Tiger Gao & Policy Punchline
Policy Punchline
Coronavirus: An Epidemiological Perspective on the Growing Crisis
0:00
Current time: 0:00 / Total time: -52:45
-52:45

Coronavirus: An Epidemiological Perspective on the Growing Crisis

Professor Jessica Metcalf of Princeton explains how to best understand the novel Coronavirus and emerging diseases in general, why it might take a long while to find and produce a vaccine, why the WHO would declare a State of Emergency around the Coronavirus, how researchers can measure its severity and spread, and what properties of COVID-19 compel her to think it might go global. Jessica Metcalf is Assistant Professor of Ecology, Evolutionary Biology & Public Affairs at Princeton University, and a demographer with broad interests in evolutionary ecology, infectious disease dynamics and public policy. Some of her motivating research questions of particular interest include: How will changing human demography impact infectious disease incidence and spread? What drives dynamics of rubella through space and time, and what does this indicate for vaccine control? What are the key influences on dynamics of malaria inside the bloodstream of mice, and what does this imply for control as well as evolution of the parasite? When should reproduction occur in plants where reproduction is fatal (from an evolutionary perspective) and can we link this back to the genetic background using the model plant system, Arabidopsis thaliana? How long do trees live and what does this imply for rates of carbon turnover and recovery following the spread of forest pathogens? Prof. Metcalf’s teaching focuses on a course titled Epidemiology: An Ecological and Evolutionary Perspective. Her course aims to communicate both an understanding of the core principles of epidemiology (ranging from classical study designs to core analytical techniques) and a broader perspective into the fundamental drivers of health outcomes (ranging from ecological drivers of the spread of infectious disease to the evolutionary determinants of profiles of late age mortality).