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

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

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 c...

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Veröffentlicht in:Euro surveillance : bulletin européen sur les maladies transmissibles 2020-03, Vol.25 (10), p.7
Hauptverfasser: Li, Cuilian, Chen, Li Jia, Chen, Xueyu, Zhang, Mingzhi, Pang, Chi Pui, Chen, Haoyu
Format: Artikel
Sprache:eng
Schlagworte:
Coronaviruses
COVID-19
Epidemics
Infectious diseases
Predictions
Respiratory diseases
Searches
Social networks
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Zusammenfassung: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.
ISSN:1025-496X
1560-7917
DOI:10.2807/1560-7917.ES.2020.25.10.2000199