Δημογραφικοί και περιβαλλοντικοί παράγοντες που σχετίζονται με την εξάπλωση του κορωνοϊού στη Νότια Κορέα. Μια μελέτη της KCDC data base
Demographic and environmental factors related to the spread of covid-19 in South Korea. A study of the KCDC data base
View/ Open
Abstract
Coronavirus is a disease that appeared in late December 2019 in Wuhan city of China wand it causes severe respiratory infections to people. Because of its rapid spread, has been declared as a pandemic around the world.
The main objectives of this thesis are to detect the demographic factors contributing to the spread of COVID-19 to South Korean citizens and how the country’s environmental factors are related to this disease.
The data used to analyze the this thesis was obtained by the South Korea Disease Control and Prevention Agency (KCDA) which collects data from local governments. The KCDA began its investigation on 20 January 2020 when the first case occurred and it continues to collect information to this day.
The statistical methods used for our research, are the one-dimensional and two-dimensional descriptive statistics, Pearson test of X2, Multinomial Logistic Regression, the COX Regression, Pearson Bivariate Correlations as well as the Box and Jenkins method of Sequence Charts.
Data analysis reveals that the gender, the age and the province are the most important factors related to the spread of the coronavirus. The environmental factors are studied at the Seoul Province and it shown that the mean daily temperature and the mean relative humidity are related to the spread of the coronavirus. Finally a times series model is proposed which can predict the number of new coronavirus cases.