CDC Workshop on Applied Epidemiology and Environmental Health
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The content and conclusions in these presentations are those of the authors and presenters and do not necessarily represent the views of, nor should any endorsements be inferred by, the Centers for Disease Control and Prevention.
The Centers for Disease Control and Prevention (CDC), Division of Environmental Health Science and Practice (DEHSP), hosted a virtual workshop on applied epidemiology and environmental health, August 2–3, 2022. This exciting workshop brought together environmental epidemiologists from state and local health departments, academia, and CDC to discuss applied and innovative epidemiologic methods and how they can be used in environmental health research and practice.
Attendees had the opportunity to learn from experts regarding topics such as survey methodologies for disaster responses, cluster investigations, ecologic studies, and analytic methods to account for geospatial correlation.
The workshop broadcasted from 11:30 a.m. to 4:30 p.m. ET each day.
Audience
The workshop is designed for epidemiologists, statisticians, and other environmental health professionals at state, tribal, local, and territorial (STLT) public health agencies and environmental health organizations.
Moderator
W. Dana Flanders, M.D., DSc, M.P.H.
Professor, Department of Epidemiology, Rollins School of Public Health
Emory University
Academic, State, and Local Partnerships for Primary Data after Disasters: CASPER and Beyond
Jennifer Horney, Ph.D., M.P.H., CPH
Professor and Founding Director, Program in Epidemiology
Core Faculty, Disaster Research Center
University of Delaware
Cancer Cluster Investigations: Review of the Past and Proposals for the Future
Michael Goodman, M.D., M.P.H.
Professor, Department of Epidemiology, Rollins School of Public Health
Emory University
Using Group-Level Variables in Epidemiology
Scott Bartell, Ph.D.
Professor, University of California, Irvine
Incorporating Spatial Correlation in Public Health Studies
Lance Waller, Ph.D.
Professor, Department of Biostatistics and Bioinformatics, Rollins School of Public Health
Emory University
The content and conclusions in these presentations are those of the authors and presenters and do not necessarily represent the views of, nor should any endorsements be inferred by, the Centers for Disease Control and Prevention.
