Assessment of the population-level effectiveness of the Avahan HIV-prevention programme in South India: a preplanned, causal-pathway-based modelling analysis.

[1]  Peter Vickerman,et al.  Positive impact of a large-scale HIV prevention programme among female sex workers and clients in South India , 2013, AIDS.

[2]  S. Moses,et al.  Population-Level Impact of Avahan in Karnataka State, South India Using Multilevel Statistical Modelling Techniques , 2013, Journal of acquired immune deficiency syndromes.

[3]  J. Garcia-Calleja,et al.  Trends in HIV prevalence among young people in generalised epidemics: implications for monitoring the HIV epidemic , 2012, Sexually Transmitted Infections.

[4]  P. Segers Annual Report 2011/12 , 2012 .

[5]  Jeffrey W. Eaton,et al.  HIV Treatment as Prevention: Considerations in the Design, Conduct, and Analysis of Cluster Randomized Controlled Trials of Combination HIV Prevention , 2012, PLoS medicine.

[6]  S. Moses,et al.  Polling Booth Surveys: A Novel Approach for Reducing Social Desirability Bias in HIV-Related Behavioural Surveys in Resource-Poor Settings , 2012, AIDS and Behavior.

[7]  G. Peersman,et al.  Evaluating HIV prevention effectiveness: the perfect as the enemy of the good , 2012, AIDS.

[8]  M. Laga,et al.  Avahan and impact assessment , 2012, The Lancet.

[9]  Peter Vickerman,et al.  A dose-response relationship between exposure to a large-scale HIV preventive intervention and consistent condom use with different sexual partners of female sex workers in southern India , 2011, BMC public health.

[10]  S. Moses,et al.  Heterogeneity of the HIV epidemic in the general population of Karnataka state, south India , 2011, BMC public health.

[11]  B. Vuylsteke,et al.  Evaluating AVAHAN’s design, implementation and impact: lessons learned for the HIV Prevention Community , 2011, BMC public health.

[12]  R. Paranjape,et al.  Assessment of the scale, coverage and outcomes of the Avahan HIV prevention program for female sex workers in Tamil Nadu, India: is there evidence of an effect? , 2011, BMC public health.

[13]  T. Boerma,et al.  Beyond accountability: learning from large-scale evaluations , 2011, The Lancet.

[14]  L. Dandona,et al.  Assessment of population-level effect of Avahan, an HIV-prevention initiative in India , 2011, The Lancet.

[15]  Neff Walker,et al.  Mathematical models in the evaluation of health programmes , 2011, The Lancet.

[16]  Peter Vickerman,et al.  To what extent is the HIV epidemic in southern India driven by commercial sex? A modelling analysis , 2010, AIDS.

[17]  B M Ramesh,et al.  Assessing reported condom use among female sex workers in southern India through examination of condom availability , 2010, Sexually Transmitted Infections.

[18]  S. Srinivasan,et al.  Scale-up and coverage of Avahan: a large-scale HIV-prevention programme among female sex workers and men who have sex with men in four Indian states , 2010, Sexually Transmitted Infections.

[19]  J Bradley,et al.  Assessment of intervention outcome in the absence of baseline data: ‘reconstruction’ of condom use time trends using retrospective analysis of survey data , 2010, Sexually Transmitted Infections.

[20]  Peter Vickerman,et al.  Interim modelling analysis to validate reported increases in condom use and assess HIV infections averted among female sex workers and clients in southern India following a targeted HIV prevention programme , 2010, Sexually Transmitted Infections.

[21]  R. Paranjape,et al.  Programme coverage, condom use and STI treatment among FSWs in a large-scale HIV prevention programme: results from cross-sectional surveys in 22 districts in southern India , 2010, Sexually Transmitted Infections.

[22]  T. Hallett,et al.  Assessing evidence for behaviour change affecting the course of HIV epidemics: a new mathematical modelling approach and application to data from Zimbabwe. , 2009, Epidemics.

[23]  P Vickerman,et al.  Modelling the transmission of HIV and HCV among injecting drug users in Rawalpindi, a low HCV prevalence setting in Pakistan , 2009, Sexually Transmitted Infections.

[24]  S. Moses,et al.  Using mathematical modelling to investigate the plausibility of attributing observed antenatal clinic declines to a female sex worker intervention in Karnataka state, India , 2008, AIDS.

[25]  M. Boily,et al.  Evaluation design for large-scale HIV prevention programmes: the case of Avahan, the India AIDS initiative , 2008, AIDS.

[26]  S. Moses,et al.  Prevalence and determinants of HIV and sexually transmitted infections in a general population-based sample in Mysore district, Karnataka state, southern India , 2008, AIDS.

[27]  P. Goswami,et al.  Appropriateness and execution challenges of three formal size estimation methods for high-risk populations in India , 2008, AIDS.

[28]  Tobi Saidel,et al.  Baseline integrated behavioural and biological assessment among most at-risk populations in six high-prevalence states of India: design and implementation challenges , 2008, AIDS.

[29]  Vikram Patel,et al.  Effectiveness of interventions for the prevention of HIV and other sexually transmitted infections in female sex workers in resource poor setting: a systematic review , 2008, Tropical medicine & international health : TM & IH.

[30]  S Reza-Paul,et al.  Evaluating large-scale HIV prevention interventions: study design for an integrated mathematical modelling approach , 2007, Sexually Transmitted Infections.

[31]  L. Dandona,et al.  A population-based study of human immunodeficiency virus in south India reveals major differences from sentinel surveillance-based estimates , 2006, BMC Medicine.

[32]  H. Rees,et al.  Are Targeted HIV Prevention Activities Cost-Effective in High Prevalence Settings? Results From a Sexually Transmitted Infection Treatment Project for Sex Workers in Johannesburg, South Africa , 2006, Sexually transmitted diseases.

[33]  G. Dallabetta,et al.  Pursuing scale and quality in STI interventions with sex workers: initial results from Avahan India AIDS Initiative , 2006, Sexually Transmitted Infections.

[34]  S. Moses,et al.  AIDS in South Asia: Understanding and Responding to a Heterogenous Epidemic , 2006 .

[35]  J. Pépin,et al.  Transactional sex is the driving force in the dynamics of HIV in Accra, Ghana , 2004, AIDS.

[36]  M. Alary,et al.  Role of core and bridging groups in the transmission dynamics of HIV and STIs in Cotonou, Benin, West Africa , 2002, Sexually transmitted infections.

[37]  M. Alary,et al.  Decline in the prevalence of HIV and sexually transmitted diseases among female sex workers in Cotonou, Benin, 1993–1999 , 2002, AIDS.

[38]  Alan E. Greenberg,et al.  Increase in condom use and decline in HIV and sexually transmitted diseases among female sex workers in Abidjan, Côte d'Ivoire, 1991–1998 , 2002, AIDS.

[39]  T. Boerma,et al.  Monitoring the AIDS epidemic using HIV prevalence data among young women attending antenatal clinics: prospects and problems , 2000, AIDS.

[40]  Richard J. Beckman,et al.  A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.

[41]  C. Victora,et al.  Evaluation designs for adequacy, plausibility and probability of public health programme performance and impact. , 1999, International journal of epidemiology.

[42]  Walter R. Gilks,et al.  Hypothesis testing and model selection , 1995 .

[43]  T. Quinn,et al.  The Human Immunodeficiency Virus Epidemic in India: Current Magnitude and Future Projections , 1995, Medicine.

[44]  Sander Greenland,et al.  Modern Epidemiology 3rd edition , 1986 .

[45]  U. Unicef,et al.  Global HIV/AIDS response: epidemic update and health sector progress towards universal access: progress report 2011. , 2011 .

[46]  Unaids Aids,et al.  Epidemiological Fact Sheets on HIV/AIDS and Sexually Transmitted Infections , 2004 .

[47]  Ghys et al Increase in condom use and decline in HIV and sexually transmitted diseases among female sex workers in Abidjan, Côte d'Ivoire, 1991–1998, , 2003 .

[48]  Prabhat Jha,et al.  Modelling HIV/AIDS epidemics in Botswana and India: impact of interventions to prevent transmission. , 2002, Bulletin of the World Health Organization.

[49]  Adrian E. Raftery,et al.  Hypothesis testing and model selection , 1996 .