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Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1)

Authors :
Aktay, Ahmet
Bavadekar, Shailesh
Cossoul, Gwen
Davis, John
Desfontaines, Damien
Fabrikant, Alex
Gabrilovich, Evgeniy
Gadepalli, Krishna
Gipson, Bryant
Guevara, Miguel
Kamath, Chaitanya
Kansal, Mansi
Lange, Ali
Mandayam, Chinmoy
Oplinger, Andrew
Pluntke, Christopher
Roessler, Thomas
Schlosberg, Arran
Shekel, Tomer
Vispute, Swapnil
Vu, Mia
Wellenius, Gregory
Williams, Brian
Wilson, Royce J
Publication Year :
2020

Abstract

This document describes the aggregation and anonymization process applied to the initial version of Google COVID-19 Community Mobility Reports (published at http://google.com/covid19/mobility 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 COVID-19 pandemic. Our anonymization process is designed to ensure that no personal data, including an individual's location, movement, or contacts, can be derived from the resulting metrics. The high-level description of the procedure is as follows: we first generate a set of anonymized metrics from the data of Google users who opted in to Location History. Then, we compute percentage changes of these metrics from a baseline based on the historical part of the anonymized metrics. We then discard a subset which does not meet our bar for statistical reliability, and release the rest publicly in a format that compares the result to the private baseline.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2004.04145
Document Type :
Working Paper