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HIV incidence and prevalence projections for Zimbabwe: Findings from five mathematical models

Domain:

healthcare

Record type:

paper
Creator:
TarStover, JohnGlaApo
Publisher:
Zenodo
Host:avatar
Introduction: Understanding how HIV epidemics are likely to behave in the future is key to informing HIV response strategies in low-income countries. Up-to-date HIV epidemiological estimates are important for policy decision- making, but surveillance data can be out of date. This study compared forecasts from HIV epidemiological models.

This is an Accepted Manuscript of an article published by Taylor & Francis in African Journal of AIDS Research on 2025-08-20, available online: tandfonline.com.

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doi.org

Licenses

info:eu-repo/semantics/embargoedAccessCreative Commons Attribution Non Commercial 4.0 Internationalhttps://creativecommons.org/licenses/by-nc/4.0/legalcode

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