Google COVID-19 Vaccination Search Insights: Anonymization Process Description
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Abstract (arXiv)
This report describes the aggregation and anonymization process applied to the COVID-19 Vaccination Search Insights (published at http://goo.gle/covid19vaccinationinsights), a publicly available dataset showing aggregated and anonymized trends in Google searches related to COVID-19 vaccination. The applied anonymization techniques protect every user's daily search activity related to COVID-19 vaccinations with (varepsilon, δ)-differential privacy for varepsilon = 2.19 and δ = 10-5.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Jul 2021.
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Citing papers per year: 2022: 1; 2023: 3; 2024: 1.
5 papers.
- 2024General Geospatial Inference with a Population Dynamics Foundation Modelcited by 15
- 2022Data-Centric Epidemic Forecasting: A Surveycited by 8
- 2023Samplable Anonymous Aggregation for Private Federated Data Analysiscited by 6
- 2023Accurate Measures of Vaccination and Concerns of Vaccine Holdouts from Web Search Logscited by 3
- 2023Differential Privacy via Distributionally Robust Optimizationcited by 2
- 2024General Geospatial Inference with a Population Dynamics Foundation Model11 Nov 2024
- 2023Samplable Anonymous Aggregation for Private Federated Data Analysis27 Jul 2023
- 2023Accurate Measures of Vaccination and Concerns of Vaccine Holdouts from Web Search Logs12 Jun 2023
- 2023Differential Privacy via Distributionally Robust Optimization25 Apr 2023
- 2022Data-Centric Epidemic Forecasting: A Survey19 Jul 2022