Last week, I had a new story published at FiveThirtyEight about the challenges a new CDC forecasting center is facing. Here’s one of the interviews I did for that piece, with epidemiologist Jason Salemi.
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This week, the CDC introduced a new team focused on modeling infectious diseases, called the Center for Forecasting and Outbreak Analytics (or CFA). The agency aims to hire about 100 scientists and communicators for the center; they’ll currently focus on COVID-19, but will expand to other diseases in the future.
Read MoreHospital worker vaccination rates, a new study modeling COVID-19 deaths, a New York Times mix-up, and more.
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When the University of California at San Diego started planning out their campus reopening strategy last spring, a research team at the school enlisted Ravi Goyal to help determine the most crucial mitigation measures. Goyal is a statistician at the policy research organization Mathematica (no, not the software system). I spoke to Goyal this week about the challenges of modeling COVID-19, the patterns he saw at UC San Diego, and how this pandemic may impact the future of infectious disease modeling.
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