COVID-19 Air Traffic Visualization: Decisionmakers Should Base Travel Restrictions on Infection Rates Per Capita and Air Traffic Levels

The COVID-19 Air Traffic Visualization (CAT-V) tool combines COVID-19 case data from Johns Hopkins University and International Air Transport Association air travel data to examine COVID-19 virus transmission as a result of commercial air travel. Using the CAT-V tool, the authors find that even countries with a modest number of confirmed COVID-19 cases can be a great risk to the U.S. The authors suggest that travel advisories should be based on reducing passenger travel from countries with both high infection rates and high levels of passenger travel to the U.S.