The Coronavirus pandemic severely impacted certain areas of the USA more than others. The data-driven decision making at every level at CDC will aid government decision makers to reallocate medical resources while planning recovery and reopening businesses in the United States. In this paper, we use a data visualization approach combined with current secondary research to measure which areas of the USA are most severely impacted by the Coronavirus pandemic. We propose a novel methodology that is implementable by medical organizations that use informatics depending on the data initiative at hand.