Abstract
BACKGROUND: The COVID-19 pandemic has had an immeasurable impact, affecting healthcare systems, the global economy, and society. Exploration of trends within the existing COVID-19 data may guide directions for further study and novel treatment development. As the world faces COVID-19 disease, it is essential to study its epidemiological and clinical characteristics further to better understand and aid in its detection and containment. METHODS: We aimed to study the clinical characteristics of patients infected with COVID-19 in Dubai, a multi-national Society. RESULTS: Our findings demonstrate that during the first wave of the COVID-19 epidemic, age, gender, and country of origin were associated with more severe cases of COVID-19, higher risk for hospitalization and death. Male individuals between 41 and 60 years of age from India had the most significant hospitalization and death predictor (p=.0001). The predictors for COVID-19 related deaths were slightly less than UAE Nationals by individuals from GCC (p=.02) that were followed closely behind by Pilipino (p=.02) and Arabs (p=.001). CONCLUSION: The vulnerability of individuals to infection and in the spectrum of COVID-19 symptoms remains to be understood. There are large variations in disease severity, one component of which may be genetic variability in responding to the virus. Genomics of susceptibility to COVID-19 infection and the wide variation in clinical response to COVID-19 in patients should become active investigation areas.