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BACKGROUND The COVID-19 pandemic is rapidly expanding throughout the world right now. Caused by a novel strain of the coronavirus, the manifestation of this pandemic is showing different level of disease-burden and mortality rate in different countries. OBJECTIVE In this paper, we investigated the effects of several socio-economic, environmental, and healthcare related factors on the disease burden and mortality rate of COIVID-19 across countries. Our experimental results provide a macro-level understanding of the most influential factors associated with the disease burden and mortality rate metrics. METHODS We developed a multiple-linear regression model using backward elimination to find the best fitting between reported death and cases across countries for country-level aggregated independent factors keeping COVID-19 test statistic in consideration. RESULTS Our results show that while the COVID-19 pandemic is seemed to be spreading more rapidly in economically affluent countries, it Is more deadly in countries with inadequate healthcare infrastructure, lower capacity of handling epidemics and lower allocation of healthcare budget. CONCLUSIONS Taking the number of tests performed into account and normalizing the countries based on the cumulative distribution of cases across days, our analysis on the standardized factors provide both the direction and relative importance of different factors leading to several compelling insights to the most influential socio-economic and healthcare infrastructure-related factors from a country-level view. CLINICALTRIAL N/A |
