08mar8:30 am12:00 pmFeaturedInter-CFAR Symposium: Tackling HIV, HCV, and Overdose Among People Who Use DrugsHosted by the UC San Diego HIV Institute, San Diego Center for AIDS Research, and Providence/Boston CFAR8:30 am - 12:00 pm(GMT+00:00)

Event Details

The UC San Diego HIV Institute, San Diego Center for AIDS Research, and Providence/Boston CFAR are hosting a hybrid symposium, Tackling HIV, HCV, and Overdose Among People Who Use Drugs, on March 8, 2024, from 8:30 a.m. – 12:00 p.m. (Pacific Time). There are three symposium sessions:

Session I (8:30 am – 9:55 am), CME offered

Brandon Marshall (Brown University, RI): Lessons from Launching Project SAFER: A comparative evaluation of overdose prevention centers in Rhode Island and New York City.

Joshua Barocas (University of Colorado Anshutz, CO): Size does matter: why accurate prevalence estimates of drug use and HIV risk are crucial to ending the epidemics.

Natasha Martin (UC San Diego, CA): Using network modeling to inform HIV incidence estimation through incorporation of molecular data

Session II (10:00 am – 11:00 am)

Jack Stone (University of Bristol, UK): Evaluating the impact of increased provision of low dead space syringes on HIV and HCV transmission among people who inject drugs: A modelling analysis for 21 countries

Adelina Artenie (University of Bristol, UK): Improving estimates of HCV and HIV incidence in people who inject drugs using different methodologies and data

Peter Vickerman (University of Bristol, UK): Modelling the impact of scaling up case finding and treatment for HCV for people who inject drugs in England

Session III (11:00 am – 12:00 pm)

Louisa Degenhardt (University of New South Wales, Australia): Using linked data to increase understanding of health and social outcomes for people who are opioid dependent: A summary of work examining impacts of opioid agonist treatment among people in Australia

Annick Bórquez (UC San Diego, CA): Fatal overdose predictions at county-level across the United States: comparing the performance of statistical and machine learning models.

Matthew Hickman (University of Bristol, UK): EPHESUS – Evaluating drug related deaths in Scotland and the impact of Opioid Agonist Treatment and Multiple Parameter Estimation of Prevalence (no Zoom)

For more information and to register for the event, please visit here.

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Time

(Friday) 8:30 am - 12:00 pm(GMT+00:00)