Integrating machine learning and spatial clustering for malaria case prediction in Brazil's Legal Amazon.

Monteiro KHC, da Silva Rocha É, Morais LA, Santos EG, Neto SRDS, Sampaio V, Endo PT

DOI: 10.1186/s12879-025-11193-x
Published: 2025 Jun 8
Container: BMC infectious diseases
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12879-025-11193-x,
  title = {Integrating machine learning and spatial clustering for malaria case prediction in Brazil's Legal Amazon.},
  author = {Monteiro KHC and da Silva Rocha É and Morais LA and Santos EG and Neto SRDS and Sampaio V and Endo PT},
  year = {2025},
  journal = {BMC infectious diseases},
  doi = {10.1186/s12879-025-11193-x},
  url = {https://doi.org/10.1186/s12879-025-11193-x}
}

RIS

TY  - JOUR
TI  - Integrating machine learning and spatial clustering for malaria case prediction in Brazil's Legal Amazon.
AU  - Monteiro KHC
AU  - da Silva Rocha É
AU  - Morais LA
AU  - Santos EG
AU  - Neto SRDS
AU  - Sampaio V
AU  - Endo PT
PY  - 2025
JO  - BMC infectious diseases
DO  - 10.1186/s12879-025-11193-x
UR  - https://doi.org/10.1186/s12879-025-11193-x
ER  -

APA

KHC, M., É, D. S. R., LA, M., EG, S., SRDS, N., V, S., & PT, E. (2025). Integrating machine learning and spatial clustering for malaria case prediction in Brazil's Legal Amazon.. BMC infectious diseases. https://doi.org/10.1186/s12879-025-11193-x

Source records

pubmed · retrieved 2026-09-26T11:26:31.800Z