sars2_austria

Simple python data analysis for SARS2 in Austria or any other country with a jupyter notebook or script, in comparison to South Korea. This is not a prediction, but for monitoring data in comparison to exponential and gaussian fits and a country like South Korea which is a few weeks ahead in time compared to Europe.

C. Möstl, Graz, Austria https://twitter.com/chrisoutofspace

data source for Austria https://orf.at/corona/stories/3157533/

data source for South Korea https://www.worldometers.info/coronavirus/country/south-korea/

Usage

After installation below, go to the sars2_austria directory, run

conda activate small

to activate the environment, followed by either

python plot_cases.py

or open jupyter lab with

jupyter lab plot_cases.ipynb

and choose "run all cells" from the "Run" menu after jupyter lab opens in a browser.

Total case numbers, their start and end dates and the time shift to South Korea can be set in the file:

set_input_here.py

The times and case numbers for Austria are given as default. Please open this file in a text editor and adjust it for the data in your country.

The name of the plot file that is produced can be adjusted in set_input_here.py.

For converting the jupyter notebook to a script on the command line do:

jupyter nbconvert --to script plot_cases.ipynb

Installation

Install python 3.7.6 with miniconda:

on Linux:

  wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
  bash Miniconda3-latest-Linux-x86.sh

on MacOS:

  curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
  bash Miniconda3-latest-MacOSX-x86_64.sh

Create a conda environment (should take < 10 minutes):

  conda env create -f environment.yml

go to a directory of your choice

  git clone https://github.com/cmoestl/sars2_austria