Use of topological data analysis for the detection of phenomenological bifurcations in stochastic epidemiological models.

Tanweer S, Mamis K, Khasawneh FA

Open source

DOI
10.1016/j.mbs.2026.109810
Published
2026 Sep 13
Container
Mathematical biosciences
Publisher
arXiv
Open access
yes

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BibTeX

@article{allodium:10.1016/j.mbs.2026.109810,
  title = {Use of topological data analysis for the detection of phenomenological bifurcations in stochastic epidemiological models.},
  author = {Tanweer S and Mamis K and Khasawneh FA},
  year = {2026},
  journal = {Mathematical biosciences},
  doi = {10.1016/j.mbs.2026.109810},
  url = {https://doi.org/10.1016/j.mbs.2026.109810}
}

RIS

TY  - JOUR
TI  - Use of topological data analysis for the detection of phenomenological bifurcations in stochastic epidemiological models.
AU  - Tanweer S
AU  - Mamis K
AU  - Khasawneh FA
PY  - 2026
JO  - Mathematical biosciences
DO  - 10.1016/j.mbs.2026.109810
UR  - https://doi.org/10.1016/j.mbs.2026.109810
ER  - 

APA

S, T., K, M., & FA, K. (2026). Use of topological data analysis for the detection of phenomenological bifurcations in stochastic epidemiological models.. Mathematical biosciences. https://doi.org/10.1016/j.mbs.2026.109810

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