The Second Wave of the COVID-19 Pandemic in Poland – Characterised Using FDA Methods

Hęćka Patrycja ()
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Hęćka Patrycja: Wrocław University of Science and Technology, Wrocław, Poland

Econometrics. Advances in Applied Data Analysis, 2023, vol. 27, issue 3, 20-34

Abstract: The aim of this article was to analyse functional data of the number of hospitalised individuals, intensive care patients, positive COVID-19 tests, deaths and convalescents during the second wave of the COVID-19 pandemic in Poland. For this purpose, firstly the author convert data of sixteen voivodeships to smooth functions, and then used the principal component analysis and multiple function-on-function linear regression model to predict the number of hospitalised and intensive care patients due to the COVID-19 infection during the second wave of the pandemic. Finally, the results were compared with those previously obtained for the combined data of the second and third wave of the COVID-19 pandemic in Poland (Hęćka, 2023).

Keywords: function-on-function regression; functional data analysis (FDA); COVID-19; functional principal component analysis; smooth functions (search for similar items in EconPapers)
JEL-codes: C14 C38 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:eaiada:v:27:y:2023:i:3:p:20-34:n:3

DOI: 10.15611/eada.2023.3.02

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