2013
DOI: 10.1097/qad.0b013e32835848ab
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Underestimation of HIV prevalence in surveys when some people already know their status, and ways to reduce the bias

Abstract: As the proportion of the population who know their HIV-status increases, survey-based prevalence estimates become increasingly biased. As an adjustment method for cross-sectional data remains elusive, sources of data with high coverage, such as antenatal clinics surveillance, remain important.

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Cited by 52 publications
(58 citation statements)
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“…To test the robustness of our findings, we conducted additional analyses using methods similar to those introduced by Floyd et al [20]. We added HIV status data available at one point in time from the same individual who at another point in time refused an HIV test to proxy HIV status at the date of refusal.…”
Section: Resultsmentioning
confidence: 99%
“…To test the robustness of our findings, we conducted additional analyses using methods similar to those introduced by Floyd et al [20]. We added HIV status data available at one point in time from the same individual who at another point in time refused an HIV test to proxy HIV status at the date of refusal.…”
Section: Resultsmentioning
confidence: 99%
“…Four annual HIV serosurveys (2007–2011), with 70% participation and 98% requesting their results, show HIV prevalence is 9% in adult women 6. Trained local key informants (n=280) provide notification of all births (including stillbirths) in the DSS on a monthly basis, and the date and location of each birth and the parent's details are recorded at a home visit from a study interviewer.…”
Section: Methodsmentioning
confidence: 99%
“…The Manicaland study offered free HIV tests for diagnostic purposes at a local antenatal clinic. Some of the ALPHA Network members have published studies describing the HIV serosurveys, non-response in the HIV serosurveillance and associated bias in HIV prevalence estimates 21–25. The serosurveys also create an opportunity to administer an individual interview on sexual behaviour, health services utilization, etc.…”
Section: Data Collectedmentioning
confidence: 99%