In this seminar, Abbey Woolverton, a Ph.D. candidate in the Global Infectious Disease Program at Georgetown University, shared her doctoral research examining how various data sources, methods, and study design choices influence our understanding of whether lockdowns and other non-pharmaceutical interventions were effective in mitigating the COVID-19 pandemic. She aims to continue her work investigating sources of bias in infectious disease surveillance systems in order to improve future public health impact analyses.
This event was co-sponsored by the Center for Global Health Science and Security, the School of Health’s Department of Health Management and Policy, and the Global Health Institute.
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Abbey Wolverton is a Ph.D. candidate in the Global Infectious Disease Program at Georgetown University and a former data science and visualization STAR fellow in the USAID Bureau for Global Health.