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回顾性分析 2020 年中国从互联网搜索和社交媒体数据预测 COVID-19 疫情爆发的可能性。

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

机构信息

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

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

出版信息

Euro Surveill. 2020 Mar;25(10). doi: 10.2807/1560-7917.ES.2020.25.10.2000199.

DOI:10.2807/1560-7917.ES.2020.25.10.2000199
PMID:32183935
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7078825/
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.

摘要

新冠病毒疾病 2019（COVID-19）爆发的互联网搜索和社交媒体数据峰值比中国每日新增病例的峰值早 10-14 天。互联网搜索和社交媒体数据与每日新增病例具有高度相关性，所有相关性的 r 值均>0.89。滞后相关性也显示出实验室确诊病例的最大相关性为 8-12 天，疑似病例为 6-8 天。

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