Literature DB >> 23369607

Peak HIV prevalence: a useful outcome variable for ecological studies.

Chris Kenyon1, Robert Colebunders, Helene Voeten, Mark Lurie.   

Abstract

A key question for ecological studies with HIV as the outcome variable is what measure of HIV prevalence to use. In this study we compared the strengths and weaknesses of a variety of measures of HIV prevalence, focusing on peak HIV prevalence and HIV prevalence measured at the same time as the exposure variable. We explored the theoretical problems with each of the two measures of HIV prevalence. We then investigated the difference that substituting one variable for the other made to two published ecological studies. One published study found a strong relationship between migration intensity and HIV prevalence measured at the time the migration was measured. When we repeated the analysis using peak HIV prevalence as the outcome variable, there was no evidence of an association. The second study found evidence of a strong relationship between concurrency and peak HIV prevalence. On repetition of the analysis (but utilizing HIV prevalence at the time the concurrency was measured as the outcome variable) there was no longer a significant association. The choice of HIV measure as outcome variable in ecological studies makes a large difference to the study results. The choice of peak HIV prevalence as outcome variable offers the advantage of avoiding the HIV introduction time bias.
Copyright © 2013 International Society for Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23369607      PMCID: PMC4451821          DOI: 10.1016/j.ijid.2012.12.020

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


  33 in total

1.  Strong association between point-concurrency and national peak HIV prevalence.

Authors:  Chris Kenyon; Robert Colebunders
Journal:  Int J Infect Dis       Date:  2012-07-04       Impact factor: 3.623

2.  Migration, behaviour change and HIV/STD risks in China.

Authors:  X Yang; V J Derlega; H Luo
Journal:  AIDS Care       Date:  2007-02

3.  Migration and AIDS.

Authors:  J Decosas; F Kane; J K Anarfi; K D Sodji; H U Wagner
Journal:  Lancet       Date:  1995-09-23       Impact factor: 79.321

4.  The epidemiology of HSV-2 infection and its association with HIV infection in four urban African populations.

Authors:  H A Weiss; A Buvé; N J Robinson; E Van Dyck; M Kahindo; S Anagonou; R Musonda; L Zekeng; L Morison; M Caraël; M Laga; R J Hayes
Journal:  AIDS       Date:  2001-08       Impact factor: 4.177

5.  Role of concurrency in generalised HIV epidemics.

Authors:  Martina Morris; Helen Epstein
Journal:  Lancet       Date:  2011-11-26       Impact factor: 79.321

6.  HIV seroincidence and correlates of seroconversion in a cohort of male factory workers in Harare, Zimbabwe.

Authors:  M T Mbizvo; R Machekano; W McFarland; S Ray; M Bassett; A Latif; D Katzenstein
Journal:  AIDS       Date:  1996-07       Impact factor: 4.177

7.  High HIV incidence in a community with high HIV prevalence in rural South Africa: findings from a prospective population-based study.

Authors:  Till Bärnighausen; Frank Tanser; Zanomsa Gqwede; Clifford Mbizana; Kobus Herbst; Marie-Louise Newell
Journal:  AIDS       Date:  2008-01-02       Impact factor: 4.177

8.  South African national household survey of HIV/AIDS prevalence, behavioural risks and mass media impact--detailed methodology and response rate results.

Authors:  Olive Shisana; David Stoker; Leickness Chisamu Simbayi; Mark Orkin; Francois Bezuidenhout; Sean Edwin Jooste; Mark Colvin; Johan van Zyl
Journal:  S Afr Med J       Date:  2004-04

9.  Gender, migration and HIV in rural KwaZulu-Natal, South Africa.

Authors:  Carol S Camlin; Victoria Hosegood; Marie-Louise Newell; Nuala McGrath; Till Bärnighausen; Rachel C Snow
Journal:  PLoS One       Date:  2010-07-12       Impact factor: 3.240

Review 10.  Male circumcision and risk of syphilis, chancroid, and genital herpes: a systematic review and meta-analysis.

Authors:  H A Weiss; S L Thomas; S K Munabi; R J Hayes
Journal:  Sex Transm Infect       Date:  2006-04       Impact factor: 3.519

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  8 in total

Review 1.  Conceptual framework and research methods for migration and HIV transmission dynamics.

Authors:  Susan Cassels; Samuel M Jenness; Aditya S Khanna
Journal:  AIDS Behav       Date:  2014-12

2.  Peak HIV prevalence: a useful outcome variable for ecological studies.

Authors:  Chris Kenyon; Robert Colebunders; Helene Voeten; Mark Lurie
Journal:  Int J Infect Dis       Date:  2013-01-28       Impact factor: 3.623

3.  The Prevalence of HIV by Ethnic Group Is Correlated with HSV-2 and Syphilis Prevalence in Kenya, South Africa, the United Kingdom, and the United States.

Authors:  Chris Richard Kenyon; Kara Osbak; Jozefien Buyze
Journal:  Interdiscip Perspect Infect Dis       Date:  2014-09-24

4.  It's the network, stupid: a population's sexual network connectivity determines its STI prevalence.

Authors:  Chris R Kenyon; Wim Delva
Journal:  F1000Res       Date:  2018-12-02

5.  HIV prevalence by race co-varies closely with concurrency and number of sex partners in South Africa.

Authors:  Chris Kenyon; Jozefien Buyze; Robert Colebunders
Journal:  PLoS One       Date:  2013-05-21       Impact factor: 3.240

6.  Migration intensity has no effect on peak HIV prevalence: an ecological study.

Authors:  Chris Kenyon; Robert Colebunders; Helene Voeten; Mark Lurie
Journal:  BMC Infect Dis       Date:  2014-06-24       Impact factor: 3.090

7.  Space-time migration patterns and risk of HIV acquisition in rural South Africa.

Authors:  Adrian Dobra; Till Bärnighausen; Alain Vandormael; Frank Tanser
Journal:  AIDS       Date:  2017-01-02       Impact factor: 4.177

8.  Strong associations between national prevalence of various STIs suggests sexual network connectivity is a common underpinning risk factor.

Authors:  Chris Kenyon
Journal:  BMC Infect Dis       Date:  2017-10-12       Impact factor: 3.090

  8 in total

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