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

By Cuilian Li, L. J. Chen, Xueyu Chen, Mingzhi Zhang, C. Pang, H. Chen. Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2020

308 citations recorded by the source corpus.

The peak of Internet searches and social media data about the coronavirus disease 2019 (COVID-19) outbreak occurred 10–14 days earlier than the peak of daily incidences in China. Internet searches and social media data had high correlation with daily incidences, with the maximum r > 0.89 in all correlations. The lag correlations also showed a maximum correlation at 8–12 days for laboratory-confirmed cases and 6–8 days for suspected cases.

Subfields: Epidemiology, Modeling and Simulation, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/550ec6960cbf1ed642aad4da6f84e34d34086bc4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. M. Rashid
2. C. Goetzinger
3. L. Huiart
4. Gloria A. Aguayo
5. G. Fagherazzi

Citations in the corpus

• Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers (2020, background): “In China, internet searches and social media data related to COVID-19 have been shown to be highly correlated with daily disease incidence and exhibit an online peak 10 to 14 days before the peak of daily incidences in the real world [35].”