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Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020
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View Affiliations Hide AffiliationsHaoyu Chendrchenhaoyu gmail.com
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Citation style for this article: . Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020. Euro Surveill. 2020;25(10):pii=2000199. https://doi.org/10.2807/1560-7917.ES.2020.25.10.2000199 Received: 26 Feb 2020; Accepted: 09 Mar 2020
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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