MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics
(2024)
Book Chapter
Arehart, C. H., Arehart, J. H., David, M. Z., D'Amico, B., Sozzi, E., Dukic, V., & Pomponi, F. (in press). MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics. In B. Sriraman (Ed.), Handbook of Visual, Experimental and Computational Mathematics - Bridges through Data (1-29). Springer. https://doi.org/10.1007/978-3-030-93954-0_2-1
During the global COVID-19 pandemic, policy makers, public health practitioners, medical experts, and laypersons have sought data that would enable evidence-based decisions about which interventions would be most effective at slowing the spread of SA... Read More about MONOPOLI: a customizable model to provide forecasts of Covid-19 infections around the world using alternative non-pharmaceutical intervention policy scenarios, human movement data, and regional demographics.