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School of Economics

HIV prevalence estimates and their use in regression models: cautionary evidence from Zimbabwe and studies of the relationship between armed conflict and HIV

Abstract

dc:description.abstract

This dissertation makes two central arguments. The first is that regressions on country-level HIV prevalence are compromised by the fact that the HIV data used are estimates and not empirical data points. The HIV prevalence rates published by UNAIDS are estimates derived from epidemiological modelling (using EPP and Spectrum) in which data from antenatal clinics (sometimes supplemented by population survey data) are translated into adult HIV prevalence estimates.

Degree

thesis:*
Grantor dc:publisher.institution
School of Economics
Year dc:date.issued
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hove, Fidelis M
Advisor dc:contributor.advisor
  • Nattrass, Nicoli

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/11777
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/11777

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Hove, Fidelis M. HIV prevalence estimates and their use in regression models: cautionary evidence from Zimbabwe and studies of the relationship between armed conflict and HIV. School of Economics, 2012. http://hdl.handle.net/11427/11777