Stanford-led Mobility Network Study of 98M Americans Predicts How COVID-19 Spreads in Cities

Stanford-led Mobility Network Study of 98M Americans Predicts How COVID-19 Spreads in Cities

Nov 17, 2020
|
82 views
Details
A Stanford study using data drawn from the movements of 98M Americans shows that most COVID-19 infections happen at superspreader areas, and how mobility patterns associated with minority and low-income groups contribute to higher infection rates. The study "Mobility network models of COVID-19 explain inequities and inform reopening" that merges demographic data, epidemiological estimates and anonymous cellphone location information is recently published in Nature. Authors include Serina Chang, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky & Jure Leskovec.

Comments
loading...