Federal Grants Support Research to Improve Pandemic Forecasting

University of Massachusetts Amherst biostatistician Nicholas Reich and UMass Amherst colleagues Dan Sheldon, an artificial intelligence (AI) researcher; Andrew Lover, an infectious disease epidemiologist; and biostatistics Ph.D. student Casey Gibson received a $300,000 grant from the NIH to develop new statistical methods for their individual mechanistic Bayesian forecasting model. It’s one of the models featured on the COVID-19 Forecast Hub, the FiveThirtyEight COVID-19 Forecast tracker and the CDC website.

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