Background and objective: In the alarming situation of COVID-19, every country is struggling to contain the spread. This study aimed to review the situation and correlate selected variables with a number of cases. Materials and methods: The secondary data were collected from various sources in both government and non-government agencies for the review and analysis. Spearman\'s rho correlation was used to make inference about the association of COVID-19 cases with selected variables. Results: Among the 10 countries included in the analysis, the USA had the highest number of COVID-19 cases as of April 26, 2020. Italy performed well in terms of number of tests per million population with 31,600 and India was very poor with 602. Positive case detection was 26.8% in France and India had just 3.2%. The proportion of urban population, elderly population, and tests per million population were significantly contributed to higher incidence of COVID-19 cases. Conclusion: Special activities should be focused on urban population and elderly population to control COVID-19, and surveillance capacity should be increased extremely.
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