Multi-model large-scale AI framework for avian influenza surveillance and preparedness: Harnessing large language models to enhance risk communication, real-time decision support, and public health response strategies.
- DOI
- 10.1016/j.onehlt.2026.101357
- Published
- 2026-02-10
- Container
- One Health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.onehlt.2026.101357,
title = {Multi-model large-scale AI framework for avian influenza surveillance and preparedness: Harnessing large language models to enhance risk communication, real-time decision support, and public health response strategies.},
author = {Kong JD and Gillies M and Gardner E and Bragazzi NL.},
year = {2026},
journal = {One Health},
doi = {10.1016/j.onehlt.2026.101357},
url = {https://doi.org/10.1016/j.onehlt.2026.101357}
}RIS
TY - JOUR TI - Multi-model large-scale AI framework for avian influenza surveillance and preparedness: Harnessing large language models to enhance risk communication, real-time decision support, and public health response strategies. AU - Kong JD AU - Gillies M AU - Gardner E AU - Bragazzi NL. PY - 2026 JO - One Health DO - 10.1016/j.onehlt.2026.101357 UR - https://doi.org/10.1016/j.onehlt.2026.101357 ER -
APA
JD, K., M, G., E, G., & NL., B. (2026). Multi-model large-scale AI framework for avian influenza surveillance and preparedness: Harnessing large language models to enhance risk communication, real-time decision support, and public health response strategies.. One Health. https://doi.org/10.1016/j.onehlt.2026.101357
Source records
- europe-pmc · retrieved 2026-09-27T05:55:29.320Z
- doaj · retrieved 2026-09-27T05:55:29.340Z