Optimising malaria and dengue case management through optimal diagnostic test allocation under budget constraints

Cédric S. Bationo, Mathieu R. Pooda

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DOI: 10.1016/j.mbs.2026.109817
Published: 2026-09
Container: Mathematical Biosciences
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.mbs.2026.109817,
  title = {Optimising malaria and dengue case management through optimal diagnostic test allocation under budget constraints},
  author = {Cédric S. Bationo and Mathieu R. Pooda},
  year = {2026},
  journal = {Mathematical Biosciences},
  doi = {10.1016/j.mbs.2026.109817},
  url = {https://doi.org/10.1016/j.mbs.2026.109817}
}

RIS

TY  - JOUR
TI  - Optimising malaria and dengue case management through optimal diagnostic test allocation under budget constraints
AU  - Cédric S. Bationo
AU  - Mathieu R. Pooda
PY  - 2026
JO  - Mathematical Biosciences
DO  - 10.1016/j.mbs.2026.109817
UR  - https://doi.org/10.1016/j.mbs.2026.109817
ER  -

APA

Bationo, C. S., & Pooda, M. R. (2026). Optimising malaria and dengue case management through optimal diagnostic test allocation under budget constraints. Mathematical Biosciences. https://doi.org/10.1016/j.mbs.2026.109817

Source records

crossref · retrieved 2026-09-27T07:48:59.085Z