Webinar on Modeling impact and cost-effectiveness of HIV prevention


Mathematical modeling plays an increasingly important role in decision-making by public health agencies, industry, and academic researchers. Specifically, models of HIV transmission and disease progression may help shape research on approaches to prevent infection, provide information on the potential clinical impact and cost-effectiveness of prophylactic interventions, and help project future trends of the epidemic. In the field of HIV prevention, researchers, policy makers, and funders need to be informed of the opportunities presented by mathematical models, and understand the strengths and weaknesses of model-based analyses.

The Global HIV Vaccine Enterprise organized the Webinar on Modeling impact and cost-effectiveness of HIV prevention, which introduced the main concepts behind models of HIV prevention, reviewed the state-of-the-art, and discussed the latest developments in the modeling field. This two-hour webinar covered the various sources of data, different approaches to modeling, as well as past successes and failures, and was followed by a lively panel discussion.

Date: 31 October, 2017
Time: 12:00 – 2:00 PM EDT


Andrea Ciaranello, Massachusetts General Hospital
Wim Delva, South African Centre for Epidemiological Modelling and Analysis
Dobromir Dimitrov, Fred Hutchinson Cancer Research Center
Caitlin Dugdale, Massachusetts General Hospital
Leigh Johnson, University of Cape Town
Gabriella Scarlatti, Global HIV Vaccine Enterprise
Yegor Voronin, Global HIV Vaccine Enterprise

If you have any questions about the meeting, please contact Yegor Voronin at

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