Author

J. Cui

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Book Open access Aug 2026

epiDAMIK 2026: Workshop on Data-driven Decision Making for Public and Population Health

The epiDAMIK workshop serves as a platform for advancing the utilization of data-driven methods in the fields of epidemiology and public health research, providing a valuable avenue for sharing state-of-the-art research and ongoing projects.

Alexander Rodríguez, B. Adhikari, A. Srivastava et al. · Proceedings of the 32nd ACM... · 0 citations

#machine learning Feb 2026

How (Not) to Hybridize Neural and Mechanistic Models for Epidemiological Forecasting

This work decomposes infections into trend, seasonal, and residual components and uses these signals to drive continuous-time latent dynamics while jointly forecasting and inferring time-varying transmission, recovery, and immunity-loss rates.

Yiqi Su, R. Lee, J. Cui et al. · arXiv.org · 1 citation