Privacy-enhancing digital contact tracing with machine learning for pandemic response: a comprehensive review

CN Hang, YZ Tsai, PD Yu, J Chen, CW Tan - Big Data and Cognitive …, 2023‏ - mdpi.com
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 …

Contagion source detection in epidemic and infodemic outbreaks: Mathematical analysis and network algorithms

CW Tan, PD Yu - Foundations and Trends® in Networking, 2023‏ - nowpublishers.com
The rapid spread of infectious diseases and online rumors share similarities in terms of their
speed, scale, and patterns of contagion. Although these two phenomena have historically …

Privacy-preserving individual-level covid-19 infection prediction via federated graph learning

W Fu, H Wang, C Gao, G Liu, Y Li, T Jiang - ACM Transactions on …, 2024‏ - dl.acm.org
Accurately predicting individual-level infection state is of great value since its essential role
in reducing the damage of the epidemic. However, there exists an inescapable risk of …

Valid conformal prediction for dynamic gnns

E Davis, I Gallagher, DJ Lawson… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Graph neural networks (GNNs) are powerful black-box models which have shown
impressive empirical performance. However, without any form of uncertainty quantification, it …

[HTML][HTML] Large Language Models for Electronic Health Record De-Identification in English and German

S Sousa, M Jantscher, M Kröll, R Kern - Information, 2025‏ - mdpi.com
Electronic health record (EHR) de-identification is crucial for publishing or sharing medical
data without violating the patient's privacy. Protected health information (PHI) is abundant in …

Test allocation based on risk of infection from first and second order contact tracing

GB Soler, MD Felipe, G Gayraud - arxiv preprint arxiv:2311.02094, 2023‏ - arxiv.org
Under limited available resources, strategies for mitigating the propagation of an epidemic
such as random testing and contact tracing become inefficient. Here, we propose to …