@文章{信息:doi/10.2196/19540，作者=“陈启迈和金妍，洪伟和简，施杰和仁，小萱和徐，陈振阳和李，宝昌和李，春福和杨，依婷和陈，孟玉和陈，李生和陈，秀熙和陈，长川”，标题=“与台湾钻石公主号邮轮下船乘客接触的627,386人中含有COVID-19:《大数据分析》，期刊=《J Med Internet Res》，年=“2020”，月=“5”，日=“5”，量=“22”，数=“5”，页数=“e19540”，关键词=“COVID-19;移动geopositioning;接触者追踪;距离跟踪;数字接触跟踪;大数据;公共卫生;精准公共卫生;监测; virus", abstract="Background: Low infection and case-fatality rates have been thus far observed in Taiwan. One of the reasons for this major success is better use of big data analytics in efficient contact tracing and management and surveillance of those who require quarantine and isolation. Objective: We present here a unique application of big data analytics among Taiwanese people who had contact with more than 3000 passengers that disembarked at Keelung harbor in Taiwan for a 1-day tour on January 31, 2020, 5 days before the outbreak of coronavirus disease (COVID-19) on the Diamond Princess cruise ship on February 5, 2020, after an index case was identified on January 20, 2020. Methods: The smart contact tracing--based mobile sensor data, cross-validated by other big sensor surveillance data, were analyzed by the mobile geopositioning method and rapid analysis to identify 627,386 potential contact-persons. Information on self-monitoring and self-quarantine was provided via SMS, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests were offered for symptomatic contacts. National Health Insurance claims big data were linked, to follow-up on the outcome related to COVID-19 among those who were hospitalized due to pneumonia and advised to undergo screening for SARS-CoV-2. Results: As of February 29, a total of 67 contacts who were tested by reverse transcription--polymerase chain reaction were all negative and no confirmed COVID-19 cases were found. Less cases of respiratory syndrome and pneumonia were found after the follow-up of the contact population compared with the general population until March 10, 2020. Conclusions: Big data analytics with smart contact tracing, automated alert messaging for self-restriction, and follow-up of the outcome related to COVID-19 using health insurance data could curtail the resources required for conventional epidemiological contact tracing. ", issn="1438-8871", doi="10.2196/19540", url="//www.mybigtv.com/2020/5/e19540/", url="https://doi.org/10.2196/19540", url="http://www.ncbi.nlm.nih.gov/pubmed/32353827" }