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Covid Mapping Update

Map Link

Why have I made these maps?

  • Many media outlets are showing only portions of the data or speaking about it with out full context of what is happening.
    • Example: Showing total numbers since March mean nothing about the current state of the virus spread
  • Large red dots on a map do nothing to show trends and do not include any context around population (Johns Hopkins Maps)
  • The spread of the virus needs to be analyzed in multiple ways to get a full picture of what is happening in the real world.
  • Looking a the data in multiple different ways helps one gain better understanding of the spread and severity in certain areas.
  • Since the CDC lowest level of granularity provided is at the county level, I’ve stuck with the county.

What are the maps?

5 Maps include (Selection Upper Right):
  • 14 Day Linear Slope of new cases
  • 28 Day Linear Slope of new cases
  • 14 Day Linear Slope of new deaths
  • 28 Day Linear Slope of new deaths
  • Presumed Active cases per 100K residents

Further explanation:

  • Linear Slope is meant to show the trend for the past 14 or 28 days.
  • This is the slope of the best fit line between the points of each.
  • The slope is built off 7 day
  • The dots in each graph are rolling 7 day averages.
    • Each dot includes the sum of the most recent day and the previous 6 divided by 7
  • Presumed Active Cases Per 100K
    • Sum of new cases in past 14 days / 2019 US Census Estimated population * 100,000

Contact

  • Please reach out via email if you think I should show things differently or if you have another idea about how to view the data on a map. There is a great deal I don’t know and I’m always interested in sharing and learning more.

analyticsGIS

© 2021 Keith Guilford CC BY-NC 4.0
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