Shailesh Bavadekar

TL;DR: This document describes the aggregation and anonymization process applied to the initial version of Google COVID-19 Community Mobility Reports (published at this http URL on April 2, 2020), a publicly available resource intended to help public health authorities understand what has changed in response to work-from-home, shelter-in-place, and other recommended policies aimed at flattening the curve of the CO VID-19 pandemic.

TL;DR: This work harnesses major data collection efforts underway by OpenStreetMap, Google Maps and academic researchers to compile the most complete collection of facility locations to date, and uses an established methodology to characterize travel time to healthcare facilities in unprecedented detail.

TL;DR: In this paper, the authors quantified the impacts of specific state-level policies on mobility and subsequent COVID-19 case trajectories using anonymized and aggregated mobility data from opted-in Google users.

TL;DR: In this paper, the authors describe the aggregation and anonymization process applied to the initial version of Google COVID-19 Community Mobility Reports (published at this http URL on April 2, 2020), a publicly available resource intended to help public health authorities understand what has changed in response to work-from-home, shelter-in-place, and other recommended policies aimed at flattening the curve of the COVID19 pandemic.

TL;DR: In this article, the authors used anonymized and aggregated mobility data from Google Location History users to estimate the impact of social distancing recommendations on bulk mobility among users who have opted into this service.