Alliance for Pandemic Preparedness
July 22, 2020
Regional Infoveillance of COVID-19 Case Rates: Analysis of Search-Engine Query Patterns (Preprint)
Category: Article Summary
Topic: Modeling and Prediction
- Cousins et al. found high correlation between regional confirmed case data from the New York Times and Google Trends results 10 days prior in most states (January 21 to April 2, 2020), suggesting that search-engine query patterns may be able to predict case activity while being robust to differences in regional location, population, and date of outbreak.
Cousins et al. (July 19, 2020). Regional Infoveillance of COVID-19 Case Rates: Analysis of Search-Engine Query Patterns (Preprint). Journal of Medical Internet Research. https://doi.org/10.2196/19483