ArticleAsian bioethics review2019
Communicable Disease Surveillance Ethics in the Age of Big Data and New Technology.
Article in Asian bioethics review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Ethical issues raised by artificial intelligence and big data in population health: a scoping review.Frontiers in sociology · 2025Pooled it
- Ethics, Integrity, and Retributions of Digital Detection Surveillance Systems for Infectious Diseases: Systematic Literature Review.Journal of medical Internet research · 2021Pooled it
- Monitoring systems for public health program and policy implementation in community settings: features and suggested actions from a scoping review.Implementation science : IS · 2026Article
- Towards responsible surveillance in preventive health data-AI research.PLOS digital health · 2025Article
- Using Laboratory Test Results for Surveillance During a New Outbreak of Acute Hepatitis in 3-Week- to 5-Year-Old Children in the United Kingdom, the Netherlands, Ireland, and Curaçao: Observational Cohort Study.JMIR public health and surveillance · 2024Observational
- Analysis of the Spread and Evolution of COVID-19 Mutations in Ecuador Using Open Data.Life (Basel, Switzerland) · 2024Article
- Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk.Regulation & governance · 2024Article
- China's COVID-19 pandemic response: A first anniversary assessment.Journal of contingencies and crisis management · 2022Article
- Knowledge, practices, and patterns of data confidentiality among pharmacists in a developing country.Heliyon · 2022Article
- Crisis management, surveillance, and digital ethics in the COVID-19 era.Journal of contingencies and crisis management · 2022Article
- Verification of De-Identification Techniques for Personal Information Using Tree-Based Methods with Shapley Values.Journal of personalized medicine · 2022Article
- Internet search data with spatiotemporal analysis in infectious disease surveillance: Challenges and perspectives.Frontiers in public health · 2022Article
- 'Personal Health Surveillance': The Use of mHealth in Healthcare Responsibilisation.Public health ethics · 2021Article
- Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic.Frontiers in digital health · 2021Review
- Changes in public preferences for technologically enhanced surveillance following the COVID-19 pandemic: a discrete choice experiment.BMJ open · 2020Article
- The Perfect Moral Storm: Diverse Ethical Considerations in the COVID-19 Pandemic.Asian bioethics review · 2020Article
- Community perspectives on the benefits and risks of technologically enhanced communicable disease surveillance systems: a report on four community juries.BMC medical ethics · 2020Article
- Healthcare Digitalization and Pay-For-Performance Incentives in Smart Hospital Project Financing.International journal of environmental research and public health · 2020Review
- Balancing Personal Privacy and Public Safety During COVID-19: The Case of South Korea.IEEE access : practical innovations, open solutions · 2020Article
- Big data in COVID-19 surveillance system: A commentary.Journal of education and health promotion · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surveillance is essential for communicable disease prevention and control. Traditional notification of demographic and clinical information, about individuals with selected (notifiable) infectious diseases, allows appropriate public health action and is protected by public health and privacy legislation, but is slow and insensitive. Big data-based electronic surveillance, by commercial bodies and government agencies (for profit or population control), which draws on a plethora of internet- and mobile device-based sources, has been widely accepted, if not universally welcomed. Similar anonymous digital sources also contain syndromic information, which can be analysed, using customised algorithms, to rapidly predict infectious disease outbreaks, but the data are nonspecific and predictions sometimes misleading. However, public health authorities could use these online sources, in combination with de-identified personal health data, to provide more accurate and earlier warning of infectious disease events-including exotic or emerging infections-even before the cause is confirmed, and allow more timely public health intervention. Achieving optimal benefits would require access to selected data from personal electronic health and laboratory (including pathogen genomic) records and the potential to (confidentially) re-identify individuals found to be involved in outbreaks, to ensure appropriate care and infection control. Despite existing widespread digital surveillance and major potential community benefits of extending its use to communicable disease control, there is considerable public disquiet about allowing public health authorities access to personal health data. Informed public discussion, greater transparency and an ethical framework will be essential to build public trust in the use of new technology for communicable disease control.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.