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Mobility models of COVID-19 inform reopening

Mobility models of COVID-19 inform reopening

Restaurants, gyms, cafes and other crowded indoor venues accounted for some 8 in 10 new coronavirus infections in the early months of the U.S. epidemic, according to a new analysis that could help officials around the world now considering curfews, partial lockdowns and other measures in response to renewed outbreaks.
November 10, 2020
Research using spring cellphone data in 10 U.S. cities could help influence officials

Taylor Glascock for The New York Times

The New Yorkk Times recently wrote about a new study from Stanford Data Science co-director, Dr. Jure Lesckovec et al., on a model which predicts that a small minority of “superspreader” points of interest (POI) account for a large majority of  COVID-19 infections and that restricting maximum occupancy at each POI is more effective than uniformly reducing mobility.

This research was part of the Stanford Data Science Collabratory.

Mobility network models of COVID-19 explain inequities and inform reopening

Read paper here: https://www.nature.com/articles/s41586-020-2923-3

Read pre-print here: https://www.medrxiv.org/content/10.1101/2020.06.15.20131979v2