Concepedia

Regional Infoveillance of COVID-19 Case Rates: Analysis of Search-Engine Query Patterns

Henry C. Cousins, Clara C. Cousins, Alon Harris, Louis R. Pasquale

Journal of Medical Internet Research · 2020 · 38 citations · 13 references

Open access

Abstract

Identifiable patterns in search query activity may help to predict emerging regional outbreaks of COVID-19, although they remain vulnerable to stochastic changes in search intensity.

References

13

Detecting influenza epidemics using search engine query data

Jeremy Ginsberg, Matthew H. Mohebbi, Rajan Patel et al. · Nature · 2008 · 4.3K citations · Full text

Influenza Epidemics, Information Retrieval, Disease Surveillance +3

The Parable of Google Flu: Traps in Big Data Analysis

David Lazer, Ryan Kennedy, Gary King et al. · Science · 2014 · 2.5K citations · Full text

Engineering, Computational Epidemiology, Big Data Infrastructure +18

COVID-19: what is next for public health?

Nahoko Shindo · The Lancet · 2020 · 1.2K citations · Full text

Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study

Seyed Mohammad Ayyoubzadeh, Seyed Mehdi Ayyoubzadeh, Hoda Zahedi et al. · JMIR Public Health and Surveillance · 2020 · 407 citations · Full text

Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020

Cuilian Li, Li Jia Chen, Chen Xueyu et al. · Eurosurveillance · 2020 · 374 citations · Full text