In the early days and weeks of any widespread global health concern, particularly in a fast-moving outbreak like the coronavirus, there are many unknowns. Data visualization can be a good starting point to understand trends and piece data points together into a meaningful story. The ability to visualize the spread of the virus can help raise awareness, understand its impact -- and ultimately assist in prevention efforts.
On December 31, 2019, the World Health Organization’s China Country Office was informed of cases of pneumonia with unknown cause detected in Wuhan City, Hubei Province of China. Since its initial reporting, the new coronavirus (SARS-CoV-2) has spread in a global outbreak, infecting tens of thousands in more than 30 countries and causing the COVID-19 acute respiratory disease.
SAS has created a report that depicts the status, location, spread and trend analysis of the coronavirus.
The underlying data is updated daily, so check back regularly to see how it’s progressing and to view the worldwide spread animated over time. Use this interactive report to:
- Find out the number of new coronavirus cases within the last 10 days and see how the virus’ infection rates, recovery rates, and fatality rates are trending.
- Discover where the virus has migrated and compare the epicenter China with the rest of the world.
- Analyze the confirmed cases to understand how the recovery rate is changing over time.
SAS Visual Analytics was used to create this report with data from WHO, CDC, ECDC, NHC and DXY compiled by JHU CSSE.
For a rapid glance of summary information that’s refreshed daily with global statistics on the COVID-19 outbreak, start here.
Key insights from various reports are embedded in this web page, letting you view and interact with the data and keeping you updated with the latest numbers.
If you want to see more details by geography and explore the interactive report, just click on the “Full report” button at the top of the page to launch the full dashboard.
Using a dashboard view, you can easily see an overview of the COVID-19 disease outbreak based on data updated daily, including the number of confirmed new cases, recovered cases and deaths from the virus filtered by geographic location.
A time series bar chart (Figure 2 below) compares the confirmed cases to recoveries and deaths and cases status by reporting period. A stacked bar chart (Figure 3 below) shows the top five impacted countries by new cases in the last ten days (Note: You can maximize the view of each visual in the report to see more details).
The Locations Tab of the report reveals global and country-specific coronavirus data (Figure 4 below).
Enter a country name for country-specific data (Figure 5 below).
It’s been many weeks since the first case of the new coronavirus was reported in China and the outbreak has spread across the globe. By adding a layer of geospatial data from Esri’s GIS mapping software, we’re able to explore an interactive view of the spread of coronavirus across China and into other countries.
With SAS Visual Analytics, we can see a time-series animation (Figure 6 below) that demonstrates the spread of the virus across the globe. Play the animation to see the spread within China, as well as spread and severity across the globe.
On the Trend Analysis tab, flip through the visualizations to see additional data trends related to the COVID-19 outbreak (Figures 7 and 8 below).
This information, presented in new ways on maps and animated timelines, is just the tip of the iceberg as public health officials and life sciences companies work to contain the COVID-19 outbreak and develop antiviral medicines to combat the disease. Data-driven techniques such as analytics and AI released on a diverse set of data points such as clinical patient records, social media streams and public health records among others can all help to refine the surveillance approaches as long as regulatory and citizen privacy laws are respected.
Further development of data science projects and collaboration within the health and life sciences industry is needed. Those interested in a code-based approach may want to check out these tips from graph expert Robert Allison.
As the data and this outbreak evolve, so will our analytics and reports evolve to be even more meaningful to the global health community. Stay healthy and let us hear from you about ways that SAS Visual Analytics and other SAS analytical technologies can help (or are helping) shed light on the current coronavirus epidemic.
Note: Report visuals updated to reflect dashboard updates on March 16, 2020.