doi.org/10.1097/JNC.0000000000000539
Moolla, H., Phillips, A., Brink, D., Mudimu, E., Stover, J., Bansi-Matharu, L., Martin-Hughes, R., Wulan, N., Cambiano, V., Smith, J., Bershteyn, A., Meyer-Rath, G., Jamieson, L., & Johnson, L. (2023). A quantitative assessment of the consistency of projections from five mathematical models of the HIV epidemic in South Africa: A model comparison study. BMC Public Health, *23*. https://doi.org/10.1186/s12889-023-16995-9
Negedu-Momoh, O., Balogun, O., Dafa, I., Etuk, A., Oladele, E., Adedokun, O., ... & Torpey, K. (2021). Estimating HIV incidence in the Akwa Ibom AIDS indicator survey (AKAIS), Nigeria using the limiting antigen avidity recency assay. Journal of the International AIDS Society, 24(6), Article e25669. https://doi.org/10.1002/jia2.25669
Novitsky, V., Steingrimsson, J., Howison, M., Dunn, C., Gillani, F., Manne, A., Li, Y., Spence, M., Parillo, Z., Fulton, J., Marak, T., Chan, P., Bertrand, T., Bandy, U., Alexander-Scott, N., Hogan, J., & Kantor, R. (2021). Longitudinal typing of molecular HIV clusters in a statewide epidemic. AIDS, *35*, 1711–1722. https://doi.org/10.1097/qad.0000000000002953
Ogunniran, M., & Oshatuyi, B. (2025). A scenario-based mathematical modeling of HIV control in Nigeria integrating superinfection, drug resistance, and future vaccine introduction. International Journal of Development Mathematics, 2(3), 107–118. https://doi.org/10.62054/ijdm/0203.11
Onovo, A., Adeyemi, A., Onime, D., Kalnoky, M., Kagniniwa, B., Dessie, M., Lee, L., Parrish, D., Adebobola, B., Ashefor, G., Ogorry, O., Goldstein, R., & Meri, H. (2023). Estimation of HIV prevalence and burden in Nigeria: A Bayesian predictive modelling study. eClinicalMedicine, *62*. https://doi.org/10.1016/j.eclinm.2023.102098
Quinto, L., & Atento, R. G. (2025). Economic Growth and Developmental Equity in Four ASEAN Economies: Linking Macroeconomic Trends to Employment and Child Nutrition (1999--2024). International Journal of Health & Business Analytics, 1(1). https://doi.org/10.65166/nq75nv94
Rosen, J., Muraleetharan, O., Walker, A., & Srivastava, M. (2023). Pediatric antiretroviral therapy coverage and AIDS deaths in the "Treat All" era. Pediatrics, 152(1), e2022059013. https://doi.org/10.1542/peds.2022-059013
Shakeel, N., & Shahid, H. (2025). Rising HIV cases in the Philippines in 2025 demand urgent global attention. Sexually Transmitted Infections, 101(1), 54. https://doi.org/10.1136/sextrans-2025-056693
Si, Y., Guo, L., Chen, S., Zhang, X., Dai, X., Wang, D., Liu, Y., Tran, B., Pronyk, P., & Tang, S. (2025). Progressing towards the 2030 health-related SDGs in ASEAN: A systematic analysis. PLOS Medicine, 22(1), Article e1004551. https://doi.org/10.1371/journal.pmed.1004551
Stevens, O., Anderson, R., Stover, J., Teng, Y., Stannah, J., Silhol, R., Jones, H., Booton, R., Martin-Hughes, R., Johnson, L., Maheu-Giroux, M., Mishra, S.,
Stone, J., Bershteyn, A., Kim, H., Sabin, K., Mitchell, K., Dimitrov, D., Baral, S., Donnell, D., Korenromp, E., Rice, B., Hargreaves, J., Vickerman, P., Boily, M., & Imai-Eaton, J. (2024). Comparison of empirically derived and model-based estimates of key population HIV incidence and the distribution of new infections by population group in sub-Saharan Africa. Journal of Acquired Immune Deficiency Syndromes, *95*, e46–e58. https://doi.org/10.1097/qai.0000000000003321
Stover, J., Glaubius, R., Teng, Y., Kelly, S., Brown, T., Hallett, T., Revill, P., Bärnighausen, T., Phillips, A., Fontaine, C., Frescura, L., Izazola-Licea, J., Semini, I., Godfrey-Faussett, P., De Lay, P., Benzaken, A., & Ghys, P. (2021). Modeling the epidemiological impact of the UNAIDS 2025 targets to end AIDS as a public health threat by 2030. PLoS Medicine, *18*. https://doi.org/10.1371/journal.pmed.1003831
Sun, X., Chen, H., Liang, S., Xiao, T., Zeng, Y., Liu, H., Feng, L., & Zhou, D. (2025). The effectiveness of antiretroviral therapy in mitigating new HIV infections in Southwest China: An ecological study. Infection and Drug Resistance, 18, 2943–2950. https://doi.org/10.2147/idr.s505706
Teeraananchai, S., Boettiger, D., Lertpiriyasuwat, C., Triamwichanon, R., Benjarattanaporn, P., & Phanuphak, N. (2025). The impact of same-day and rapid ART initiation under the Universal Health Coverage programme on HIV outcomes in Thailand: A retrospective real-life cohort study. Journal of the International AIDS Society, 28(2), e26406. https://doi.org/10.1002/jia2.26406
Thanh, D., Van, D., Tan, T., & Nguyen, V. (2024). Spatio-temporal graph learning with epidemiological factors for HIV epidemic short-term prediction. Journal of Computer Science and Cybernetics. https://doi.org/10.15625/1813-9663/21185
Tian, X., Chen, J., Wang, X., Xie, Y., Zhang, X., Han, D., ... & Wu, N. (2023). Global, regional, and national HIV/AIDS disease burden levels and trends in 1990–2019: A systematic analysis for the Global Burden of Disease 2019 study. Frontiers in Public Health, 11, Article 1068664. https://doi.org/10.3389/fpubh.2023.1068664
Torres, M. C., Tubay, J. M., & De los Reyes, A. A. (2023). Quantitative assessment of a dual epidemic caused by tuberculosis and HIV in the Philippines. Bulletin of Mathematical Biology, 85(7), Article 58. https://doi.org/10.1007/s11538-023-01156-1
Torres, T., Teixeira, S., Hoagland, B., Konda, K., Derrico, M., Moreira, R., ... & Eguiluz, M. (2023). Recent HIV infection and annualized HIV incidence rates among sexual and gender minorities in Brazil and Peru (ImPrEP seroincidence study): A cross-sectional, multicenter study. Lancet Regional Health - Americas, 28, Article 100642. https://doi.org/10.1016/j.lana.2023.100642
Van Beckhoven, D., Serrien, B., Demeester, R., Van Praet, J., Messiaen, P., Darcis, G., Henrard, S., De Munter, P., Libois, A., & Deblonde, J. (2025). Dual cross‐sectional and longitudinal perspective on the continuum of HIV care to disentangle natural epidemic evolution from real progress, Belgium 2014–2022. HIV Medicine, *26*, 1034–1045. https://doi.org/10.1111/hiv.70027
Van Griensven, F., De Lind Van Wijngaarden, J. W., Eustaquio, P. C., Wignall, S., Azwa, I., Veronese, V., Ferradini, L., Phanuphak, N., & Mills, S. (2021). The continuing HIV epidemic among men who have sex with men and transgender women in the ASEAN region: Implications for HIV policy and service programming. Sexual Health, 18(1), 21–30. https://doi.org/10.1071/sh20134
Van Schalkwyk, C., Mahy, M., Johnson, L., & Imai-Eaton, J. (2024). Updated data and methods for the 2023 UNAIDS HIV estimates. Journal of Acquired Immune Deficiency Syndromes, *95*, e1–e4. https://doi.org/10.1097/qai.0000000000003344
World Bank. (2025a). Prevalence of HIV, total (% of population ages 15–49). World Bank Data.
World Bank. (2025b). Incidence of HIV, ages 15–49 (per 1,000 uninfected population ages 15–49) [Metadata glossary, World Development Indicators]. World Bank DataBank.
World Bank. (2025c). Antiretroviral therapy coverage (% of people living with HIV). World Bank Data.
World Health Organization. (2025a, July 15). HIV and AIDS. WHO.
World Health Organization. (n.d.). HIV new infections per 1000 uninfected population. WHO Indicator Metadata Registry.
Yadecha, B., Fetensa, G., Abebe, M., & Mekuria, M. (2025). Risk factors for early mortality among HIV-positive adults on antiretroviral therapy in Ethiopian health facilities. Scientific Reports, 15(1), 1344. https://doi.org/10.1038/s41598-025-23129-1
Yaylali, E., Erdogan, Z., Calisir, F., Pullukçu, H., Yildirim, F., Inan, A., Aydin, O., Tekin, S., Sonmezer, M., Sahin, T., Ozcagli, T., & Ozelgun, B. (2024). Rapid initiation of antiretroviral therapy in Turkey: A modeling study. Frontiers in Public Health, 12, 1224449. https://doi.org/10.3389/fpubh.2024.1224449
Zhao, Y., Wei, L., Dou, Z., Zhao, D., Gan, X., Wu, Y., & Han, M. (2023). Changing mortality and patterns of death causes in HIV infected patients — China, 2013–2022. China CDC Weekly, 5(47), 1073–1078. https://doi.org/10.46234/ccdcw2023.201
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Dr. Ramon George Atento, Dr. Leah F. Quinto, Joel Morcilla, MSMLS (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors retain copyright of their articles but grant the International Journal of Health & Business Analytics (IJHBA) the right of first publication.