Authors: Kathleen N Deering P Vickerman M Pickles S Moses J F Blanchard B M Ramesh S Isac MC Boily
Publish Date: 2012/08/11
Volume: 17, Issue: 2, Pages: 649-661
Abstract
Quantifying sexual activity of subpopulations with highrisk sexual behaviour is important in understanding HIV epidemiology This study examined inconsistency of seven outcomes measuring selfreported clients per month CPM of female sex workers FSWs in southern India and implications for individual/populationlevel analysis Multivariate negative binomial regression was used to compare key social/environmental factors associated with each outcome A transmission dynamics model was used to assess the impact of differences between outcomes on populationlevel FSW/client HIV prevalence Outcomes based on ‘clients per last working day’ produced lower estimates than those based on ‘clients per typical day’ Although the outcomes were strongly correlated their averages differed by approximately twofold range 390–791 CPM The CPM measure chosen did not greatly influence standard epidemiological ‘risk factor’ analysis Differences across outcomes influenced HIV prevalence predictions Due to this uncertainty we recommend basing populationbased estimates on the range of outcomes particularly when assessing the impact of interventionsKND is supported by a postdoctoral research fellowship from the Canadian Institutes of Health Research and the Michael Smith Foundation for Health Research Support for this study was provided by the Bill and Melinda Gates Foundation The views expressed herein are those of the authors and do not necessarily reflect the official policy or position of the Bill and Melinda Gates Foundation
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