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
收藏
页码：7 / 11
页数：5
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