Predictive Modelling of Climate-Driven Malaria Transmission for Optimal Control Using a Coupled SEIR-SEI and GIS Framework.

Chivasa T, Dhlamini M, Maviza A, Nunu WN

DOI: 10.1002/puh2.70375
Published: 2026 Sep
Container: Public health challenges
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/puh2.70375,
  title = {Predictive Modelling of Climate-Driven Malaria Transmission for Optimal Control Using a Coupled SEIR-SEI and GIS Framework.},
  author = {Chivasa T and Dhlamini M and Maviza A and Nunu WN},
  year = {2026},
  journal = {Public health challenges},
  doi = {10.1002/puh2.70375},
  url = {https://doi.org/10.1002/puh2.70375}
}

RIS

TY  - JOUR
TI  - Predictive Modelling of Climate-Driven Malaria Transmission for Optimal Control Using a Coupled SEIR-SEI and GIS Framework.
AU  - Chivasa T
AU  - Dhlamini M
AU  - Maviza A
AU  - Nunu WN
PY  - 2026
JO  - Public health challenges
DO  - 10.1002/puh2.70375
UR  - https://doi.org/10.1002/puh2.70375
ER  -

APA

T, C., M, D., A, M., & WN, N. (2026). Predictive Modelling of Climate-Driven Malaria Transmission for Optimal Control Using a Coupled SEIR-SEI and GIS Framework.. Public health challenges. https://doi.org/10.1002/puh2.70375

Source records

pubmed · retrieved 2026-09-25T02:47:30.524Z