Literature DB >> 19098474

Appropriateness and execution challenges of three formal size estimation methods for high-risk populations in India.

Selvaraj Vadivoo1, Mohan D Gupte, Rajatashuvra Adhikary, Anjalee Kohli, Boopathi Kangusamy, Vasna Joshua, A K Mathai, Kishore Kumar, Mandar Mainkar, Prabuddhagopal Goswami.   

Abstract

OBJECTIVES: To describe formal, external to programme methods for size estimation of high-risk populations and compare execution challenges and validity of results.
DESIGN: A cross-sectional HIV risk behavioural and biological survey was implemented among 24, 10 and five female sex workers, high-risk men who have sex with men and injecting drug user survey groups, respectively. Size estimates were calculated using three formal methods: capture-recapture, the multiplier method and the reverse tracking method (RTM), a new method.
METHODS: Estimates were compared with each other and programme data.
RESULTS: In general, when appropriately executed, formal methods produced smaller estimates to programme data, although the RTM tended to be closer to programme estimates.
CONCLUSIONS: Capture-recapture requires some knowledge of site location. It can be used as a community mobilization measure at the initiation of a programme. The multiplier method presumes the existence of high quality external data and requires care in selecting the appropriate multiplier. All size estimation methods require careful planning and a full understanding of population dynamics and limitations of data. Before selecting a size estimation method, one must be aware of the strengths, weaknesses and applicability of each method. Use of size estimation methods in large-scale programmes should be considered carefully with adequate importance given to planning and implementation.

Entities:  

Mesh:

Year:  2008        PMID: 19098474     DOI: 10.1097/01.aids.0000343772.82647.2d

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  19 in total

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9.  Sex role segregation and mixing among men who have sex with men: implications for biomedical HIV prevention interventions.

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10.  Estimating the size of HIV key affected populations in Chongqing, China, using the network scale-up method.

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Journal:  PLoS One       Date:  2013-08-13       Impact factor: 3.240

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