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June 28, 2024HeliyonOpen Access

Comparative performance of hybrid model based on discrete wavelet transform and ARIMA models in prediction incidence of COVID-19

Kourosh Holakouie‐Naieni Mojtaba Sepandi Babak Eshrati Shahrzad Nematollahi Yousef Alimohamadi

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Abstract

Public health surveillance is an important aspect of outbreak early warning based on prediction models. The present study compares a hybrid model based on discrete wavelet transform (DWT) and ARIMA (Autoregressive Integrated Moving Average) for predicting incidence cases due to COVID-19.

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Cite This Study

Holakouie‐Naieni et al. (2024) studied this question.

synapsesocial.com/papers/68e62c14b6db6435875be0ec https://doi.org/10.1016/j.heliyon.2024.e33848

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