Giuseppe
Emeritus
Using tests for recent infection to estimate incidence: problems and prospects for HIV (Euro Surveill., abstract, edited)
[Source: EuroSurveillance.org, <cite cite="http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=19589">Eurosurveillance - View Article</cite>. Abstract, edited.]
Eurosurveillance, Volume 15, Issue 24, 17 June 2010
Perspectives
Using tests for recent infection to estimate incidence: problems and prospects for HIV
A Welte 1,2, T A McWalter 1,2, O Laeyendecker 3,4, T B Hallett 5
1. School of Computational and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa
2. South African Centre for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
3. National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, United States of America
4. Johns Hopkins University, School of Medicine, Baltimore, United States of America
5. Institute for Global Health, Imperial College London, London, United Kingdom
Citation style for this article: Welte A, McWalter TA, Laeyendecker O, Hallett TB. Using tests for recent infection to estimate incidence: problems and prospects for HIV. Euro Surveill. 2010;15(24)
ii=19589. Available online: http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=19589
Date of submission: 27 May 2010
Tests for recent infection (TRIs), such as the BED assay, provide a convenient way to estimate HIV incidence rates from cross-sectional survey data. Controversy has arisen over how the imperfect performance of a TRI should be characterised and taken into account. Recent theoretical work is providing a unified framework within which to work with a variety of TRI- and epidemic-specific assumptions in order to estimate incidence using imperfect TRIs, but suggests that larger survey sample sizes will be required than previously thought. This paper reviews the framework qualitatively and provides examples of estimator performance, identifying the characteristics required by a TRI to estimate incidence reliably that should guide the future development of TRIs.
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[Source: EuroSurveillance.org, <cite cite="http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=19589">Eurosurveillance - View Article</cite>. Abstract, edited.]
Eurosurveillance, Volume 15, Issue 24, 17 June 2010
Perspectives
Using tests for recent infection to estimate incidence: problems and prospects for HIV
A Welte 1,2, T A McWalter 1,2, O Laeyendecker 3,4, T B Hallett 5
1. School of Computational and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa
2. South African Centre for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
3. National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, United States of America
4. Johns Hopkins University, School of Medicine, Baltimore, United States of America
5. Institute for Global Health, Imperial College London, London, United Kingdom
Citation style for this article: Welte A, McWalter TA, Laeyendecker O, Hallett TB. Using tests for recent infection to estimate incidence: problems and prospects for HIV. Euro Surveill. 2010;15(24)
Date of submission: 27 May 2010
Tests for recent infection (TRIs), such as the BED assay, provide a convenient way to estimate HIV incidence rates from cross-sectional survey data. Controversy has arisen over how the imperfect performance of a TRI should be characterised and taken into account. Recent theoretical work is providing a unified framework within which to work with a variety of TRI- and epidemic-specific assumptions in order to estimate incidence using imperfect TRIs, but suggests that larger survey sample sizes will be required than previously thought. This paper reviews the framework qualitatively and provides examples of estimator performance, identifying the characteristics required by a TRI to estimate incidence reliably that should guide the future development of TRIs.
-
------