Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review

Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review

The rapid global spread of the coronavirus disease (COVID-19) has severely impacted daily life worldwide. As potential solutions, various digital contact tracing (DCT) strategies have emerged to mitigate the virus’s spread while maintaining economic and social activities. The computational epidemiol...

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Bibliographic Details
Main Authors: Ching-Nam Hang, Yi-Zhen Tsai, Pei-Duo Yu, Jiasi Chen, Chee-Wei Tan
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Big Data and Cognitive Computing
Subjects:
digital contact tracing
COVID-19
computational epidemiology
machine learning
Online Access:https://www.mdpi.com/2504-2289/7/2/108

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