An Analytical Study of Covid-19 Pandemic: Fatality Rate and Influential Factors
Abstract
The world is fighting hard against the coronavirus pandemic. The dearth of potential vaccines or effective medication to control the spread of the COVID-19 pandemic has led to severe health crises affecting human health and the economy at a global level. This paper is an effort to explore the various risk factors, which may be the reason for the varied fatality rate of COVID-19 in highly affected countries: Italy, the UK, Mexico, the USA, Brazil, and Germany as of 30th July 2020.
The investigation is based upon various facts and figures which are statistically analysed using Pearson product-moment correlation computation to prove that there exists a relationship between these factors and the COVID-19 fatality rate. It has been explored through statistical analysis-based correlation computation that there exists a relationship between the fatality rate and the number of tests, age, critical care facilities, medical history, and health expenditure.
The major outcome of this investigation suggests that the number of ICUs, number of tests, and expenditure percentage of GDP on healthcare are the major influential factors for the fatality rate, which need immediate improvement to reduce the impact of COVID-19. Additionally, the older population above 55 years of age should be given extra care.