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Lessons from the 2012 National HIV Household Survey to improve mathematical modelling for HIV policy

Year: 2025

Type: article

Abstract: Since the start of the HIV epidemic in sub-Saharan Africa, mathematical models fitted to surveillance data have been heavily relied on for estimating and projecting the future course of HIV epidemics. The establishment of HIV surveillance at antenatal clinics in the late 1980s created routinely available data for systematically monitoring HIV epidemics across Africa, but mathematical models are needed to relate these data to the outcomes that matter most for responding to HIV epidemics: HIV in the general population, new HIV infections, and HIV deaths.

Source: Human Science Research Council SA

DOI: 10.14749/30050923

Author: Human Sciences Research Council

Language: English

Topic: HIV/AIDS Research and Interventions

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Human Sciences Research Council

OpenAlex ID: W7079976231

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