PREDICTING HIV PREVALENCE AMONG PEOPLE AGED 15-49 YEARS FOR ANGOLA USING BROWN’S DOUBLE EXPONENTIAL SMOOTHING TECHNIQUE

Authors

  • Dr. Smartson. P. NYONI ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  • Thabani NYONI Independent Researcher & Health Economist, Harare, Zimbabwe

Keywords:

Exponential smoothing, Forecasting

References

UNAIDS (2015). Understanding Fast-Track - Accelerating action to end AIDS epidemic by 2030.

https://www.unaids.org/sites/default/files/media_asset/201506_JC2743_Understanding_FastTrack_en.pdf.

UNAIDS (2019). Global Aids Update 2019.

Erol Orel., Rachel Esra., Janne Estill., Stéphane Marchand-Maillet., Aziza Merzouki., and Olivia Keiser (2020).

Machine learning to identify socio-behavioural predictors of HIV positivity in East and Southern Africa, medRxiv

preprint, https://doi.org/10.1101/2020.01.27.20018242doi:

Kendall et al (2016). Population Size, HIV, and Behavior Among MSM in Luanda, Angola: Challenges and

Findings in the First Ever HIV and Syphilis Biological and Behavioral Survey, J Acquir Immune Defic Syndr. 2014

August 15; 66(5): 544–551. doi:10.1097/QAI.0000000000000213.

Angola (2016). Countdown To Zero Elimination of New HIV Infections Among Children by 2015 And Keeping

Their Mothers Alive, pp. 1-4.

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Published

2024-06-20

How to Cite

Dr. Smartson. P. NYONI, & Thabani NYONI. (2024). PREDICTING HIV PREVALENCE AMONG PEOPLE AGED 15-49 YEARS FOR ANGOLA USING BROWN’S DOUBLE EXPONENTIAL SMOOTHING TECHNIQUE. World Bulletin of Public Health, 35, 114-118. Retrieved from https://scholarexpress.net/index.php/wbph/article/view/4573

Issue

Vol. 35 (2024): WBPH

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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