Literature DB >> 20377420

Short communication: Prioritizing communities for HIV prevention in sub-Saharan Africa.

Till Bärnighausen1, Frank Tanser, Timothy Hallett, Marie-Louise Newell.   

Abstract

HIV prevalence is the most commonly used measure to prioritize communities for HIV prevention. We show that data on two HIV infection stages (early vs. nonearly and late vs. nonlate) allow estimation of two better measures of prevention need: HIV incidence (for prevention of HIV acquisition) and expected probability of HIV transmission in unprotected sex acts between HIV-infected community members and susceptible individuals (for prevention of HIV transmission). The three ranking schemes--by prevalence, incidence, and transmission probability--lead to significantly different community rank orders. Disease stage information should be collected in HIV surveys.

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Year:  2010        PMID: 20377420      PMCID: PMC2864052          DOI: 10.1089/aid.2009.0236

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  17 in total

Review 1.  Prioritization methods for HIV community planning.

Authors:  A P Johnson-Masotti; S D Pinkerton; D R Holtgrave
Journal:  J Public Health Manag Pract       Date:  2000-07

2.  Identifying deaths from AIDS in South Africa: an update.

Authors:  Pam Groenewald; Debbie Bradshaw; Rob Dorrington; David Bourne; Ria Laubscher; Nadine Nannan
Journal:  AIDS       Date:  2005-04-29       Impact factor: 4.177

3.  HIV prevention for a threatened continent: implementing positive prevention in Africa.

Authors:  Rebecca Bunnell; Jonathan Mermin; Kevin M De Cock
Journal:  JAMA       Date:  2006-08-16       Impact factor: 56.272

4.  Estimating cause-specific mortality from community- and facility-based data sources in the United Republic of Tanzania: options and implications for mortality burden estimates.

Authors:  David R Whiting; Philip W Setel; Daniel Chandramohan; Lara J Wolfson; Yusuf Hemed; Alan D Lopez
Journal:  Bull World Health Organ       Date:  2006-12       Impact factor: 9.408

5.  Counting the dead and what they died from: an assessment of the global status of cause of death data.

Authors:  Colin D Mathers; Doris Ma Fat; Mie Inoue; Chalapati Rao; Alan D Lopez
Journal:  Bull World Health Organ       Date:  2005-03-16       Impact factor: 9.408

6.  Comparison of HIV type 1 incidence observed during longitudinal follow-up with incidence estimated by cross-sectional analysis using the BED capture enzyme immunoassay.

Authors:  J Steven McDougal; Bharat S Parekh; Michael L Peterson; Bernard M Branson; Trudy Dobbs; Marta Ackers; Marc Gurwith
Journal:  AIDS Res Hum Retroviruses       Date:  2006-10       Impact factor: 2.205

7.  The socioeconomic determinants of HIV incidence: evidence from a longitudinal, population-based study in rural South Africa.

Authors:  Till Bärnighausen; Victoria Hosegood; Ian M Timaeus; Marie-Louise Newell
Journal:  AIDS       Date:  2007-11       Impact factor: 4.177

8.  Randomized, controlled intervention trial of male circumcision for reduction of HIV infection risk: the ANRS 1265 Trial.

Authors:  Bertran Auvert; Dirk Taljaard; Emmanuel Lagarde; Joëlle Sobngwi-Tambekou; Rémi Sitta; Adrian Puren
Journal:  PLoS Med       Date:  2005-10-25       Impact factor: 11.069

9.  Population and antenatal-based HIV prevalence estimates in a high contracepting female population in rural South Africa.

Authors:  Brian D Rice; Jörg Bätzing-Feigenbaum; Victoria Hosegood; Frank Tanser; Caterina Hill; Till Barnighausen; Kobus Herbst; Tanya Welz; Marie-Louise Newell
Journal:  BMC Public Health       Date:  2007-07-18       Impact factor: 3.295

10.  Estimating population cause-specific mortality fractions from in-hospital mortality: validation of a new method.

Authors:  Christopher J L Murray; Alan D Lopez; Jeremy T Barofsky; Chloe Bryson-Cahn; Rafael Lozano
Journal:  PLoS Med       Date:  2007-11-20       Impact factor: 11.069

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  4 in total

1.  Age-gaps in sexual partnerships: seeing beyond 'sugar daddies'.

Authors:  Miles Q Ott; Till Bärnighausen; Frank Tanser; Mark N Lurie; Marie-Louise Newell
Journal:  AIDS       Date:  2011-03-27       Impact factor: 4.177

2.  Adjusting HIV prevalence for survey non-response using mortality rates: an application of the method using surveillance data from Rural South Africa.

Authors:  Makandwe Nyirenda; Basia Zaba; Till Bärnighausen; Victoria Hosegood; Marie-Louise Newell
Journal:  PLoS One       Date:  2010-08-25       Impact factor: 3.240

3.  Concurrency revisited: increasing and compelling epidemiological evidence.

Authors:  Timothy L Mah; James D Shelton
Journal:  J Int AIDS Soc       Date:  2011-06-20       Impact factor: 5.396

Review 4.  Estimating the HIV incidence rate: recent and future developments.

Authors:  Timothy B Hallett
Journal:  Curr Opin HIV AIDS       Date:  2011-03       Impact factor: 4.283

  4 in total

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