%0 Generic %1 aktay2020google %A Aktay, Ahmet %A Bavadekar, Shailesh %A Cossoul, Gwen %A Davis, John %A Desfontaines, Damien %A Fabrikant, Alex %A Gabrilovich, Evgeniy %A Gadepalli, Krishna %A Gipson, Bryant %A Guevara, Miguel %A Kamath, Chaitanya %A Kansal, Mansi %A Lange, Ali %A Mandayam, Chinmoy %A Oplinger, Andrew %A Pluntke, Christopher %A Roessler, Thomas %A Schlosberg, Arran %A Shekel, Tomer %A Vispute, Swapnil %A Vu, Mia %A Wellenius, Gregory %A Williams, Brian %A Wilson, Royce J %D 2020 %K #data %T Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1) %U http://arxiv.org/abs/2004.04145 %X 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.

@misc{aktay2020google, 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.}, added-at = {2020-11-16T23:14:07.000+0100}, author = {Aktay, Ahmet and Bavadekar, Shailesh and Cossoul, Gwen and Davis, John and Desfontaines, Damien and Fabrikant, Alex and Gabrilovich, Evgeniy and Gadepalli, Krishna and Gipson, Bryant and Guevara, Miguel and Kamath, Chaitanya and Kansal, Mansi and Lange, Ali and Mandayam, Chinmoy and Oplinger, Andrew and Pluntke, Christopher and Roessler, Thomas and Schlosberg, Arran and Shekel, Tomer and Vispute, Swapnil and Vu, Mia and Wellenius, Gregory and Williams, Brian and Wilson, Royce J}, biburl = {https://www.bibsonomy.org/bibtex/29d43687e3a8a0543486f2e0f0c39aa32/yihong-liu}, description = {Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1)}, interhash = {4fce914c82f95121bfd1a2e34c84d8c4}, intrahash = {9d43687e3a8a0543486f2e0f0c39aa32}, keywords = {#data}, note = {cite arxiv:2004.04145}, timestamp = {2020-11-16T23:14:07.000+0100}, title = {Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1)}, url = {http://arxiv.org/abs/2004.04145}, year = 2020 }