Study objectives
The primary objectives of HPTN 078 are to:
• Assess the ability of DC-RDS to identify and recruit HIV-infected MSM in the US who are not virally suppressed.
• Compare the efficacy of the two study arms (CM intervention vs. SOC control) in achieving durable viral suppression (defined as HIV VL < 200 copies/ml) 24 months after enrollment.
Modelling objectives
Develop, calibrate, and use a mathematical model of HIV transmission among MSM in the US to assess the short and long-term population-level impact of the study strategy, and its independent CM intervention components (e.g., HIV testing, ART uptake, retention in care and viral suppression), on HIV incidence and to estimate the level of viral suppression required to reduce HIV incidence in the MSM community by 10%, 20%, 30%, and 50% over 2, 5 and 10 years, and the likelihood of and time to elimination.
Collaborators
Study PIs:
Chris Beyrer, MD, MPH
Professor of Epidemiology, International Health, and Health, Behavior and Society
Director, Center for Public Health and Human Rights
Associate Director, Johns Hopkins Center for AIDS Research
Johns Hopkins University
Robert H. Remien, PhD
Professor of Clinical Psychology (in Psychiatry)
Director, HIV Center for Clinical and
Behavioral Studies
Associate Director, Division of Gender,
Sexuality and Health, NY State Psychiatric
Institute and Columbia University
CDC
Additional Funding
The HPTN Modelling Centre, which is funded by the U.S. National Institutes of Health (NIH UM1 AI068617) through HPTN fully funded this work.
Resources
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Presentations
HPTN annual meeting 2016 (Washington DC)
HPTN Modelling Center Plenary
Introducing HPTN Modelling Centre: Who? What? When? How?
Marie-Claude Boily
Loading…Modelling HIV Transmission and Treatment for US MSM to Estimate the Impact of HPTN 078 on HIV Incidence.
Kate M. Mitchell
Predicting the individual-level effectiveness of daily and non-daily PrEP based on study results from HPTN 067 ADAPT
Dobromir Dimitrov
Abstract: HPTN 067 evaluated the feasibility of daily and two non-daily PrEP regimens among women in South Africa and men who have sex with men (MSM), and transgender women, in Thailand and US. The study was designed to assess differences in acceptability and adherence to different PrEP regimens but not differences in HIV incidence across arms. We have used an individual-based mathematical model to compare the predicted reduction in HIV incidence under different dosing regimens using detailed sexual activity data from each trial site. A sex act was assumed ”PrEP protected” if a PrEP dose was taken within 2 days before the act and another dose was taken within 1 day after the act. A sex act was assumed “semi-protected” if only one of the two doses were taken. We also consider how the assumed PrEP efficacy during PrEP protected sex acts influences modelling predictions. Our analysis suggests that non-daily PrEP is unlikely to be as effective as daily PrEP in reducing HIV incidence among females in South Africa and among MSM in the USA and Thailand due to higher proportions of sex acts reported to be protected by PrEP with daily use. The comparison across the three sites suggests that PrEP was most effective among MSM in Thailand whereas the success of PrEP interventions among women in South Africa or MSM in the USA may depend on the PrEP efficacy for semi-protected acts.
IAS 2017 – 9th IAS Conference on HIV Science (Paris)
Our Symposium: Recent Advances in Mathematical Modelling to Inform HIV Prevention Research Activities and Directions
CO-CHAIRS:
- Marie-Claude Boily, Imperial College London, United Kingdom
- Kate Margaret Mitchell, Imperial College London, United Kingdom
- Dobromir Dimitrov, Fred Hutchinson Cancer Research Center, United States
Introduction to HPTN modelling Centre
Marie-Claude Boily
Loading…Women at risk, young people and HIV interventions in Ivory Coast: what is their impact on the national HIV epidemic?
Mathieu Maheu-Giroux
Loading…Estimating the impact of improvements in the HIV care cascade on HIV incidence among men who have sex with men in the US: mathematical modelling for HPTN 078
Kate Margaret Mitchell
Loading…Recruitment of Female Sex Workers in HIV Prevention Trials: Could Efficacy Endpoints Be Reached More Efficiently in HPTN trials?
Dobromir Dimitrov
Loading…Main conference
Dynamic modelling of the HIV care cascade in the United States: where are people leaving the cascade and where should we intervene?
Feyi Fadero, Marie-Claude Boily, Kate M Mitchell
Loading…CAHR 2016 – 25th Annual Canadian Conference on HIV/AIDS Research (Winnipeg)
In What Circumstances Could Non-daily Pre-exposure Prophylaxis (PrEP) Substantially Reduce Program Costs (HPTN 067)?
Kate M Mitchell, Dobromir Dimitrov, James P Hughes, Fan Xia, Deborah Donnell, Linda-Gail Bekker, Timothy H. Holtz, Sharon Mannheimer, Robert M Grant, Marie-Claude Boily
Differences in Sexual Behaviour and Access to ART are Insufficient to Explain Racial Disparities in HIV Risk for Men Who Have Sex with Men (MSM) in Baltimore
Kate M Mitchell, Dobromir Dimitrov, Marie-Claude Boily
Do Modelling Assumptions About HIV Disease Progression On and Post-treatment Affect Estimates of Treatment Impact?
Kanes Sucharitakul, Marie-Claude Boily, Kate M Mitchell
HIV intervention impact predictions from deterministic and individuals based models
Romain Silhol, Marc Brisson, John Williams, Nicolas Van de Velde, Michel Alary, Michael Pickles, Dobromir T. Dimitrov, Peter Vickerman, Marie-Claude Boily
Importance of Epidemiological Tipping Point Ratio for ART Programme Success
Simon de Montigny, Dobromir T. Dimitrov, Benoît R. Mâsse, Kate M. Mitchell, Marie-Claude Boily,
Importance of Recruitment Process and Epidemic Initiation in Mathematical Models for Evaluating HIV Prevention Interventions
Simon de Montigny, Benoît R. Mâsse, Dobromir T. Dimitrov
Abstracts book
Loading…R4P 2016 – HIV Research for Prevention (Chicago)
Potential Impact on HIV Incidence of Increasing Viral Suppression among HIV-positive MSM in Baltimore: Mathematical Modelling for HPTN 078. [webcast]
Kate M Mitchell, Brooke Hoots, Dobromir Dimitrov, Jason Farley, Marcy Gelman, Danielle German, Colin Flynn, Robert H Remien, Chris Beyrer, Gabriela Paz-Bailey, Marie-Claude Boily
Loading…Modeling the HIV Epidemic in Côte d’Ivoire: Impact of Past Interventions.
Maheu-Giroux M, Vesga JF, Diabaté S, Alary M, and Boily MC
Predicted Effectiveness of Daily and non-Daily PrEP based on Sex Coverage Data from HPTN 067 ADAPT Sites in South Africa, Thailand and US.
Dobromir Dimitrov, Daniel Wood, Kate M Mitchell, Maoji Li, James P Hughes, Deborah Donnell, Linda-Gail Bekker, Sharon Mannheimer, Timothy H. Holtz, Robert M Grant, Marie-Claude Boily
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