These calculations will be calculated with (1) all of the countries in the sample and (2) stratifying the different countries based on their income groups, which is classified by the World Bank. The countries are classified into four income levels based on their GNI per capita, which is defined as the GDP and the “net receipts from abroad of compensation of employees, property income and net taxes less subsidies on production” added together divided by the population of the country \citep{OECD2020}. These classifications are taken from the 2019 World Bank Country and Lending Groups \citep{TheWorldBank2020a}, as the effects of COVID-19 are not yet felt when these classifications are made.
Ethical Considerations
This study shall observe the ethical standards throughout the research process. Since the data collected are from publicly available databases from reputable organizations, data quality is ensured. The privacy and anonymity of a person are important in conducting research dealing with data concerning humans \citep{Allen2017}. Because of this, there is no identifying information that could identify the people with COVID-19 from the different countries from the WHO databases, which ensures the anonymity and privacy of people with COVID-19. Lastly, there is no information that can pinpoint a person’s social status in the databases of The World Bank’s database of GDP, GDP per Capita, and population.
Results
Using the formula for the incidence and mortality rates mentioned above, these parameters are calculated through Microsoft Excel. The whole data set is then tested for normality in order to determine what type of correlation test would be used for the dataset. As the results show from Table 2, the data is not normally distributed because p < .05.