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

被引：199

作者：

Li, Cuilian ^{[1
,2
]}

Chen, Li Jia ^{[3
]}

Chen, Xueyu ^{[1
,2
]}

Zhang, Mingzhi ^{[1
,2
]}

Pang, Chi Pui ^{[1
,2
,3
]}

Chen, Haoyu ^{[1
,2
]}

机构：

[1] Shantou Univ, Joint Shantou Int Eye Ctr, Shantou, Peoples R China

[2] Chinese Univ Hong Kong, Shantou, Peoples R China

[3] Chinese Univ Hong Kong, Dept Ophthalmol & Visual Sci, Hong Kong, Peoples R China

来源：

EUROSURVEILLANCE | 2020年 / 25卷 / 10期

关键词：

D O I：

10.2807/1560-7917.ES.2020.25.10.2000199

中图分类号：

R51 [传染病];

学科分类号：

100401 ;

摘要：

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.

引用

页码：7 / 11

页数：5

共 10 条

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