Coronavirus Tracker - Country Modeling
- 5 files
- 1937 downloads
The code receives data from the Humanitarian Data Exchange and can be used to plot data regarding the coronavirus spread for a specific country. Current metrics include: death rate, amount infected, and amount dead from the virus. The data can be plotted and used to determine predictions regarding the spread of the virus. Data is updated daily and can be used to interactively model the spread of the virus.
Data could be used to compare the spread of multiple countries. Currently, the code is set up to visualize the spread in the United States however this can be changed to any country through a simple change of a single line of code.
Cite As
Joshua McGee (2020). Coronavirus Tracker - Country Modeling (https://www.github.com/joshmcgee24/coronavirustracker), GitHub. Retrieved .
Comments and Ratings (13)
Updates
| 2.4.7 | -examples and image |
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| 2.4.6 | -added examples |
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| 2.4.5 | -added case per day to plot |
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| 2.4.4 | -bug fix |
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| 2.4.3 | -fixed predictions and small bugs |
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| 2.4.2 | -bug fix |
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| 2.4.1 | -compatibility notes |
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| 2.4 | -bug fixes and compatibility |
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| 2.3 | -compatibility |
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| 2.2 | -bug fixes and compatibility |
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| 2.1 | -compatibility |
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| 2.0.9 | -resolved all compatibility issues |
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| 2.0.8 | -bug fixes |
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| 2.0.7 | -new image |
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| 2.0.6 | -acknowledgements |
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| 2.0.5 | -updated predictions
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| 2.0.4 | -updated database |
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| 2.0.3 | -added pie chart to display the percentage of cases |
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| 2.0.2 | -sorted table in descending order |
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| 2.0.1 | -added ability to plot top 5 countries |
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| 2.0.0 | -fixed projection and data retrieval |
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| 1.1.3 | -fixed problem associated with data updating |
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| 1.1.2 | -implemented a new logistic fit algorithm |
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| 1.1.0 | updated description to reflect changes to code |
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| 1.0.9 | -name chnage |
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| 1.0.8 | -github |
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| 1.0.7 | image |
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| 1.0.6 | -N/A |
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| 1.0.5 | -updated image |
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| 1.0.3 | -added labels to graphs |
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| 1.0.2 | -introduced 3-parameter logistic model |
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| 1.0.1 | -fixed a small error |
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxTags
Acknowledgements
Inspired by: fitVirus, COVID-19 Modeling
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Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Joshua McGee (view profile)
Hi Illan, this version is fully compatible with R2019b and up.
Ilan Hurwitz (view profile)
Hi Josh! Thanks for all the hard work :)
I"m still getting a formatting error at line 51:
Error using coronavirustracker (line 51)
Table variable names must be character vectors.
Joshua McGee (view profile)
Please try the new version.
Joshua McGee (view profile)
With that being said, I will fix this issue now.
Joshua McGee (view profile)
Hi George, the prediction algorithm in this code isn’t very robust. See my other code called “COVID-19 Modeling” for more accurate predictions.
George Ellis (view profile)
I get a flat projection for the US for the Epidemic simulation. It is constant at 14248 cases. Is this happening to anyone else?
Joshua McGee (view profile)
This will not be compatible with Octave. You need the statistics and machine learning MATLAB package.
Bryan Bemley (view profile)
Hello, can this also be run in Octave? I'm in the process of getting a MATLAB trial, but I thought I would ask.
Ilan Hurwitz (view profile)
Thanks!
You're awesome!
If you need me to test anything I'm happy to help. Running 2018A currently.
Joshua McGee (view profile)
Hi Ilan, I’m working on a fix for this. It has to do with matlab version. Josh
Ilan Hurwitz (view profile)
Thanks for the great work!
There seems to be a problem with the formatting of the variable names at the top of each column in the table.
Looking forward to an updated fix :)
Umar farooq Mohammad (view profile)
Jacob Briones (view profile)