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R0(t) visualization tool for Covid-19 in Italy. BSc thesis project.

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R0(t) visualization tool for Italy

Tool to download data and output the reproduction number estimate using Time-Dependent method for Italy, its regions and its provinces.
Thesis project of Alice Schiavone, student at Università dell'Insubria.
Thesis advisor: Prof. Davide Tosi

Installation

  • Open mainscript.R.
  • In RStudio, go to Packages and Install.
  • Download Reticulate package.
  • Decomment line 11, run it.
#py_install("pandas")
  • When running, it will ask to download Miniconda: press 'Y' and enter.

  • Comment the previous line. You can now source the file.

  • To run makeboard.py, you need to install the 'fpdf' library. (pip install fpdf)

Run

  • Open mainscript.R and source it.
  • Plots will be made in 'plots' folder, created by the script.
  • To make .pdf files to export the last R0(t) value for each area and its plot, run makeboard.py.

R0(t)_values_plots includes plots, R0(t)_values doesn't.

Issues

The script doesn't output R0(t) for some areas.

Project status

Work in progess.

Further project development

This project will be extended by Alessandro Riva.

Link will be available

Data

Data is taken from the Department of Italian Civil Protection GitHub open data set.

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R0(t) visualization tool for Covid-19 in Italy. BSc thesis project.

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