Selected publications
See the full publications list here.
2026
- Xu, S., Zhang, L., Jamison, A.M. et al. Comparing the algorithmic fidelity of large language models in predicting human decision making: a case study of vaccination choice. npj Digit. Public Health 1, 20 (2026). https://doi.org/10.1038/s44482-026-00026-6
- Zhao, Y., Zhao, Y., Du, H., and H, Yang. Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning. Advances in Neural Information Processing Systems 38 (NeurIPS 2025) (2025). https://doi.org/10.52202/085713-2988
2025
- Du H, Zahn MV, Loo SL, Alleman TW, Truelove S, Patenaude B, et al. (2025) Improving policy design and epidemic response using integrated models of economic choice and disease dynamics with behavioral feedback. PLoS Comput Biol 21(10): e1013549. https://doi.org/10.1371/journal.pcbi.1013549
- Du, H., Zhao, Y., Zhao, J. et al. Advancing real-time infectious disease forecasting using large language models. Nat Comput Sci 5, 467–480 (2025). https://doi.org/10.1038/s43588-025-00798-6
Before 2025
- Du H, Dong E, Badr HS et al. Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach. eBioMedicine 89, 104482 (2023). https://doi.org/10.1016/j.ebiom.2023.104482
- Badr HS, Du H, Marshall M et al. Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study. Lancet Infect Dis. 20, 1247–1254 (2020). https://doi.org/10.1016/S1473-3099(20)30553-3
- Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. 20, 533–534 (2020). https://doi.org/10.1016/S1473-3099(20)30120-1