Containing COVID-19 among 627,386 Persons Contacting with Diamond Princess Cruise Ship Passengers Disembarked in Taiwan: Big Data Analytics.

Clicks: 319
ID: 105694
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #159 of 296 articles by views in Journal of medical Internet research

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 296 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Low infection and case-fatality rate has been so far observed in Taiwan. One of major success is attributed to making a better use of big data analytics in efficient contacting tracing and management and surveillance of those who required quarantine and isolation.We present here a unique application with big data analytics to Taiwanese people who contacted with more than 3,000 passengers disembarked at Keelung dock, Taiwan for one-day tour on Jan. 31, 2020, five days before the outbreak of COVID-19 on the Diamond Princess cruise ship on Feb. 5 2020 after an index case identified on Jan. 20th.The smart contact tracing based mobile sensor data cross-validated by other big sensor surveillance data was used to identify 627,386 potential contact persons with the mobile geopositioning method and rapid analysis. Information on self-monitoring and self-quarantine was provided via short message service (SMS) message and SARS-CoV-2 test were offered for symptomatic contacts. National Health Insurance claimed big data were linked to follow up the outcome related to COVID-19 among those who were hospitalized due to pneumonia and advised to screen for SARS-CoV-2.As of Feb. 29, total 67 contacts who were had been tested by RT-PCR were all negative and no confirmed COVID-19 cases were found. Less respiratory syndrome cases and pneumonia also found after the follow-up of the contact population compared with the general population until Mar. 10.Big data analytics with smart contact tracing, automated alert message for self-restriction, and the follow-up of the outcome related to COVID-19 using health insurance data could curtail the resources required for conventional epidemiological contact tracing.
Reference Key
chen2020containingjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chen, Chi-Mai;Jyan, Hong-Wei;Chien, Shih-Chie;Jen, Hsiao-Hsuan;Hsu, Chen-Yang;Lee, Po-Chang;Lee, Chun-Fu;Yang, Yi-Ting;Chen, Meng-Yu;Chen, Li-Sheng;Chen, Hsiu-Hsi;Chan, Chang-Chuan;
Journal Journal of medical Internet research
Year 2020
DOI
10.2196/19540
URL
Keywords
testing covid-19 sars-cov-2 diagnosis

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.