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

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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

Authors

Joyce Kiarie

jckiarie@strathmore.edu

Institute of Mathematical Science, Strathmore University, Nairobi, Kenya

Samuel Musili Mwalili

smusili@jkuat.ac.ke

Institute of Mathematical Science, Strathmore University, Nairobi, Kenya

Department of Statistics and Actuarial Science, Jomo Kenyatta University of Agriculture and Technology (JKUAT), P.O. Box 62000-00200, Nairobi, Kenya

Rachel Mbogo

rmbogo@strathmore.edu

Institute of Mathematical Science, Strathmore University, Nairobi, Kenya

John Kamwele Mutinda

john.mutinda@aims.ac.rw

Department of Mathematical Sciences, Institute for Mathematical Sciences, Mbour-Thies, Senegal

Amos Kipkorir Langat

amos.langat@jkuat.ac.ke

Department of Statistics and Actuarial Science, Jomo Kenyatta University of Agriculture and Technology (JKUAT), P.O. Box 62000-00200, Nairobi, Kenya

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,

machine learning,

Related subjects:

Applied mathematics,

Molecular biology,

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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