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Statistical, machine learning, and deep learning models for COVID-19 forecasting in Kenya Cover

Statistical, machine learning, and deep learning models for COVID-19 forecasting in Kenya

Computational and Mathematical Biophysics
Volume 13 (2025): Issue 1 (January 2025)
By: Joyce Kiarie,  Samuel Musili Mwalili,  Rachel Mbogo,  John Kamwele Mutinda and  Amos Kipkorir Langat  
Open Access
|Sep 2025
DOI: https://doi.org/10.1515/cmb-2025-0026 | Journal eISSN: 2544-7297
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Language: English
Submitted on: Apr 18, 2025
Accepted on: Jul 23, 2025
Published on: Sep 15, 2025
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Keywords:
COVID-19 forecasting,
random forest,
ARIMA,
GRU,
machine learning,
deep learning,
Kenya
Related subjects:
Physics,
Biophysics,
Mathematics,
Applied mathematics,
Life sciences,
Molecular biology,
Chemistry,
Computational chemistry and molecular modeling

© 2025 Joyce Kiarie, Samuel Musili Mwalili, Rachel Mbogo, John Kamwele Mutinda, Amos Kipkorir Langat, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.

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