Purpose The WHO's COVID-19 non-pharmaceutical interventions (e. g.
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arXiv:2606. 04562v1 Announce Type: new Abstract: Purpose The WHO's COVID-19 non-pharmaceutical interventions (e.
arXiv:2605. 26704v2 Announce Type: replace-cross Abstract: Epidemic forecasting faces a fundamental challenge: human behavior dynamically responds to disease spread, creating feedback loops that induce distribution shifts at policy intervention points.
arXiv:2607. 08793v1 Announce Type: cross Abstract: Sepsis is a leading cause of mortality, yet optimal treatment policies remain contested.
The paper introduces a signaling‑game framework to model how individuals strategically misreport behavioral data—such as mask usage and vaccination status—to public health authorities. It provides a generative model of such adversarial data and a method for authorities to recover reliable signals, analyzing equilibrium outcomes and evaluating how deception affects epidemic control. Large‑scale simulations and real‑world validation show that well‑designed sender and receiver strategies can still maintain effective epidemic control even with pervasive dishonesty, and that behavioral distortions often follow structured patterns rather than random noise.
arXiv:2606. 05692v1 Announce Type: new Abstract: Deep learning has enabled significant advances in time-series causal inference, yet progress remains constrained by the lack of realistic benchmarks with observable counterfactual outcomes.
arXiv:2607. 16916v1 Announce Type: new Abstract: Bladder cancer treatment requires personalized and adaptive decision-making, particularly for recurrent disease, where treatment effectiveness changes across successive clinical episodes.