| Autor: |
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 |
| Rok vydání: |
2020 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| Popis: |
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. |
| Databáze: |
arXiv |
| Externí odkaz: |
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