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Epidemiology and infection. 2020 Jun 5:148:e110. doi: 10.1017/S0950268820001193 Q22.22025

Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom

英国新冠病毒肺炎(COVID-19)的在线行为模式 翻译改进

M D Walker  1, M Sulyok  2  3

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作者单位

  • 1 Department of the Natural and Built Environment, Sheffield Hallam University, SheffieldS1 1WB, UK.
  • 2 Department of Pathology, Institute of Pathology and Neuropathology, Eberhard Karls University, Liebermeisterstr. 8, 72076Tübingen, Germany.
  • 3 Institute of Tropical Medicine, Eberhard Karls University, Wilhelmstr 27, 72074Tübingen, Germany.
  • DOI: 10.1017/S0950268820001193 PMID: 32498731

    摘要 Ai翻译

    The current coronavirus (COVID-19) pandemic offers a unique opportunity to conduct an infodemiological study examining patterns in online searching activity about a specific disease and how this relates to news media within a specific country. Google Trends quantifies volumes of online activity. The relative search volume was obtained for 'Coronavirus', 'handwashing', 'face mask' and symptom related keywords, for the United Kingdom, from the date of the first confirmed case until numbers peaked in April. The relationship between online search traffic and confirmed case numbers was examined. Search volumes varied over time; peaks appear related to events in the progression of the epidemic which were reported in the media. Search activity on 'Coronavirus' correlated well against confirmed case number as did 'face mask' and symptom-related keywords. User-generated online data sources such as Google Trends may aid disease surveillance, being more responsive to changes in disease occurrence than traditional disease reporting. The relationship between media coverage and online searching activity is rarely examined, but may be driving online behavioural patterns.

    Keywords: COVID-19; Coronavirus; infodemiology; respiratory disease; social media.

    Keywords:covid-19; online behaviour; patterns united kingdom

    Copyright © Epidemiology and infection. 中文内容为AI机器翻译,仅供参考!

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    期刊名:Epidemiology and infection

    缩写:EPIDEMIOL INFECT

    ISSN:0950-2688

    e-ISSN:1469-4409

    IF/分区:2.2/Q2

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    Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom