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

• Authors: Patrycja Hęćka

Title variants

PL

Druga fala COVID-19 w Polsce - charakterystyka z zastosowaniem metod FDA

Abstracts

PL

Głównym celem artykułu była analiza danych funkcjonalnych dotyczących liczby pozytywnych wyników testu, zgonów, ozdrowieńców, osób hospitalizowanych oraz w stanie ciężkim podczas drugiej fali pandemii COVID-19 w Polsce. Pierwszym krokiem była konwersja danych w funkcje gładkie. Następnie przedstawiono analizę głównych składowych funkcjonalnych oraz użycie modelu multiple function-on-function linear regression w celu predykcji liczby osób hospitalizowanych oraz będących w stanie ciężkim z powodu COVID-19 w polskich województwach. Otrzymane wyniki porównano z wcześniej uzyskanymi dla połączonych danych z drugiej i trzeciej fali pandemii.

EN

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

EN

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

PL

regresja function-on-function; analiza danych funkcjonalnych; COVID-19; analiza głównych składowych funkcjonalnych; funkcje gładkie

• Publisher: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
• Journal: Econometrics. Ekonometria. Advances in Applied Data Analytics
• Year: 2023
• Volume: 27
• Issue: 3
• Pages: 20-34

Dates

published

2023

Contributors

author

Patrycja Hęćka

• Wrocław University of Science and Technology, Wrocław, Poland

References

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Identifiers

DOI

10.15611/eada.2023.3.02

Biblioteka Nauki

21375673