<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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).</p>
</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).

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

Wrocław University of Science and Technology

Econometrics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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...

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

Data publikacji: 11 gru 2023

Zakres stron: 20 - 34

DOI: https://doi.org/10.15611/eada.2023.3.02

Słowa kluczowe
function-on-function regression, functional data analysis (FDA), COVID-19, functional principal component analysis, smooth functions

© 2023 Patrycja Hęćka, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Data publikacji: 11 gru 2023

Zakres stron: 20 - 34

DOI: https://doi.org/10.15611/eada.2023.3.02

Słowa kluczowefunction-on-function regression, functional data analysis (FDA), COVID-19, functional principal component analysis, smooth functions

© 2023 Patrycja Hęćka, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
function-on-function regression, functional data analysis (FDA), COVID-19, functional principal component analysis, smooth functions