{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T11:54:01Z","timestamp":1782388441130,"version":"3.54.5"},"reference-count":27,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T00:00:00Z","timestamp":1648512000000},"content-version":"unspecified","delay-in-days":87,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"A Project Supported by Scientific Research Fund of Zhejiang Provincial Education Department","award":["NO. Y202043729"],"award-info":[{"award-number":["NO. Y202043729"]}]},{"name":"Jiaxing Fight Novel Coronavirus Pneumonia Emergency Technology Attack Special Project in 2020","award":["NO.2020GZ30001"],"award-info":[{"award-number":["NO.2020GZ30001"]}]},{"name":"The Key Discipline of Jiaxing Respiratory Medicine Construction Project","award":["No.2019-zc-04 & 2019-fc-03"],"award-info":[{"award-number":["No.2019-zc-04 & 2019-fc-03"]}]},{"name":"Scientific Technology Plan Program for Healthcare in Zhejiang Province","award":["NO. 2021KY1100"],"award-info":[{"award-number":["NO. 2021KY1100"]}]},{"name":"Jiaxing Key Laboratory for Precision Treatment of Lung Cancer."}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["Epidemiol. Infect."],"published-print":{"date-parts":[[2022]]},"abstract":"<jats:title>Abstract<\/jats:title>\n\t  <jats:p>Big data has been reported widely to facilitate epidemic prevention and control in health care during the coronavirus disease 2019 (COVID-19) pandemic. However, there is still a lack of practical experience in applying it to hospital prevention and control. This study is devoted to the practical experience of design and implementation as well as the preliminary results of an innovative big data-driven COVID-19 risk personnel screening management system in a hospital. Our screening system integrates data sources in four dimensions, which includes Health Quick Response (QR) code, abroad travelling history, transportation close contact personnel and key surveillance personnel. Its screening targets cover all patients, care partner and staff who come to the hospital. As of November 2021, nearly 690 000 people and 5.79 million person-time had used automated COVID-19 risk screening and monitoring. A total of 10 376 person-time (0.18%) with abnormal QR code were identified, 242 person-time with abroad travelling history were identified, 925 person-time were marked based on the data of key surveillance personnel, no transportation history personnel been reported and no COVID-19 nosocomial infection occurred in the hospital. Through the application of this system, the hospital's expenditure on manpower and material resources for epidemic prevention and control has also been significantly reduced. Collectively, this study has proved to be an effective and efficient model for the use of digital health technology in response to the COVID-19 pandemic. Based on the data from multiple sources, this system has an irreplaceable role in identifying close contacts or suspicious person, and can significantly reduce the social burden caused by COVID-19, especially the human resources and economic costs of hospital prevention and control. It may provide guidance for clinical epidemic prevention and control in hospitals, as well as for future public health emergencies.<\/jats:p>","DOI":"10.1017\/s0950268822000577","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T03:10:18Z","timestamp":1648523418000},"update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":7,"title":["The application framework of big data technology during the COVID-19 pandemic in China"],"prefix":"10.1017","volume":"150","author":[{"given":"Wenyu","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pingyang","family":"Shao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9740-1502","authenticated-orcid":false,"given":"Ye","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binjie","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2022,3,29]]},"reference":[{"key":"S0950268822000577_ref14","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph18116053"},{"key":"S0950268822000577_ref7","doi-asserted-by":"publisher","DOI":"10.2196\/21980"},{"key":"S0950268822000577_ref5","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph17093279"},{"key":"S0950268822000577_ref1","doi-asserted-by":"publisher","DOI":"10.2174\/1381612826666201222162509"},{"key":"S0950268822000577_ref8","doi-asserted-by":"publisher","DOI":"10.1093\/cid\/ciaa790"},{"key":"S0950268822000577_ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0065-308X(05)62009-X"},{"key":"S0950268822000577_ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-021-01757-0"},{"key":"S0950268822000577_ref18","doi-asserted-by":"publisher","DOI":"10.1093\/jtm\/taaa022"},{"key":"S0950268822000577_ref15","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abc0764"},{"key":"S0950268822000577_ref19","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2018.00090"},{"key":"S0950268822000577_ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-021-00923-y"},{"key":"S0950268822000577_ref20","doi-asserted-by":"publisher","DOI":"10.3934\/mbe.2020410"},{"key":"S0950268822000577_ref21","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph17249421"},{"key":"S0950268822000577_ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-021-01236-6"},{"key":"S0950268822000577_ref11","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1055\/s-0041-1726513","article-title":"The clinical information systems response to the COVID-19 pandemic","volume":"30","author":"Reeves","year":"2021","journal-title":"Yearbook of Medical Informatics"},{"key":"S0950268822000577_ref24","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1177\/1329878X20968277","article-title":"Comparative analysis of China's health code, Australia's COVIDSafe and New Zealand's COVID tracer surveillance apps: a new corona of public health governmentality?","volume":"178","author":"Fan","year":"2021","journal-title":"Media International Australia"},{"key":"S0950268822000577_ref13","unstructured":"13. P AK Does any country have \u2018a functioning track and trace app\u2019?. Available at https:\/\/fullfact.org\/health\/coronavirus-track-and-trace-app-boris-johnson\/ (Accessed 25 June 2020)."},{"key":"S0950268822000577_ref4","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2020.618494"},{"key":"S0950268822000577_ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.imr.2020.100487"},{"key":"S0950268822000577_ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2020.617166"},{"key":"S0950268822000577_ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s12204-020-2166-3"},{"key":"S0950268822000577_ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.trip.2020.100213"},{"key":"S0950268822000577_ref22","unstructured":"22. Huang, Y (2020) How digital contact tracing slowed COVID-19 in East Asia. Available at https:\/\/hbr.org\/2020\/04\/how-digital-contact-tracing-slowed-covid-19-in-east-asia (Accessed 7 July 2020)."},{"key":"S0950268822000577_ref12","unstructured":"12. 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