Cost-effectiveness analysis of Mpox control policies: A hybrid rough set-machine learning approach.

Sinha AK, Namdev N, Kushavaha SK

DOI: 10.1016/j.compbiolchem.2026.109502
Published: 2026 Oct 26
Container: Computational biology and chemistry
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1016/j.compbiolchem.2026.109502,
  title = {Cost-effectiveness analysis of Mpox control policies: A hybrid rough set-machine learning approach.},
  author = {Sinha AK and Namdev N and Kushavaha SK},
  year = {2026},
  journal = {Computational biology and chemistry},
  doi = {10.1016/j.compbiolchem.2026.109502},
  url = {https://doi.org/10.1016/j.compbiolchem.2026.109502}
}

RIS

TY  - JOUR
TI  - Cost-effectiveness analysis of Mpox control policies: A hybrid rough set-machine learning approach.
AU  - Sinha AK
AU  - Namdev N
AU  - Kushavaha SK
PY  - 2026
JO  - Computational biology and chemistry
DO  - 10.1016/j.compbiolchem.2026.109502
UR  - https://doi.org/10.1016/j.compbiolchem.2026.109502
ER  -

APA

AK, S., N, N., & SK, K. (2026). Cost-effectiveness analysis of Mpox control policies: A hybrid rough set-machine learning approach.. Computational biology and chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109502

Source records

pubmed · retrieved 2026-11-10T21:08:17.429Z
europe-pmc · retrieved 2026-11-10T21:08:17.431Z