Cross-Country Learning for National Infectious Disease Forecasting Using European Data

arXiv:2601.20771 · q-bio.PE, cs.LG · Submitted 2026-01-28 · Read on arXiv

q-bio.PE, cs.LG

Submitted: 2026-01-28

Updated: 2026-09-17

Comments: 7 pages, 4 figures, 5 tables, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2026), Toronto, Canada

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 11× in this paper · explained in 2 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Time Series Forecasting — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Mean Absolute Error — 1× in this paper
• Mean Absolute Percentage Error — 1× in this paper
• Meta-learning — 1× in this paper · explained in 2 episodes
• World Health Organization — 1× in this paper

Sources

• Pandemic infection forecasting through compartmental model and learning-based approaches

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