SÉMINAIRE SANTÉ PUBLIQUE
Quasi-experimental methods in the IeDEA Cohort Collaboration: Estimating the Causal Effects of Extreme Weather Events on HIV Care Outcomes
Amphi Louis

Subject:
Quasi-experimental methods in the IeDEA Cohort Collaboration: Estimating the Causal Effects of Extreme Weather Events on HIV Care Outcomes

Speaker:
Pr Denis Nash, PhD
Distinguished Professor of Epidemiology
Executive Director, CUNY Institute for Implementation Science in Population Health
City University of New York, USA
More info about Denis Nash

Bio :
Dr. Nash is an epidemiologist with over 20 years of experience and leadership in conducting epidemiologic studies. His central interests include infectious diseases, the field of public health surveillance, the use of public health surveillance data to conduct rigorous assessments of programmatic effectiveness, and the impact of policies on health. He has worked extensively in domestic and international settings conducting large-scale, ‘real-world’ epidemiologic studies examining key outcomes among persons with HIV infection.

Summary:

The talk will cover examples of quasi-experimental methods that we have used in the IeDEA cohort to assess the impact of polices on HIV care outcomes in the past. I will also share the aims and design for a recently funded R01 to examine the causal effects of extreme weather on HIV care outcomes around the globe.
Learning Objectives
At the completion of this talk, attendees will be able to:
• To appreciate the potential for applications of quasi-experimental methods to address causal research questions around HIV care outcomes;
• To become oriented to the climate-related data sources that can be used to create exposure variables to assess the influence of extreme weather on HIV care outcomes.