Researchers across the globe are using new data and different ways of visualizing that data to gain insight into the spread of the disease. Many of these tests are being mapped and animated. To see a variety of visualizations, even ones from our own UMD geographers, check out the maps below.
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Researchers in the Center for Geospatial Information Sciences (CGIS) at the University of Maryland are visualizing data to help understand the spread of the virus across the country by mapping when and where cases were first reported.
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This map from UMD researchers explores the link between climate change ang the outbreak and spread of Coronavirus.
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Breaking down cases to the county level, this map by UMD student Yao Li from CGIS breaks down rates of infection over time.
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This visualization is produced by the World Health Organization and shows the rate of infection across time and country.
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Key to Map Below
Black: Cities with 1,000 or more cases
Purple: Cities with 100 or more cases.
Red: Cities with 20 or more cases.
Orange: Less than 20 cases
Diamond shape: Cities with deaths
This is another representation of the same data presented by Ari Shiffman, a high school student at Washington State. Data is from BNO News, CDC, and WHO. You can find the data tables and more about the visualization at nCoV2019.live.
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This visualization is produced by LexisNexs. From their website: "By combining our unique data and analytics together with those of other industry stakeholders, we created the COVID-19 data set and interactive visualization in order to provide insights on at-risk populations and care capacity risks."
