Predicting the trend of indicators related to Covid-19 using the combined MLP-MC model

Fatemeh Haghighat

Chaos, Solitons & Fractals, 2021, vol. 152, issue C

Abstract: Although more than a year has passed since the coronavirus outbreak globally, the Covid-19 pandemic conditions still exist in many countries, including Iran. Predicting the number of future patients and deaths can help governments and policymakers make better decisions to enforce disease control restrictions. In this study, we aim to use a combined multilayer perceptron (MLP) neural network and Markov chain (MC) model to predict two indicators of the number of discharged and death cases according to their relationship with the number of hospitalized cases in Bushehr province, Iran. This hybrid model is called MLP-MC.

Keywords: Covid-19 related indicators; MLP model; MLP-MC model; Prediction (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:152:y:2021:i:c:s0960077921007530

DOI: 10.1016/j.chaos.2021.111399

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