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Quantitative Methods in DemographyPredicting the Second Wave of COVID-19 Pandemic Through the Dynamic Evolving Neuro Fuzzy Inference System

Quantitative Methods in Demography: Predicting the Second Wave of COVID-19 Pandemic Through the... [In this paper, we make a prediction of the second wave of COVID-19 using a dynamic evolving neuro-fuzzy inference system (DENFIS). The model choice is motivated by the fact that the spread of the pandemic must be read in its dynamism and every prediction cannot ignore the daily updating of available data and new information. We provide results of the prediction of the second wave of COVID-19 across Europe, soliciting to update the model day by day as new information occurs. The study offers to public health stakeholders and Governments a useful tool to analyze the effectiveness of the virus containment measures in the short run and for controlling the COVID-19 spread.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Quantitative Methods in DemographyPredicting the Second Wave of COVID-19 Pandemic Through the Dynamic Evolving Neuro Fuzzy Inference System

Part of the The Springer Series on Demographic Methods and Population Analysis Book Series (volume 52)
Editors: Skiadas, Christos H.; Skiadas, Charilaos
Levantesi, Susanna; Nigri, Andrea; Piscopo, Gabriella
Quantitative Methods in Demography — May 31, 2022
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References (2)

  • SF Ardabili (2020)

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    Algorithms, 13

  • A Alsayed (2020)

    4076

    International Journal of Environmental Research and Public Health, 17

Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-030-93004-2
Pages
37 –46
DOI
10.1007/978-3-030-93005-9_3
Publisher site
See Chapter on Publisher Site

Abstract

[In this paper, we make a prediction of the second wave of COVID-19 using a dynamic evolving neuro-fuzzy inference system (DENFIS). The model choice is motivated by the fact that the spread of the pandemic must be read in its dynamism and every prediction cannot ignore the daily updating of available data and new information. We provide results of the prediction of the second wave of COVID-19 across Europe, soliciting to update the model day by day as new information occurs. The study offers to public health stakeholders and Governments a useful tool to analyze the effectiveness of the virus containment measures in the short run and for controlling the COVID-19 spread.]

Published: May 31, 2022

Keywords: Adaptive algorithm; COVID-19; Fuzzy systems; Predictive methods

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