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, Mingzhi Zhang, Chi Pui Pang, Haoyu Chen
Abstract
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.
Topics & Concepts
OutbreakCoronavirus disease 2019 (COVID-19)The InternetSocial mediaChinaLagDemography2019-20 coronavirus outbreakMedicineGeographyStatisticsInternal medicineDiseaseVirologyComputer scienceSociologyMathematicsInfectious disease (medical specialty)World Wide WebArchaeologyComputer networkData-Driven Disease SurveillanceMisinformation and Its ImpactsCOVID-19 epidemiological studies