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This paper presents a transferable learned temporal prior for outbreak transmission reconstruction, demonstrating improved performance on a real Andes virus benchmark and highlighting the importance of quantifying uncertainty in transmission labels.
This article demonstrates how to model the COVID-19 outbreak using the SEIRS model implemented in the J programming language, explaining the states and variables involved.
This paper proposes a bilayer coupled SIR/SIRS framework to model synthetic data contamination and model collapse in AI ecosystems, showing that cross-contamination between models and data corpora leads to supercritical dynamics and identifying detection-based filtering as a key intervention.
This paper introduces CAST, a polynomial-time approximation algorithm for strategically allocating HIV treatment resources to virally unsuppressed individuals in a transmission network to minimize new infections, outperforming existing baselines on real-world networks.
Google DeepMind introduces a computational discovery prototype that uses AlphaEvolve and Empirical Research Assistance to develop and score thousands of code variations in parallel, enabling faster testing of modelling approaches for epidemiology.
HantaWatch provides a real-time tracker for the MV Hondius hantavirus outbreak, detailing confirmed cases, international health responses, and expert analysis on transmission risks.