Epidemic Forecasting

Latest papers 26

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  1. Planetary Geospatial Foundation Models: A New Paradigm for Global Public Health

    Oct 5, 2026Arbaaz Muslim, Aviv Slobodkin, Katherine Wheeler-Martin +35Epidemic ForecastingGeospatial Foundation Models

  2. Hybrid epidemic simulation framework coupling equation-based and individual-based models

    Sep 28, 2026Jaeyoung Kwak, Michael H. Lees, Chin Chun Ooi +1Epidemic ForecastingAgent-Based Modeling

  3. Machine Learning and ARIMA Model Averaging for Adaptive Public Health Forecasting: Comparative Evaluation and an Ontario COVID-19 Case Study

    Aug 7, 2026Yushu Zou, Ye Li, Johra Moosa +3Epidemic ForecastingGradient-Boosted Decision Trees

  4. EpiFlow: A framework for improving the utility of wastewater signals for disease forecasting

    Aug 7, 2026Aniruddha Adiga, Jingyuan Chou, Gursharn Kaur +8Epidemic ForecastingProbabilistic Forecasting

  5. TREA-Net: A Transferable Residual Epidemiological Adaptation Network for Dengue Incidence Forecasting

    Jul 29, 2026Inesh Shukla, Madhurima Panja, Tanujit Chakraborty +1Epidemic ForecastingResidual Learning

  6. GeoID-PINN: Identifiability-Aware Regional Epidemic Inference with Geographic Coupling

    Jul 28, 2026Weixiong Hua, Fan BuEpidemic ForecastingParameter Identifiability

  7. Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting

    Jul 13, 2026Rahul Goswami, Shinjini Paul, Palash Ghosh +1Epidemic ForecastingReservoir Computing

  8. Beyond Time Series: Spatial Reasoning for Epidemic Forecasting via Multimodal Learning

    Jun 20, 2026Diana Guadalupe Gomez, Chenwei Wu, Zhiyi Wang +2Epidemic ForecastingSpatiotemporal Reasoning

  9. Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting

    Jun 17, 2026Alireza Jafari, Judy Fox, Geoffrey C. Fox +2Epidemic ForecastingLLM-Based Time Series Forecasting

  10. Bayesian Selective Latent Inference for Wastewater-First Influenza Monitoring

    Jun 8, 2026Yixuan Zhang, Yang Song, Hao Wang +2Epidemic ForecastingSelective Prediction

  11. EpiEvolve: Self-Evolving Agents for Streaming Pandemic Forecasting under Regime Shifts

    Jun 3, 2026Yiming Lu, Sihang Zeng, Zhengxu Tang +3Epidemic ForecastingTime Series Forecasting

  12. Bayesian Inference of Nonlinear Malaria Dynamics in Ghana via an Ensemble Markov Chain Monte Carlo Sampler

    May 30, 2026T. Ansah-Narh, Y. Asare Afrane, J. Bremang TandohEpidemic ForecastingBayesian Inference

  13. Spatio-temporal stochastic graph-based learning for infectious disease forecasting

    May 28, 2026Luz Stefani Sotomayor Valenzuela, Susanna Cramb, Darren WraithEpidemic ForecastingProbabilistic Forecasting

  14. Transfer Learning using 66 Diseases for Disease Forecasting Applications

    May 26, 2026Lauren J Beesley, Alexander C Murph, Dave Osthus +1Multivariate Time Series ForecastingEpidemic Forecasting

  15. SL-BiLEM: Structured Learnable Behavior-in-the-Loop Epidemic Modeling for Forecasting and Policy Evaluation

    May 26, 2026Haochun Wang, Sendong Zhao, Jingbo Wang +3Epidemic ForecastingDistribution Shift

  16. Prospective multi-pathogen disease forecasting using autonomous LLM-guided tree search

    May 15, 2026Sarah Martinson, Michael P. Brenner, Martyna Plomecka +3Epidemic ForecastingLarge Language Model-Guided Optimization

  17. EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting

    May 12, 2026Madhurima Panja, Danny D'Agostino, Huitao Li +2Multivariate Time Series ForecastingEpidemic Forecasting

  18. Koopman Representations for Early Outbreak Warning and Minimal Counterfactual Intervention in Multi-Agent Epidemic Simulations

    May 3, 2026Florin LeonEpidemic ForecastingAgent-Based Modeling

  19. Generative diffusion models for spatiotemporal influenza forecasting

    Apr 27, 2026Joseph Lemaitre, Justin LesslerEpidemic ForecastingSpatiotemporal Forecasting

  20. IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem

    Apr 20, 2026Aniruddha Adiga, Jingyuan Chou, Anshul Chiranth +7Epidemic ForecastingForecasting Benchmarks

  21. Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics

    Mar 7, 2026Rajdeep Pathak, Tanujit ChakrabortyEpidemic ForecastingSpatiotemporal Forecasting

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

    Feb 6, 2026Yiqi Su, Ray Lee, Jiaming Cui +1Epidemic ForecastingNon-Stationary Time Series Forecasting

  23. Auditable Context-Aware HFMD Forecasting with Structured LLM Agents

    Nov 28, 2025Joongwon Chae, Runming Wang, Chen Xiong +5Epidemic ForecastingExplainable Time Series Forecasting