In this article we use the methods of functional data analysis to analyze the number of positive tests, deaths, convalescents, hospitalized and intensive care people during second and third wave of the COVID-19 pandemic in Poland. For this purpose firstly we convert the data to smooth functions. Then we use principal component analysis and multiple function-on-function linear regression model to analyze waves of COVID-19 pandemic in Polish voivodeships.
@article{arxiv.2306.12390,
title = {Functional data analysis: Application to the second and third wave of COVID-19 pandemic in Poland},
author = {Patrycja Hęćka},
journal= {arXiv preprint arXiv:2306.12390},
year = {2023}
}