Statistical Analysis of Coronavirus Pandemic in the Czech Republic

Ales Sukalo

Bachelor's thesis

Abstract:

The aim of this thesis is to explore the development of coronavirus in the Czech Republic and come to the series of fundamental conclusions regarding the nature of the development, trends and tendencies related to particular age and gender groups. The main methodology of the following thesis is based on the quantitative statistical analysis that will incorporate trend estimations, seasonality analyses and creation of pertinent graphs and charts indicating the development of chosen indicators. The main framework of this work is based on the analysis of secondary data available on the interval of 2020 – 2022 from the Czech Statistical Office. In conclusion, the author draws the conclusion that the pandemic caused by the coronavirus in the Czech Republic was expanding rather fast, with two main waves and an average daily rise of 5173 daily cases each day. The working days of the week were the most hazardous for the transmission of the coronavirus since this is when the seasonality variables are at their greatest and most extreme levels.

Keywords

pandemic, cases, mortality

Jazyk práce: English

Datum vytvoření / odevzdání či podání práce: 16. 3. 2023

Obhajoba závěrečné práce

• Obhajoba proběhla 19. 5. 2023
• Vedúci: Ing. Olga Regnerová, Ph.D.
• Oponent: Petra Šánová, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Bachelor programme:
Business Administration