Literature DB >> 15572641

Surveillance and modelling of HIV, STI, and risk behaviours in concentrated HIV epidemics.

S Mills1, T Saidel, R Magnani, T Brown.   

Abstract

BACKGROUND: HIV epidemics in most countries are highly concentrated among population subgroups such as female sex workers, injecting drug users, men who have sex with men, mobile populations, and their sexual partners. The perception that they are important only when they cause epidemic expansion to general populations has obscured a critical lack of coverage of preventive interventions in these groups, as well as appropriate methods for monitoring epidemic and behavioural risk trends. The difficulties in accessing such groups have likewise often cast doubt on the representativeness of observed disease and behavioural risk estimates and their validity and reliability, particularly those related to sampling and the measurement of risk behaviours.
OBJECTIVES: To review methodological obstacles in conducting surveillance with population subgroups in concentrated HIV epidemics, elaborate on recent advancements that partially overcome these obstacles, and illustrate the importance of modelling integrated HIV, STI, and behavioural surveillance data.
METHODS: Review of published HIV, STI, and behavioural surveillance data, research on epidemic dynamics, and case studies from selected countries.
CONCLUSIONS: The population subgroups that merit regular and systematic surveillance in concentrated epidemics are best determined through extensive assessment and careful definition. Adherence to recently refined chain referral and time location sampling methods can help to ensure more representative samples. Finally, because of the inherent limitations of cross sectional surveys in understanding associations between complex sexual behaviours and HIV and STI transmission, mathematical models using multiple year data offer opportunities for integrated analysis of behavioural change and HIV/STI trends.

Entities:  

Mesh:

Year:  2004        PMID: 15572641      PMCID: PMC1765848          DOI: 10.1136/sti.2004.011916

Source DB:  PubMed          Journal:  Sex Transm Infect        ISSN: 1368-4973            Impact factor:   3.519


  50 in total

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2.  A response to "developing standards in behavioral surveillance for HIV/STD prevention".

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3.  The influence of concurrent partnerships on the dynamics of HIV/AIDS.

Authors:  C H Watts; R M May
Journal:  Math Biosci       Date:  1992-02       Impact factor: 2.144

4.  Urine screening for gonococcal and chlamydial infections at community-based organizations in a high-morbidity area.

Authors:  C A Jones; R C Knaup; M Hayes; B P Stoner
Journal:  Sex Transm Dis       Date:  2000-03       Impact factor: 2.830

Review 5.  Methodological problems in AIDS behavioral research: influences on measurement error and participation bias in studies of sexual behavior.

Authors:  J A Catania; D R Gibson; D D Chitwood; T J Coates
Journal:  Psychol Bull       Date:  1990-11       Impact factor: 17.737

6.  Seroprevalence of HIV and risk behaviors among young homosexual and bisexual men. The San Francisco/Berkeley Young Men's Survey.

Authors:  G F Lemp; A M Hirozawa; D Givertz; G N Nieri; L Anderson; M L Lindegren; R S Janssen; M Katz
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7.  Utility of behavioral changes as markers of sexually transmitted disease risk reduction in sexually transmitted disease/HIV prevention trials.

Authors:  Steven David Pinkerton; Harrell Warren Chesson; Peter Mark Layde
Journal:  J Acquir Immune Defic Syndr       Date:  2002-09-01       Impact factor: 3.731

8.  Diverse realities: sexually transmitted infections and HIV in India.

Authors:  S Hawkes; K G Santhya
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9.  Sexual behavior among injection drug users in 3 indonesian cities carries a high potential for HIV spread to noninjectors.

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Journal:  J Acquir Immune Defic Syndr       Date:  2003-12-01       Impact factor: 3.731

10.  Poverty, risky sexual behaviour, and vulnerability to HIV infection: evidence from South Africa.

Authors:  Frederik le R Booysen; Joy Summerton
Journal:  J Health Popul Nutr       Date:  2002-12       Impact factor: 2.000

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  22 in total

1.  HIV behavioral surveillance in the U.S.: a conceptual framework.

Authors:  Amy Lansky; Patrick S Sullivan; Kathleen M Gallagher; Patricia L Fleming
Journal:  Public Health Rep       Date:  2007       Impact factor: 2.792

2.  HIV-untested men who have sex with men in South Africa: the perception of not being at risk and fear of being tested.

Authors:  Juan A Nel; Huso Yi; Theo G M Sandfort; Eileen Rich
Journal:  AIDS Behav       Date:  2013-05

3.  Who uses condoms with whom? Evidence from national probability sample surveys.

Authors:  J A Cassell; C H Mercer; J Imrie; A J Copas; A M Johnson
Journal:  Sex Transm Infect       Date:  2006-12       Impact factor: 3.519

4.  Estimating the Sizes of Populations At Risk of HIV Infection From Multiple Data Sources Using a Bayesian Hierarchical Model.

Authors:  Le Bao; Adrian E Raftery; Amala Reddy
Journal:  Stat Interface       Date:  2015-04-01       Impact factor: 0.582

Review 5.  Monitoring sexual behaviour in general populations: a synthesis of lessons of the past decade.

Authors:  J Cleland; J T Boerma; M Carael; S S Weir
Journal:  Sex Transm Infect       Date:  2004-12       Impact factor: 3.519

6.  The burden and risk factors of Sexually Transmitted Infections and Reproductive Tract Infections among pregnant women in Zimbabwe.

Authors:  Nyaradzai E Kurewa; Munyaradzi P Mapingure; Marshal W Munjoma; Mike Z Chirenje; Simbarashe Rusakaniko; Babill Stray-Pedersen
Journal:  BMC Infect Dis       Date:  2010-05-21       Impact factor: 3.090

7.  Associations between injection risk and community disadvantage among suburban injection drug users in southwestern Connecticut, USA.

Authors:  Robert Heimer; Russell Barbour; Wilson R Palacios; Lisa G Nichols; Lauretta E Grau
Journal:  AIDS Behav       Date:  2014-03

8.  Coverage of HIV prevention services for female sex workers in seven cities of Myanmar.

Authors:  Tin Aung; Ethi Paw; Nyo Me Aye; Willi McFarland
Journal:  AIDS Behav       Date:  2014-01

9.  Unexpectedly high HIV prevalence among female sex workers in Bangkok, Thailand in a respondent-driven sampling survey.

Authors:  C Manopaiboon; D Prybylski; W Subhachaturas; S Tanpradech; O Suksripanich; U Siangphoe; L G Johnston; P Akarasewi; A Anand; K K Fox; S J Whitehead
Journal:  Int J STD AIDS       Date:  2013-05-06       Impact factor: 1.359

10.  Analyzing the sources and nature of influence: how the Avahan program used evidence to influence HIV/AIDS prevention policy in India.

Authors:  Nhan T Tran; Sara C Bennett; Rituparna Bishnu; Suneeta Singh
Journal:  Implement Sci       Date:  2013-04-17       Impact factor: 7.327

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