COVID-19 - Map Basics
The
COVID map
provides a few capabilities not available in other maps.
- There is an animated heatmap showing the spread of the COVID-19 virus
- The use can plot data from any individual site or group of sites
- It shows US data down to the county level
- There are selection filters to help understand the information
You can determine which counties have had no cases and/or no deaths
- This uses the same data as the Johns Hopkins
World Map
Basic notes
- The mouse wheel works in most number fields
- Use the Shift/Alt/Ctrl keys (separate and together) to select which digit is changed
- The mouse wheel will zoom the map and graphs - left click to drag
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- Drag a tab to get a floating window
- Screens are just too small for a good display - floating windows help
- There are 5 datasets
- These are from Johns Hopkins
(via git) - I am using a local copy
- If nothing is displayed on the map, click F5 to reload
- This appears to be either a server or browser issue - nothing I know how to fix
- Be sure to click *Play*
- The main reason I wrote this was to see how the data changes with time
You can single step with either the buttons or the mouse wheel over the index
The slider is also mouse sensitive - click, drag, wheel
- There are 2 plot windows
- Aggregate - This adds the values from all the selected sites - press New Plot or Add Series
Individual - Displays site data when the site is clicked on the map
Presentation options
The application has 4 basic parts
| Global Map
| This has markers for all the sites in the database.
Animated heatmaps are shown here.
The mouse can be used to zoom and scroll the map.
Site specific data is displayed when the mouse is near a marker.
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| Aggregate Plots
| When multiple sites are selected, this graph will display the sum of the data per day.
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| Individual Plots
| When a map marker is clicked, the data for the associated site is displayed here.
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| Controls
| This is a set of tabs where various properties can be set.
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Those 4 sections are large and do not fit on a regular computer monitor unless
they are allowed to occupy the same space and/or overlap.
It is even worse on a laptop. As a result, the application can be started in 3 display modes
- controlled via an option in the url.
Additional url tags control which dataset and data selection are displayed on load.
See the Search tab.
Data Source
Johns Hopkins provides the
CSSE COVID-19 Dataset (via git).
These daily reports provide a comma delimited (csv) time series
for global (by country and region) and US (by city and county).
Using a live link to these is risky because the data format can change at any time.
(There was a big change 03-22-20.)
As a result, I download a local copy and test it before making it public.
Currently, there are 5 files available ..
and there will probably be 6 once they decide to report the number of recovered people in the US
by county and city. (There might be a reason they have decided not to share that.)
- The 3 global formats are the same - confirmed, deaths, recovered
- Each of the 2 US formats is different - confirmed, deaths
- I expect there to be a third US recovered file at some point
To download the data, using the link provided
- Click on each data file - it will open in an html page
- Click on Raw (in the upper right) - this gets the actual data
- Rightclick and select Save As
The resulting files use Unix line terminations (can not be opened with notepad).
These are the files that the application reads.
Other Sources
There are several very good COVID-19 maps available.
- Johns Hopkins
World Map
- Very good, always up to date, count shown by circle diameter - but no way to get additional info
Besides the basic map, they provide a lot of additional data
-
covid19info.live
- Color coded - by country
-
Virginia
- Color coded - by country
-
Answering The Most Important Questions About Coronavirus
- She is a complete ditz - but knows her stuff
-
npr.org
- This map is less useful than Johns Hopkins map - grid shows new cases per state per day
-
worldometers
- These first dates are bogus
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How To Tell If We're Beating COVID-19
- Mar 27, 2020 - minutephysics
This is very good - uses a log-log graph to indicate when the virus issue is over.
The problem is that log-log is almost identical to semi-log when one axis
(in this case, the x-axis) covers less than a full decade or two..
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WHO Timeline
- Just wow - lots of data.
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Author:
Robert Clemenzi