United States

Maps, Charts and data for COVID-19

Local market sign in Cambridge, Massachusetts, March 17, 2020

The COVID19 pandemic is now moving quickly. While northern Italy has been overwhelmed by infections, Spain and Iran are also now experiencing a disaster. Here in the United States, there are serious outbreaks in Seattle and New York. So what are the best maps and other data visualizations to keep track of what is happening? Here are my top recommendations:

Global Level Data- 冠状病毒数据

This John Hopkins map provides a global look at COVID19’s spread, combined with charts of country cases, as well as the number of dead and recovered. I would guess that this is one of the three most popular maps for tracking the pandemic.

Outbreakinfo is an outstanding dashboard, which provides a vast amount of information in a limited space. This is one of the top three sources for tracking the pandemic.

The Worldometer Coronavirus webpage has a plethora of charts with data on the outbreak, in particular country by country data on infections, new infections, deaths and recoveries.

Health map provides another global map of the outbreak, although it is not accompanied by the data in charts that accompanies the John Hopkins’ map above. It does have, however, an “animate spread” feature that shows a visual history of the virus’s spread, which is hypnotic.

The University of Washington novel Coronavirus map is similar to the John Hopkins map, but has a less cluttered (and less detailed) collection of data in charts.

A US high school student created this useful website with COVID19 data both globally and in the United States.

Maps of U.S. Trade

I recently came across this great blog post by Yuka Kato, which has beautiful maps illustrating U.S. trade with different regions of the world. This would be a great tool in classes that address international political economy, including an Introduction to International and Global Studies class. You can also find other great maps for an introductory classroom on the blog.

Shawn Smallman, 2016

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