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

Author

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  • Hęćka Patrycja

    (Wrocław University of Science and Technology, Wrocław, Poland)

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).

Suggested Citation

  • Hęćka Patrycja, 2023. "The Second Wave of the COVID-19 Pandemic in Poland – Characterised Using FDA Methods," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 27(3), pages 20-34, September.
    • Handle: 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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    More about this item

    Keywords

    function-on-function regression; functional data analysis (FDA); COVID-19; functional principal component analysis; smooth functions;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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