Time-series forecasting of mRDT-positive malaria counts in Tanzania’s lake zone: a comparative evaluation of statistical and machine-learning models using routine surveillance data, 2018–2025
- DOI
- 10.1186/s41182-026-01105-3
- Published
- 2026-11-06
- Container
- Tropical Medicine and Health
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s41182-026-01105-3,
title = {Time-series forecasting of mRDT-positive malaria counts in Tanzania’s lake zone: a comparative evaluation of statistical and machine-learning models using routine surveillance data, 2018–2025},
author = {Jonnes James Lugoye and Theresia Crispin Marijani and Idrissa Said Amour and Frank Enock Anderson},
year = {2026},
journal = {Tropical Medicine and Health},
doi = {10.1186/s41182-026-01105-3},
url = {https://doi.org/10.1186/s41182-026-01105-3}
}RIS
TY - JOUR TI - Time-series forecasting of mRDT-positive malaria counts in Tanzania’s lake zone: a comparative evaluation of statistical and machine-learning models using routine surveillance data, 2018–2025 AU - Jonnes James Lugoye AU - Theresia Crispin Marijani AU - Idrissa Said Amour AU - Frank Enock Anderson PY - 2026 JO - Tropical Medicine and Health DO - 10.1186/s41182-026-01105-3 UR - https://doi.org/10.1186/s41182-026-01105-3 ER -
APA
Lugoye, J. J., Marijani, T. C., Amour, I. S., & Anderson, F. E. (2026). Time-series forecasting of mRDT-positive malaria counts in Tanzania’s lake zone: a comparative evaluation of statistical and machine-learning models using routine surveillance data, 2018–2025. Tropical Medicine and Health. https://doi.org/10.1186/s41182-026-01105-3
Source records
- crossref · retrieved 2026-11-09T07:16:24.535Z