Literature DB >> 14667753

Estimates of HIV-1 prevalence from national population-based surveys as a new gold standard.

J Ties Boerma1, Peter D Ghys, Neff Walker.   

Abstract

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Year:  2003        PMID： 14667753     DOI： 10.1016/S0140-6736(03)14967-7

Source DB:  PubMed          Journal:  Lancet        ISSN： 0140-6736            Impact factor:   79.321


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  45 in total

1.  Nonresponse in repeat population-based voluntary counseling and testing for HIV in rural Malawi.

Authors:  Francis Obare
Journal:  Demography       Date:  2010-08

Review 2.  Monitoring global health: time for new solutions.

Authors:  Christopher J L Murray; Alan D Lopez; Suwit Wibulpolprasert
Journal:  BMJ       Date:  2004-11-06

3.  Unexpected high prevalence of hepatitis B and HIV infections in Malian medical students.

Authors:  I Maïga; A Le Faou; C P Muller; V Venard
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2005-07       Impact factor: 3.267

Review 4.  Improving projections at the country level: the UNAIDS Estimation and Projection Package 2005.

Authors:  T Brown; N C Grassly; G Garnett; K Stanecki
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

5.  Improving analysis of the size and dynamics of AIDS epidemics.

Authors:  P D Ghys; N Walker; G P Garnett
Journal:  Sex Transm Infect       Date:  2006-06       Impact factor: 3.519

Review 6.  Measuring trends in prevalence and incidence of HIV infection in countries with generalised epidemics.

Authors:  P D Ghys; E Kufa; M V George
Journal:  Sex Transm Infect       Date:  2006-04       Impact factor: 3.519

7.  When to promote, and when to avoid, a population perspective.

Authors:  Greg J Duncan
Journal:  Demography       Date:  2008-11

8.  On the assumption of bivariate normality in selection models: a Copula approach applied to estimating HIV prevalence.

Authors:  Mark E McGovern; Till Bärnighausen; Giampiero Marra; Rosalba Radice
Journal:  Epidemiology       Date:  2015-03       Impact factor: 4.822

9.  Refusal bias in HIV prevalence estimates from nationally representative seroprevalence surveys.

Authors:  Georges Reniers; Jeffrey Eaton
Journal:  AIDS       Date:  2009-03-13       Impact factor: 4.177

10.  Implications of the HIV testing protocol for refusal bias in seroprevalence surveys.

Authors:  Georges Reniers; Tekebash Araya; Yemane Berhane; Gail Davey; Eduard J Sanders
Journal:  BMC Public Health       Date:  2009-05-28       Impact factor: 3.295
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