Formed as part of the President’s Interdisciplinary Seed Grant program, this group aims to develop novel data products, quantitative methods, and theory on the drivers of zoonotic spillover and the geography of emerging infectious diseases. We seek to build new tools for predictive modeling and risk mapping that provide an […]
Established in October 2017, this working group aims to develop the Center’s collective expertise in mapping and spatial modeling of infectious diseases. These efforts include: developing learning resources for other center members and working on collaborative mapping/modeling projects to provide hands-on experience to group members. We’ve recently developed tutorials for […]
Established in September 2017, this working group aims to advance our capacity to forecast infectious disease dynamics by developing a forecasting architecture written in the programming language R and disseminating stress-tested R packages to CEID members and the greater scientific community. By forecasting a variety of diseases with generic time […]
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