Recruitment of female sex workers in HIV prevention trials: Can efficacy endpoints be reached more efficiently?
JAIDS, Volume 77, Issue 4, 350–357 (2018)
Influence of model assumptions about HIV disease progression after initiating or stopping treatment on estimates of infections and deaths averted by scaling up antiretroviral therapy
PLoS ONE, 13(3): e0194220 (2018)
In What Circumstances Could Non-daily Pre-exposure Prophylaxis for HIV Substantially Reduce Program Costs? A HPTN 067/ADAPT based study
AIDS, 32(6):809-818 (2018)
Assessing the utility of the tipping point ratio to monitor HIV treatment programme in the era of universal access to ART
Infectious Disease Modelling, 3: 85-96 (2018)
Evidence of synergistic relationships between HIV and Human Papillomavirus (HPV): systematic reviews and meta‐analyses of longitudinal studies of HPV acquisition and clearance by HIV status, and of HIV acquisition by HPV status
JIAS 21 (6): e25110
Does per-act HIV-1 transmission risk through anal sex vary by gender? An updated systematic review and meta-analysis.
Am J Reprod Immunol (2018)
Anal intercourse among female sex workers in Côte d’Ivoire: prevalence, frequency, determinants, and model-based estimates of its population-level impact on HIV transmission
Changing dynamics of HIV transmission in Côte d’Ivoire: modeling which key populations acquired and transmitted HIV infections and estimating the impact of past HIV interventions (1976-2015)
JAIDS ;75(5):517-527 (2017)
Population-level impact of an accelerated HIV response plan to reach UNAIDS’ 90-90-90 target in Côte d’Ivoire: insights from mathematical modeling.
PLoS Med 14(6): e1002321 (2017)
Potential impact of pre-exposure prophylaxis for female sex workers and men who have sex with men in Bangalore, India: a mathematical modelling study
Journal of the International AIDS Society, 19:20942 (2016)
PrEP adherence patterns strongly impact individual HIV risk and observed efficacy in randomized clinical trials
JAIDS 72(4):444-451 (2016)
A curative regimen would decrease HIV prevalence but not HIV incidence unless targeted to an ART-naïve population
Scientific Reports. 6:22183 (2016)
How much do we know about drug resistance due to PrEP use? Analysis of experts’ opinion and its influence on the projected public health impact.
PLoS ONE 11(7): e0158620 (2016)
Impact of population recruitment on the HIV epidemics and the effectiveness of HIV prevention interventions.
Bulletin of Mathematical Biology. 78: 2057-90 (2016)
High incidence is not high exposure: What proportion of prevention trial participants are exposed to HIV?
PLoS ONE 10(1): e0115528 (2015)