This tool provides the user with a much more flexible range of options to compare pandemic outcomes by continent, region, and country.
This dashboard also provides map overlays based on different geographies, locations, and UN country designations including Developing, Least Developed, and Small Island Developing.
COVID-19 Global Dashboard with full features shown below. Works best in fullscreen mode which can be accessed through clicking the box in the bottom right corner. Full-screen mode not available on mobile.
COVID-19 Dashboards built using Tableau Public / Data Processed in R
Additionally, we can look at Cases and Deaths per Capita to see where there are differences in Health outcomes. A few big takeaways thru the latest run.
- The US as a whole would fall just outside the top 10; however, including rates by State, more than half of the highest rates of Deaths and Cases are in the United States of America.
- Eastern European countries are HEAVILY represented both in terms of Cases and Deaths. Not enough attention is being paid to this part of the world.
- South American countries are over-represented on the Deaths per MM side. Not a single SA country is in the 25 on cases per MM, but they have 2 of the top 25 spots on the Deaths side with Peru assuming the top spot. This suggests a stark difference between access to health care between the regions.
- Conversely, the only Asian country on the Deaths side is Georgia, and mostly the only Asian countries that feature on either list are Western Asia and not the East.
- Information is not perfect. It’s highly possible that South America has a lesser-developed testing infrastructure which is why those countries are absent from the left side. Also, China’s conspicuous absence on either side is noteworthy (as are most countries with Autoritarian regimes).
(Countries and States with fewer than 500,000 population have been excluded, nation-states and island countries are heavily represented on that list)
All Data compiled from publicly available resources:
- COVID-19 Data: Johns Hopkins University: Center for Systems Science and Engineering (CSSE)
- 2016 Presidential Election Results: MIT Election Data & Science Lab
- Metropolitan Statistical Area (MSA): U.S. Office of Management and Budget
- Metropolitan Density Definitions: CDC National Center for Health Statistics (NCHS)
- United Nations Developing Country Designations: United Nations Statistics Division