Journal of Natural Science and Research Review (JNSRR)
Forecasting Typhoid Fever Cases using Decomposition Method, Holt-Winter’s Method, and Sarima Method
Adeniyi Oyewole Ogunmola; Yunusa Namale Jibo
16 September 2025 · Vol. 1, Issue 3, pp. 49-55
DOI: 10.65150/EP-jnsrr/V1E3/2025-A012
Abstract
This study compares the forecasting accuracy of the three univariate time series models, Decomposition, Winter’s and Seasonal autoregressive integrated moving average (SARIMA) method to predict also monthly typhoid fever cases. Secondary data is collected from Federal Medical Centre Jalingo and expl
Cite this article
Adeniyi Oyewole Ogunmola; Yunusa Namale Jibo (2025). Forecasting Typhoid Fever Cases using Decomposition Method, Holt-Winter’s Method, and Sarima Method. Journal of Natural Science and Research Review, 1(3), 49-55. https://doi.org/10.65150/EP-jnsrr/V1E3/2025-A012
@article{Adeniyi2025,
title = {Forecasting Typhoid Fever Cases using Decomposition Method, Holt-Winter’s Method, and Sarima Method},
author = {Adeniyi Oyewole Ogunmola; Yunusa Namale Jibo},
journal = {Journal of Natural Science and Research Review},
year = {2025},
volume = {1},
number = {3},
pages = {49-55},
doi = {10.65150/EP-jnsrr/V1E3/2025-A012},
url = {https://doi.org/10.65150/EP-jnsrr/V1E3/2025-A012}
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