A Bayesian approach to estimate changes in condom use from limited human immunodeficiency virus prevalence data

Title:	A Bayesian approach to estimate changes in condom use from limited human immunodeficiency virus prevalence data
Authors:	Dureau, J Kalogeropoulos, K Vickerman, P Pickles, M Boily, M-C
Item Type:	Journal Article
Issue Date:	1-Feb-2016
Date of Acceptance:	1-May-2015
URI:	http://hdl.handle.net/10044/1/30538
DOI:	https://dx.doi.org/10.1111/rssc.12116
ISSN:	0035-9254
Publisher:	Wiley
Start Page:	237
End Page:	257
Journal / Book Title:	Journal of the Royal Statistical Society Series C - Applied Statistics
Volume:	65
Issue:	2
Copyright Statement:	© 2015 The Authors Journal of the Royal Statistical Society: Series C Applied Statistics Published by John Wiley & Sons Ltd on behalf of the Royal Statistical Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. The copyright line for this article was changed on 6th January after original online publication.
Keywords:	Science & Technology Physical Sciences Statistics & Probability Mathematics Bayesian inference Condom use Epidemic modelling Human immunodeficiency virus infections Particle Markov chain Monte Carlo methods Time varying parameter FEMALE SEX WORKERS HIV-PREVENTION PROGRAM MODELING ANALYSIS SOUTHERN INDIA HIV/AIDS EPIDEMIC GROWTH CURVE IMPACT INTERVENTIONS TRANSMISSION CLIENTS 0104 Statistics
Publication Status:	Published
Appears in Collections:	School of Public Health