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Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan: Big Data Analytics.
J Med Internet Res. 2020 05 05; 22(5):e19540.JM

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.

Authors+Show Affiliations

Executive Yuan, Taipei, Taiwan.Department of Cyber Security, Executive Yuan, Taipei, Taiwan.Department of Cyber Security, Executive Yuan, Taipei, Taiwan.Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.National Health Insurance Administration, Ministry of Health and Welfare, Taipei, Taiwan.National Health Insurance Administration, Ministry of Health and Welfare, Taipei, Taiwan.Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan.Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan.School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

32353827

Citation

Chen, Chi-Mai, et al. "Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan: Big Data Analytics." Journal of Medical Internet Research, vol. 22, no. 5, 2020, pp. e19540.
Chen CM, Jyan HW, Chien SC, et al. Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan: Big Data Analytics. J Med Internet Res. 2020;22(5):e19540.
Chen, C. M., Jyan, H. W., Chien, S. C., Jen, H. H., Hsu, C. Y., Lee, P. C., Lee, C. F., Yang, Y. T., Chen, M. Y., Chen, L. S., Chen, H. H., & Chan, C. C. (2020). Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan: Big Data Analytics. Journal of Medical Internet Research, 22(5), e19540. https://doi.org/10.2196/19540
Chen CM, et al. Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan: Big Data Analytics. J Med Internet Res. 2020 05 5;22(5):e19540. PubMed PMID: 32353827.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan: Big Data Analytics. AU - Chen,Chi-Mai, AU - Jyan,Hong-Wei, AU - Chien,Shih-Chieh, AU - Jen,Hsiao-Hsuan, AU - Hsu,Chen-Yang, AU - Lee,Po-Chang, AU - Lee,Chun-Fu, AU - Yang,Yi-Ting, AU - Chen,Meng-Yu, AU - Chen,Li-Sheng, AU - Chen,Hsiu-Hsi, AU - Chan,Chang-Chuan, Y1 - 2020/05/05/ PY - 2020/04/22/received PY - 2020/04/30/accepted PY - 2020/5/1/pubmed PY - 2020/5/12/medline PY - 2020/5/1/entrez KW - COVID-19 KW - big data KW - contact tracing KW - digital contact tracking KW - mobile geopositioning KW - precision public health KW - proximity tracing KW - public health KW - surveillance KW - virus SP - e19540 EP - e19540 JF - Journal of medical Internet research JO - J Med Internet Res VL - 22 IS - 5 N2 - 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. SN - 1438-8871 UR - https://www.unboundmedicine.com/medline/citation/32353827/Containing_COVID_19_Among_627386_Persons_in_Contact_With_the_Diamond_Princess_Cruise_Ship_Passengers_Who_Disembarked_in_Taiwan:_Big_Data_Analytics_ L2 - https://www.jmir.org/2020/5/e19540/ DB - PRIME DP - Unbound Medicine ER -