Track: Healthcare Operations and Healthcare Engineering

Abstract

While the outbreak of Covid-19 pandemic is a severe global health problem, health authorities are focusing on managing patients’ treatment and healthcare facilities. The aim of this study is to investigate the relationship between personal characteristics, symptoms, and underlying diseases nominated as predictors, and the hospitalized duration of treatment for the patients contracted to Covid-19 as a dependent variable. To this purpose, patients have been divided into three categories of recovered, transferred, and death followed by developing separate regression models with the above-mentioned variables. Data have been collected for 1015 patients who were positively contracted to Covid-19 and received clinical treatment or intensive care. The results revealed that age causes significant effects on the hospitalized duration of treatment among the aforementioned contributing factors, so the health service managers can estimate the patient hospitalized duration based on the age even if the symptoms and underlying diseases may cause significant effects on the infection rate.