Real-world analysis of depression-related adverse events associated with the adsorbed anthrax vaccine: integrating pharmacovigilance signals, machine learning risk prediction, and transcriptomic mechanisms
- DOI
- 10.1186/s40249-026-01483-0
- Published
- 2026-08-10
- Container
- Infectious Diseases of Poverty
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s40249-026-01483-0,
title = {Real-world analysis of depression-related adverse events associated with the adsorbed anthrax vaccine: integrating pharmacovigilance signals, machine learning risk prediction, and transcriptomic mechanisms},
author = {Guangwei Qing and Yimei Zhao and Jian Yang and Gang Wang},
year = {2026},
journal = {Infectious Diseases of Poverty},
doi = {10.1186/s40249-026-01483-0},
url = {https://doi.org/10.1186/s40249-026-01483-0}
}RIS
TY - JOUR TI - Real-world analysis of depression-related adverse events associated with the adsorbed anthrax vaccine: integrating pharmacovigilance signals, machine learning risk prediction, and transcriptomic mechanisms AU - Guangwei Qing AU - Yimei Zhao AU - Jian Yang AU - Gang Wang PY - 2026 JO - Infectious Diseases of Poverty DO - 10.1186/s40249-026-01483-0 UR - https://doi.org/10.1186/s40249-026-01483-0 ER -
APA
Qing, G., Zhao, Y., Yang, J., & Wang, G. (2026). Real-world analysis of depression-related adverse events associated with the adsorbed anthrax vaccine: integrating pharmacovigilance signals, machine learning risk prediction, and transcriptomic mechanisms. Infectious Diseases of Poverty. https://doi.org/10.1186/s40249-026-01483-0
Source records
- crossref · retrieved 2026-09-25T15:25:02.966Z