Determinants that Associated with Traveling History of COVID-19 Patients in Ethiopia during Stay at Home State of Emergency

Abstract

Kindu Kebede Gebre* and Million Wesenu Demissie

Background: The recent outbreak of Novel Coronavirus (SARS-CoV-2) Disease (COVID-19) has put the world on alert and impacting societies around the world in an unprecedented manner. The main aims of this study was to investigate the association among the socio- demographic factors with traveling history of COVID-19 Patients in Ethiopia during stay at home state of emergency.

Methods: A total of 162 respondents with COVID-19 during March 13, 2020 to May 6, 2020 in Ethiopia were used. Two sided chi-square test was used to test the association between the socio demographic factors among COVID-19 Patients. A log-complement logistic regression model was used to compute the Health Ratios (HR) and 95% Confidence Interval (CI) to measure the effect of those factors.

Results: The data was analyzed using 162 patients of severe acute respiratory syndrome corona virus-2. An association was found between traveling history of COVID-19 infected patients and Gender (male vs. female) (5.410, p<0.020) and Age group (13.082, p<0.004). Log-complement logistic regression model showed that Gender and Age were significant factors associated to traveling history of COVID-19 Patients. Health ratio showed that increasing risk of traveling history for COVID-19 patients associated with higher number of males (HR=0.5895, 95%CI: 0.4007-0.8672, P<0.0073) and Age group 18-39 years (HR=0.4139, 95%CI: 0.2385-0.7184, P<0.0017) on patients of COVID-19. Akaike information criteria with minimum value (AIC=1.2158) indicated that Log complement logistic regression model was fitted the data well for the similar dataset of patients’ with novel corona virus.

Conclusions: Male Gender and Age group 18-39 years are significant socio-demographic factors associated to traveling history of patients with corona virus disease. Further socio- demographic investigations are required to better understand the extent of association with Gender and Age for effective intervention and fight this pandemic to preserve lives.