Implementation of the Pareto principle in focus group generation based on global coronavirus disease morbidity and mortality rates

Abstract

The recent pandemic that has hit the world has affected humanity in all aspects of life. Since the outbreak of this worldwide epidemic, a huge amount of data has been generated. In this article, we have provided a new simplified insight into the 2019 coronavirus disease (COVID-19) using the Pareto principle to highlight the main contributors to morbidity and mortality. A time series database of confirmed cumulative cases and deaths for all countries was processed from the Humanitarian Data Exchange website provided by the United Nations Office for the Coordination of Humanitarian Affairs. More than 85% of the incidents recorded worldwide were from the AMRO, EURO, and SEARO WHO regions, and the United States, Russia, and India were found to account for the largest proportion of cases and deaths in these affected areas. The application of Pareto analysis is useful in finding focus groups for further study and modeling