ArticleIEEE access : practical innovations, open solutions2019
Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking.
Article in IEEE access : practical innovations, open solutions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases-A Systematic Literature Review.International journal of environmental research and public health · 2021Pooled it
- Spatiotemporal bidding for multi-energy systems with photovoltaic dominance: a scenario-based Stackelberg-Nash game formulation.Scientific reports · 2026Article
- Innovative public strategies in response to COVID-19: A review of practices from China.Health care science · 2024Review
- AI for Anglophone Africa: Unlocking its adoption for responsible solutions in academia-private sector.Frontiers in artificial intelligence · 2023Article
- Contact Tracing Research: A Literature Review Based on Scientific Collaboration Network.International journal of environmental research and public health · 2022Review
- User-Centric Proximity Estimation Using Smartphone Radio Fingerprinting.Sensors (Basel, Switzerland) · 2022Article
- HRNET: AI-on-Edge for Mask Detection and Social Distancing Calculation.SN computer science · 2022Article
- Empirical Analysis of the Dynamics of the COVID-19 Epidemic in Urban Embedded Social Networks.Frontiers in public health · 2022Article
- Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies.Health information science and systems · 2021Review
- COVID-19 and Your Smartphone: BLE-Based Smart Contact Tracing.IEEE systems journal · 2021Article
- How to control cruise ship disease risk? Inspiration from the research literature.Marine policy · 2021Article
- Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine.Computers in biology and medicine · 2021Article
- A Topical Collection on ICT for Health Science Research - EFMI Special Topic Conference.Journal of medical systems · 2021Article
- A spatiotemporal simulation study on the transmission of harmful microorganisms through connected healthcare workers in a hospital ward setting.BMC infectious diseases · 2021Article
- Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression.Computational and mathematical methods in medicine · 2021Article
- Citizen-Centered Mobile Health Apps Collecting Individual-Level Spatial Data for Infectious Disease Management: Scoping Review.JMIR mHealth and uHealth · 2020Article
- Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements.NPJ digital medicine · 2020Article
- A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing-Part II: Emerging Technologies and Open Issues.IEEE access : practical innovations, open solutions · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Contact tracking is one of the key technologies in prevention and control of infectious diseases. In the face of a sudden infectious disease outbreak, contact tracking systems can help medical professionals quickly locate and isolate infected persons and high-risk individuals, preventing further spread and a large-scale outbreak of infectious disease. Furthermore, the transmission networks of infectious diseases established using contact tracking technology can aid in the visualization of actual virus transmission paths, which enables simulations and predictions of the transmission process, assessment of the outbreak trend, and further development and deployment of more effective prevention and control strategies. Exploring effective contact tracking methods will be significant. Governments, academics, and industries have all given extensive attention to this goal. In this paper, we review the developments and challenges of current contact tracing technologies regarding individual and group contact from both static and dynamic perspectives, including static individual contact tracing, dynamic individual contact tracing, static group contact tracing, and dynamic group contact tracing. With the purpose of providing useful reference and inspiration for researchers and practitioners in related fields, directions in multi-view contact tracing, multi-scale contact tracing, and AI-based contact tracing are provided for next-generation technologies for epidemic prevention and control.
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Registered trials
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.