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covid-19 data analysis

version 1.3.7 (1.08 MB) by Andrea Augello
Very basic data analysis and visualization on the spread of the COVID-19 virus in Italy

248 Downloads

Updated 28 Mar 2020

GitHub view license on GitHub

Very basic data analysis and visualization on the spread of the COVID-19 virus in Italy based on the dataset published by the Italian National Service, includes single region analysis.

An internet connection is needed to download the official data from https://github.com/pcm-dpc/COVID-19

Cite As

Andrea Augello (2020). covid-19 data analysis (https://www.github.com/Andrea-Augello/covid-19_data_analysis-), GitHub. Retrieved .

Comments and Ratings (9)

The live script does not work. Can you please re-upload it? Thank you

lue mark

如何使用Logistic来研究新型肺炎

does this apply to other countries ?

DanCampos

Ciao Andrea,
complimenti e ottimo lavoro. Il file covid19_live_script.mlx viene avviato correttamente senza alcun errore, ma non è possibile visualizzarlo. La versione dello stesso file .md si apre ma è una versione leggermente diversa dello script. Puoi aggiornare la versione del file covid19_live_script.md?
Saluti e grazie.

@Actuary onfire, the live script needs to be run once to download the data before you can start using the sliders

I've been trying to use the script but there are many instances of ''' which throws up a syntax error. Is this script supposed to be run?

Joshua McGee

Great job! Nice examples of how non-linear fitting works.

Updates

1.3.7

Added an option for a moving mean data preprocessing

1.3.2

Beautified date output

1.3.1

The dataset used to download the data changed the date format, which breaks older code. This update adjusted for that, I will soon fix the ugly output.

1.3.0

Refactored some code for extra efficiency
Added some very basic capabilities for outlier removal

1.2.8

Updated markdown preview

1.2.7

More data visualization regarding derivatives and confidence intervals

1.2.3

Better behavior with the Windows filesystem

1.2.1

Improved data visualization

1.1.1

Slightly better initial parameter extimation, doesn't break with older data.

1.1.0

Slightly improved mathematical model to achieve more responsiveness

1.0.3

More sensible naming

1.0.2

Added image

1.0.1

More analysis on the derivative of the increase

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux