Overestimating HIV infection:
Open Access
- 10 February 2009
- journal article
- Published by Max Planck Institute for Demographic Research in Demographic Research
- Vol. 20 (6), 65-96
- https://doi.org/10.4054/demres.2009.20.6
Abstract
In the absence of HIV testing, how do rural Malawians assess their HIV status? In this paper, we use a unique dataset that includes respondents' HIV status as well as their subjective likelihood of HIV infection. These data show that many rural Malawians overestimate their likelihood of current HIV infection. The discrepancy between actual and perceived status raises an important question: Why are so many wrong? We begin by identifying determinants of self-assessed HIV status, and then compare these assessments with HIV biomarker results. Finally, we ask what characteristics of individuals are associated with errors in self-assessments.Keywords
This publication has 35 references indexed in Scilit:
- Acceptance of repeat population-based voluntary counselling and testing for HIV in rural MalawiSexually Transmitted Infections, 2008
- The validity of self-reported likelihood of HIV infection among the general population in rural MalawiSexually Transmitted Infections, 2006
- Social networks, perceptions of risk, and changing attitudes towards HIV/AIDS: New evidence from a longitudinal study using fixed-effects analysisPopulation Studies, 2005
- Perceptions of risk and strategies for prevention: responses to HIV/AIDS in rural MalawiSocial Science & Medicine (1982), 2005
- Measuring ExpectationsEconometrica, 2004
- "My Girlfriends Could Fill A Yanu-Yanu Bus"Demographic Research, 2003
- Introduction to "Research on Demographic Aspects of HIV/AIDS in Rural Africa"Demographic Research, 2003
- Efficacy of voluntary HIV-1 counselling and testing in individuals and couples in Kenya, Tanzania, and Trinidad: a randomised trialThe Lancet, 2000
- Faithful but fearfulAIDS, 1996
- Judgment under Uncertainty: Heuristics and BiasesScience, 1974