Using SAS to Show the Distribution and Severity of COVID-19
September 24, 2025: 3:00 PM - 3:30 PM
Visualizations and Reporting (VR), Executive Dining Room #2

Authors Abstract
LeRoy Bessler Scatter plots and bar charts are part of the package, but what sets this paper apart are ways to use PROC SGMAP and ODS HTML5 that have never been seen before. Inherent practical difficulties in using choropleth maps (i.e., maps that have countries color-coded based on response value: population, case count, mortality count, case rate, or mortality count) have been overcome. To programmatically color the country areas is NOT a problem. Seeing the color coding CAN BE. Even FINDING a tiny country on a map is always a challenge. The range of the world's land areas includes 2 sq. mi. (0.8 sq. km.) for Monaco. On a web-enabled map, if you cannot find a country, you cannot raise its mouseover text. In this presentation, you will see the solution. My actually usable web-enabled atlas for COVID-19 includes maps for the world and for each continent except Antarctica. To make the broad expanse of Asia more easily explorable, there are five regional maps. There are also maps for the Central America mainland and the Caribbean Islands. The project uses COVID-19 data for 2020 to 2023. Relationships between the five response variables and fifteen other data elements are explored. Another question of interest to be investigated is to what extent the COVID-19 severity in one country can "radiate" to countries that share its boundary.