Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)
S. Bavadekar
Andrew M. Dai
John Davis
Damien Desfontaines
Ilya Eckstein
Katie Everett
Alex Fabrikant
Gerardo Flores
E. Gabrilovich
Krishna Gadepalli
Shane Glass
Rayman Huang
C. Kamath
Dennis Kraft
Akim Kumok
Hinali Marfatia
Yael Mayer
Benjamin Miller
Adam Pearce
Irippuge Milinda Perera
Venky Ramachandran
K. Raman
Thomas Roessler
Izhak Shafran
T. Shekel
Charlotte Stanton
Jacob Stimes
Mimi Sun
G. Wellenius
M. Zoghi

Abstract
This report describes the aggregation and anonymization process applied to the initial version of COVID-19 Search Trends symptoms dataset (published at https://goo.gle/covid19symptomdataset on September 2, 2020), a publicly available dataset that shows aggregated, anonymized trends in Google searches for symptoms (and some related topics). The anonymization process is designed to protect the daily symptom search activity of every user with -differential privacy for = 1.68.
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