Balancing Personal Privacy and Public Safety During COVID-19: The Case of South Korea

There has been vigorous debate on how different countries responded to the COVID-19 pandemic. To secure public safety, South Korea actively used personal information at the risk of personal privacy whereas France encouraged voluntary cooperation at the risk of public safety. In this article, after a brief comparison of contextual differences with France, we focus on South Korea’s approaches to epidemiological investigations. To evaluate the issues pertaining to personal privacy and public health, we examine the usage patterns of original data, de-identification data, and encrypted data. Our specific proposal discusses the COVID index, which considers collective infection, outbreak intensity, availability of medical infrastructure, and the death rate. Finally, we summarize the findings and lessons for future research and the policy implications.

[1]  Feipei Lai,et al.  Threat Analysis for Wearable Health Devices and Environment Monitoring Internet of Things Integration System , 2019, IEEE Access.

[2]  G. Gilbert,et al.  Communicable Disease Surveillance Ethics in the Age of Big Data and New Technology , 2019, Asian Bioethics Review.

[3]  M. Roser,et al.  Coronavirus Pandemic (COVID-19) , 2020 .

[4]  Hsiu-Hsi Chen,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 , 2020, Journal of medical Internet research.

[5]  Dong Hoon Lee,et al.  Schemes for Privacy Data Destruction in a NAND Flash Memory , 2019, IEEE Access.

[6]  B. Allegranzi,et al.  Managing COVID-19 in Low- and Middle-Income Countries. , 2020, JAMA.

[7]  K. Ramphul,et al.  Coronavirus Disease: A Review of a New Threat to Public Health , 2020, Cureus.

[8]  D. Mendelson,et al.  Legal Protections for Personal Health Information in the Age of Big Data – A Proposal for Regulatory Framework , 2017 .

[9]  P. Shahi,et al.  What can other countries learn from South Korea’s COVID-19 responses? , 2020 .

[10]  Mehmet Kayaalp,et al.  Modes of De-identification , 2017, AMIA.

[11]  G. Beebe Long-term follow-up is a problem. , 1983, American journal of public health.

[12]  Lidong Wang,et al.  Big Data, Cybersecurity, and Challenges in Healthcare , 2019, 2019 SoutheastCon.

[13]  G. Onder,et al.  Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy. , 2020, JAMA.

[14]  Public Health Ethics: Public health research ethics , 2011 .

[15]  Sangchul Park,et al.  Information Technology-Based Tracing Strategy in Response to COVID-19 in South Korea-Privacy Controversies. , 2020, JAMA.

[16]  P. Klepac,et al.  Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts , 2020, The Lancet Global Health.

[17]  W. Ko,et al.  Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges , 2020, International Journal of Antimicrobial Agents.

[18]  Long Jiang Zhang,et al.  Coronavirus Disease 2019 (COVID-19): A Perspective from China , 2020, Radiology.

[19]  Atif Alamri,et al.  Privacy-Preserved, Provable Secure, Mutually Authenticated Key Agreement Protocol for Healthcare in a Smart City Environment , 2019, IEEE Access.

[20]  Arun Kumar Sangaiah,et al.  SMSH: Secure Surveillance Mechanism on Smart Healthcare IoT System With Probabilistic Image Encryption , 2020, IEEE Access.

[21]  W. Price,et al.  Privacy in the age of medical big data , 2019, Nature Medicine.

[22]  M. Kayaalp Patient Privacy in the Era of Big Data , 2017, Balkan medical journal.

[23]  Luc Rocher,et al.  Estimating the success of re-identifications in incomplete datasets using generative models , 2019, Nature Communications.

[24]  C. Campèse,et al.  First cases of coronavirus disease 2019 (COVID-19) in France: surveillance, investigations and control measures, January 2020 , 2020, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[25]  Qingqing Lin,et al.  Coronavirus 2019-nCoV: A brief perspective from the front line , 2020, Journal of Infection.

[26]  Jingmin Xin,et al.  Predicting COVID-19 in China Using Hybrid AI Model , 2020, IEEE Transactions on Cybernetics.

[27]  W. V. Stiphout,et al.  Epidemiology in public health practice , 2012 .

[28]  Minglei Shu,et al.  Differential Privacy for Data and Model Publishing of Medical Data , 2019, IEEE Access.

[29]  William Bradley Glisson,et al.  Understanding De-identification of Healthcare Big Data , 2017, AMCIS.

[30]  Marcello Ienca,et al.  On the responsible use of digital data to tackle the COVID-19 pandemic , 2020, Nature Medicine.

[31]  Simson L. Garfinkel,et al.  De-Identification of Personal Information , 2015 .

[32]  D. Strech,et al.  Ethical issues in public health surveillance: a systematic qualitative review , 2017, BMC Public Health.

[33]  R. Agha,et al.  World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19) , 2020, International Journal of Surgery.

[34]  B. Mittelstadt,et al.  Is there a duty to participate in digital epidemiology? , 2018, Life sciences, society and policy.

[35]  Y. Komatsu Public Health Research Ethics: Clinical Registries and Informed Consent , 2010 .

[36]  W. Thompson,et al.  Privacy versus public health: the impact of current confidentiality rules. , 2010, American journal of public health.

[37]  Wookey Lee,et al.  De-identification and Privacy Issues on Bigdata Transformation , 2020, 2020 IEEE International Conference on Big Data and Smart Computing (BigComp).

[38]  M. Tay,et al.  The trinity of COVID-19: immunity, inflammation and intervention , 2020, Nature Reviews Immunology.

[39]  K. Rothman The epidemiologist's lament. , 1981, American journal of public health.

[40]  Chwan-Chuen King,et al.  Protecting Health Care Workers during the COVID-19 Coronavirus Outbreak –Lessons from Taiwan's SARS response , 2020, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[41]  Weier Wang,et al.  Updated understanding of the outbreak of 2019 novel coronavirus (2019‐nCoV) in Wuhan, China , 2020, Journal of medical virology.

[42]  H. Forman,et al.  Hospital Capacity and Operations in the Coronavirus Disease 2019 (COVID-19) Pandemic-Planning for the Nth Patient. , 2020, JAMA health forum.

[43]  Fabian Prasser,et al.  A Scalable and Pragmatic Method for the Safe Sharing of High-Quality Health Data , 2018, IEEE Journal of Biomedical and Health Informatics.

[44]  N. Linton,et al.  Serial interval of novel coronavirus (COVID-19) infections , 2020, International Journal of Infectious Diseases.

[45]  M. Palacios Cruz,et al.  COVID-19, una emergencia de salud pública mundial , 2020, Revista Clínica Española.

[46]  Colin Roberts,et al.  Flattening the curve on Covid-19 , 2020, Veterinary Record.

[47]  Norbert Pohlmann,et al.  Threat modeling for mobile health systems , 2018, 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[48]  Theodoros Evgeniou,et al.  Algorithms on regulatory lockdown in medicine , 2019, Science.

[49]  N. Hershey Putting the lamentations of epidemiologists in perspective. , 1982, American journal of public health.

[50]  B. Fitzgerald Guidance Regarding Methods for De-identification of Protected Health Information in Accordance with the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule , 2015 .

[51]  Marco De Nadai,et al.  Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle , 2020, Science Advances.

[52]  H. Rothan,et al.  The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak , 2020, Journal of Autoimmunity.

[53]  J. Ioannidis,et al.  What Other Countries Can Learn From Italy During the COVID-19 Pandemic. , 2020, JAMA internal medicine.

[54]  Mike Conway,et al.  Tracking Health Related Discussions on Reddit for Public Health Applications , 2017, AMIA.

[55]  Majid Alizadeh,et al.  Understanding epidemic data and statistics: A case study of COVID‐19 , 2020, medRxiv.

[56]  Rajib Shaw,et al.  Governance, technology and citizen behavior in pandemic: Lessons from COVID-19 in East Asia , 2020, Progress in Disaster Science.

[57]  Hong Fan,et al.  Optimization Method for Forecasting Confirmed Cases of COVID-19 in China , 2020, Journal of clinical medicine.