Time Series Analysis of the Numer of COVID-19 Cases During the Pandemic in Selected Countries

• Autorzy: Zuzanna Krysiak , Grażyna Trzpiot
• Języki publikacji: EN

Abstrakty

EN

The chapter was written to describe the morbidity phenomenon in relation to the administered vaccinations and to analyze the observations describing the COVID-19 virus pandemics in the period from March 1, 2020 to January 22, 2022 and to collect information on the relationships between the introduction into use at the turn of 2020 and 2021 years of vaccines, and the mortality rate from this virus and the incidence of new cases. As part of the research, it was possible to conclude that there are strong associations between the variables that determine the number of cases and the overall course of the pandemic. The introduction of vaccinations was related to a decrease in the number of cases, mortality, etc. for the analyzed countries. The time series analysis used in the study allowed for the observation of the studied phenomenon and opened the possibility for further work with the created models and using them to forecast the morbidity phenomenon. The large variety of the studied database allows for a detailed analysis of observations and opens up the use of other research methods. Therefore, it is also possible to forecast the observation regarding the relationship between vaccinated persons and the incidence in subsequent studies. The research provides a strong basis for further analyzes of key elements influencing the number of diseases in society.(fragment of text)

Słowa kluczowe

EN

COVID-19; Pandemic; Econometric models

PL

COVID-19; Pandemia; Modele ekonometryczne

• Czasopismo: Scientific Publications / University of Economics in Katowice
• Rocznik: 2023
• Tom: Multidimensional Data Modelling and Risk Analysis
• Strony: 125--152

Twórcy

autor

Zuzanna Krysiak

• Uniwersytet Ekonomiczny w Katowicach, doktorant

autor

Grażyna Trzpiot

• University of Economics in Katowice, Poland

Bibliografia

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Identyfikatory

DOI

10.22367/uekat.9788378758686