SURVIVAL ANALYSIS OF COVID--19 INCIDENCE IN KOSOVO

Abstract

The human race has been at the edge of the COVID-19 pandemic since the start of 2020. While the disease is easily transmissible, a large proportion of the people affected are recovering. Most recovered patients do not suffer COVID-19 death, even though they have been observing for a long time. In the sense of survival analysis, they can be viewed as long term survivors (cured population). In this study, we present some statistical methods for estimating the cure fraction in Kosovo of COVID-19 patients. Proportional hazards Mixture cure model is used to estimate the fraction of cure and the effect of gender and age covariations on lifetime. For this analysis the data available on the https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.xlsx' website is used. The result revealed that the covariates, diabetes prevalence and hospital beds per thousand have highly statistically significant coefficients, while others, that is stringent index, total cases, gdp per capita (economic variable), respondent’s age, handwashing facilities are not statistically significant, implying that these variables are not really contributing to the hazard ratio of covid-19 incidence.