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.
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