Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020-Reference-Cited by-同舟云学术

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

Published:2020-03-12 Issue:10 Volume:25 Page:
ISSN:1560-7917
Container-title:Eurosurveillance
language:en
Short-container-title:

Author:

Li Cuilian¹,Chen Li Jia²,Chen Xueyu¹,Zhang Mingzhi¹,Pang Chi Pui²¹,Chen Haoyu¹^ORCID

Affiliation:

1. Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, China

2. Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Hong Kong, China

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.

Publisher

European Centre for Disease Control and Prevention (ECDC)

Subject

Virology,Public Health, Environmental and Occupational Health,Epidemiology

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