Data Visualization: The Spread of Coronavirus
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The world is grappling with 2019-nCoV, the new Coronavirus spreading rapidly from the epicenter of the outbreak in Wuhan, the capital of China’s Hubei Province. The spreading virus, which as of February 5th counts 24,642 confirmed cases across dozens of countries, can be fatal, resulting to-date in 494 deaths.
Response to the outbreak is vast and highly variable, with China placing much of Hubei Province on a transit lockdown, Russia shutting down their border with China, which at just over 2,600 miles is the 6th longest land border in the world, and nations around the world putting additional precautions into place at major ports-of-entry, including quarantining flights and cruise ships with thousands of passengers.
Visualizing Disease Data
Given the nature of a viral epidemic like 2019-nCoV, that spreads via human-to-human transmission, the spatial component of the infection data is a critical component for understanding transmission patterns and rates, and establishing emergency response plans.
The below map highlights the spread of the disease worldwide, reflects the risks faced by distinct countries based on transit to and from countries with a significant number of cases.
Viewing Coronavirus statistics by province in China shows that the disease has followed major transit corridors, and spread along populated coastal regions.
And finally, we can see the epicenter of the disease within Hubei Province, showing over 8,000 cases within the City of Wuhan.
Visualizing Infection Speed
In order to see how rapidly this disease has spread among the populace in Hubei Province, we have visualized that spread from January 25th through February 6th.
Data Sources
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