Lessons from the 2012 National HIV Household Survey to improve mathematical modelling for HIV policy
SOURCE: Sacema Quarterly
OUTPUT TYPE: Journal Article
PUBLICATION YEAR: 2015
TITLE AUTHOR(S): J.W.Eaton, L.F.Johnson, T.Rehle
KEYWORDS: DATA ANALYSIS, HIV/AIDS, POLICY FORMULATION, SUB-SAHARAN AFRICA
DEPARTMENT: Public Health, Societies and Belonging (HSC)
Intranet: HSRC Library: shelf number 8934
HANDLE: 20.500.11910/1690
URI: http://hdl.handle.net/20.500.11910/1690
OUTPUT TYPE: Journal Article
PUBLICATION YEAR: 2015
TITLE AUTHOR(S): J.W.Eaton, L.F.Johnson, T.Rehle
KEYWORDS: DATA ANALYSIS, HIV/AIDS, POLICY FORMULATION, SUB-SAHARAN AFRICA
DEPARTMENT: Public Health, Societies and Belonging (HSC)
Intranet: HSRC Library: shelf number 8934
HANDLE: 20.500.11910/1690
URI: http://hdl.handle.net/20.500.11910/1690
If you would like to obtain a copy of this Research Output, please contact Hanlie Baudin at researchoutputs@hsrc.ac.za.
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.-
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