Increasing Uptake of Social Distancing During COVID-19: How Machine Learning Strategies Can Lead to Targeted Interventions

Increasing Uptake of Social Distancing During COVID-19: How Machine Learning Strategies Can Lead to Targeted Interventions

Bibliographic Details
Main Authors: Grace Charles, Mokshada Jain, Yael Caplan, Hannah Kemp, Aysha Keisler, Vincent Huang, Sema K. Sgaier
Format: Article
Language:English
Published: The MIT Press 2022-01-01
Series:Harvard Data Science Review
Online Access:https://hdsr.mitpress.mit.edu/pub/4cg8dhgr

Similar Items

Similar Items