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Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020.
Li, Cuilian; Chen, Li Jia; Chen, Xueyu; Zhang, Mingzhi; Pang, Chi Pui; Chen, Haoyu.
  • Li C; Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, China.
  • Chen LJ; Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Hong Kong, China.
  • Chen X; Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, China.
  • Zhang M; Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, China.
  • Pang CP; Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, China.
  • Chen H; Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Hong Kong, China.
Euro Surveill ; 25(10)2020 03.
Article in English | MEDLINE | ID: covidwho-7791
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Population Surveillance / Disease Outbreaks / Coronavirus Infections / Internet / Search Engine / Social Media / Web Browser / Laboratories Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal subject: Communicable Diseases Year: 2020 Document Type: Article Affiliation country: 1560-7917.ES.2020.25.10.2000199

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Population Surveillance / Disease Outbreaks / Coronavirus Infections / Internet / Search Engine / Social Media / Web Browser / Laboratories Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal subject: Communicable Diseases Year: 2020 Document Type: Article Affiliation country: 1560-7917.ES.2020.25.10.2000199