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Abstract

This study uses annual time series data of HIV prevalence among individuals aged 15-49 years for Colombia from 1990 to 2020 to predict future trends of HIV prevalence over the period 2021 to 2030. The study utilizes Holt’s double exponential smoothing model. The optimal values of smoothing constants α and β are 0.9 and 0.1 respectively based on minimum MSE. The results of the study indicate that annual HIV prevalence among individuals aged 15-49 years will remain around 0.4% throughout the out of sample period. Therefore, we encourage authorities to scale up HIV case detection, treatment and prevention especially among key populations and vulnerable groups.

Keywords

Exponential smoothing Forecasting HIV prevalence

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How to Cite
Dr. Smartson. P. NYONI, & Thabani NYONI. (2024). Forecasting the future path of HIV prevalence among individuals aged 15-49 years in Colombia using Holt’s double exponential smoothing model. Texas Journal of Medical Science, 35, 18–23. https://doi.org/10.62480/tjms.2024.vol35.pp18-23

References

  1. UNAIDS (2019). Global HIV & AIDS statistics — 2019 fact sheet. https://www.
  2. unaids.org/en/resources/fact-sheet.
  3. GBD 2017 HIV collaborators. Global, regional, and national incidence, prevalence, and mortality of
  4. HIV, 1980–2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for
  5. the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. Lancet HIV. 2019;
  6. (12):e831– 59.
  7. Trickey A, May TM, Vehreschild JJ, Obel N, Gill J and Crane HM (2017). Survival of HIV-positive
  8. patients starting antiretroviral therapy between 1996 and 2013: a collaborative analysis of cohort
  9. studies. Lancet HIV. 4(8):e349–56.
  10. Piñeirúa A, Sierra-Madero J, Cahn P, Guevara Palmero RN, Martínez Buitrago E, and Young B
  11. (2015). The HIV care continuum in Latin America: challenges and opportunities. Lacet Infec Dis.
  12. (7):833–9.
  13. J. F Montana., G. R. O. N Ferreira., Carlos Leonardo Figueiredo Cunha., Ana Angélica Rêgo de
  14. Queiroz., Wellington Augusto Andrade Fernandes., Sandra Helena Isse Polaro., Lucia Hisako
  15. Takase Gonçalves., Danielle Costa Carrara Couto., Elucir Gir., Renata Karina Reis., Wiliam
  16. Sorensen and Eliã Pinheiro Botelho (2021). The HIV epidemic in Colombia: spatial and temporal
  17. trends analysis, BMC Public Health (2021) 21:178 https://doi.org/10.1186/s12889-021-10196-y
  18. Crabtree-Ramírez B, Belaunzarán-Zamudio PF, Cortes CP, Morales M, Sued O, and Sierra-Madero J
  19. (2020). The HIV epidemic in Latin America: a time to reflect on the history of success and the
  20. challenges ahead. J Int AIDS So, 23(3):e25468
  21. Djellouli N and Quevedo-Gómes MC (2015). Challenges to successfull implementation of HIV and
  22. AIDS related health policies in Cartagena, Colômbia. Soc Sci Med. 2015; 133:36–44.
  23. Rivillas JC, Devia Rodriguez R, Song G and Martel A (2018). How do we reach the girls and
  24. women who are the hardest to reach? Inequitable opportunities in reproductive and maternal health
  25. care services in armed conflict and forced displacement settings in Colombia. PLoS One.
  26. (1):e0188654.
  27. Arrieta-Gómez AI (2018). Realizing the fundamental right to health through litigation: the
  28. Colombian case. Health Hum Rights. 20(1):133–45

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