A robust compartmental modeling framework for infectious disease monitoring and analysis via fractional differential equations.
- DOI
- 10.1016/j.epidem.2026.100887
- Published
- 2026 Mar
- Container
- Epidemics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.epidem.2026.100887,
title = {A robust compartmental modeling framework for infectious disease monitoring and analysis via fractional differential equations.},
author = {Chishtie FA and Drozd J and Li X and Benterki A and Valluri SR},
year = {2026},
journal = {Epidemics},
doi = {10.1016/j.epidem.2026.100887},
url = {https://doi.org/10.1016/j.epidem.2026.100887}
}RIS
TY - JOUR TI - A robust compartmental modeling framework for infectious disease monitoring and analysis via fractional differential equations. AU - Chishtie FA AU - Drozd J AU - Li X AU - Benterki A AU - Valluri SR PY - 2026 JO - Epidemics DO - 10.1016/j.epidem.2026.100887 UR - https://doi.org/10.1016/j.epidem.2026.100887 ER -
APA
FA, C., J, D., X, L., A, B., & SR, V. (2026). A robust compartmental modeling framework for infectious disease monitoring and analysis via fractional differential equations.. Epidemics. https://doi.org/10.1016/j.epidem.2026.100887
Source records
- pubmed · retrieved 2026-09-25T17:48:27.846Z