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Can Search Query Forecast successfully in China's 2019-nCov pneumonia?

机译:能够成功搜索查询预测了中国2019 - nCov肺炎?

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摘要

Recently the novel coronavirus (2019-nCov) pneumonia outbreak in China then the world, and the Number of infections and death continues to increases. Search Query performs well in forecasting the epidemics. It is still a question whether search engine data can forecast the drift and the inflexion in 2019-nCov pneumonia. Based on the Baidu Search Index, we propose three prediction models: composite Index, composite Index with filtering and suspected NCP(Novel Coronavirus Pneumonia). The result demonstrates that the predictive model of composite index with filtering performs the best while the model of suspected NCP has the highest forecast error. We further predict the out-of-the-set NCP confirmed cases and monitor that the next peak of new diagnoses will occur on February 16th and 17th.### Competing Interest StatementThe authors have declared no competing interest.### Funding StatementThis research is funded by Anhui Natural Science Foundation (No.1908085QG305)### Author DeclarationsAll relevant ethical guidelines have been followed; any necessary IRB and/or ethics committee approvals have been obtained and details of the IRB/oversight body are included in the manuscript.YesAll necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).YesI have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.Yesthe new confirmed cases and the new suspected cases is availabe from National Health Commission of China. The Baidu search engines data is available from the Baidu Website.

著录项

  • 作者

    Li Xiaoxuan; Wu Qi; Lv Benfu;

  • 作者单位

    Fuyang Normal University, China;Fuyang Normal University;University of the Chinese Academy of Sciences;;

  • 年度 2020
  • 总页数 10
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医药、卫生;

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