Joelle Rosser: How to Adapt to a Changing World: Rethinking Infectious Disease Research in the Era of Climate Change
Joelle Rosser is a fellow in the division of infectious diseases and geographic medicine at Stanford. Her research interests include the mitigation of climate change related health impacts and green development. She is currently working on an interdisciplinary project evaluating the impact of building a green water infrastructure as a means of mitigating the infectious disease impacts of flooding in developing countries. Domestically, she is interested in how the U.S. healthcare system can both prepare for the health impacts of a changing environment and be a leader in decreasing greenhouse gas emissions, and the health impacts of accelerated climate change and wildfires in Alaskan Arctic communities.
Joelle grew up in southern California and graduated from the University of California, San Diego. Her undergraduate work focused on community-based conservation programs in Tanzania and led to her receiving the university’s highest award for dedication to service and leadership. After her undergraduate work, she moved to Tanzania for two years, designing and leading health and education projects in rural communities around Kilimanjaro National Park. She moved back to the U.S. to attend Emory Medical School as a Woodruff Scholar. While a medical student, she conducted research on barriers to cancer screening in rural Kenya as a Doris Duke Fellow. She completed her Internal Medicine Residency at the University of Washington and received her Diploma in Tropical Medicine from the Gorgas Institute at the Universidad Peruana Cayetano Heredia.
Join the EPPIcenter is welcoming Dr Rosser
The EPPIcenter at UCSF aims to advance the understanding of infectious diseases to reduce global morbidity and mortality. We believe that the greatest success in the fight against infectious diseases will come through a highly interdisciplinary, systems epidemiology approach, connecting traditionally siloed theoretical work, technology development, generation and collection of empiric data, and analysis using statistical and mathematical modeling.