Your browser doesn't support javascript.
Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan: Big Data Analytics.
Chen, Chi-Mai; Jyan, Hong-Wei; Chien, Shih-Chieh; 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.
  • Chen CM; Executive Yuan, Taipei, Taiwan.
  • Jyan HW; Department of Cyber Security, Executive Yuan, Taipei, Taiwan.
  • Chien SC; Department of Cyber Security, Executive Yuan, Taipei, Taiwan.
  • Jen HH; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
  • Hsu CY; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
  • Lee PC; National Health Insurance Administration, Ministry of Health and Welfare, Taipei, Taiwan.
  • Lee CF; National Health Insurance Administration, Ministry of Health and Welfare, Taipei, Taiwan.
  • Yang YT; Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan.
  • Chen MY; Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan.
  • Chen LS; School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
  • Chen HH; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
  • Chan CC; Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan.
J Med Internet Res ; 22(5): e19540, 2020 05 05.
Article in English | MEDLINE | ID: covidwho-174968
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Ships / Quarantine / Disease Outbreaks / Contact Tracing / Coronavirus Infections / Pandemics / Public Health Surveillance / Big Data Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: 19540

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Ships / Quarantine / Disease Outbreaks / Contact Tracing / Coronavirus Infections / Pandemics / Public Health Surveillance / Big Data Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: 19540