Initially, this Python package was developed as a part of the graduate course in Modeling and Simulation of Physical Systems and for the paper which can be accessed here. For citation use the following:
A. L. Kapetanović and D. Poljak, "Modeling the Epidemic Outbreak and Dynamics of COVID-19 in Croatia," 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech), Split, Croatia, 2020, pp. 1-5, doi: 10.23919/SpliTech49282.2020.9243757.
or for in bibtex format:
@inProceedings{kapetanovic2020,
author={A. L. {Kapetanović} and D. {Poljak}},
booktitle={2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)},
title={Modeling the Epidemic Outbreak and Dynamics of COVID-19 in Croatia},
year={2020},
pages={1-5},
doi={10.23919/SpliTech49282.2020.9243757}}
Currently, this is an ongoing project that provides the ability to model the initial growth of the infected individuals and the dynamics of the epidemic, fitting the corresponding curves, observing the epidemic situation through descriptive statistics and calculating epidemiological parameters e.g. expected disease duration, transmission coefficient, reproductive number, etc.
Check the conda_env.yml file.
$ conda update conda
$ conda install git
$ git clone https://github.com/antelk/coropy
$ cd coropy
$ conda env create -f conda_env.ymlInstall from the source using pip
$ git clone https://github.com/antelk/coropy # if it is not already cloned
$ cd coropy
$ pip install .or directly using the standard python setup.py installation
$ python setup.py installSee Examples section.
Go to the sandbox directory and fire up jupyter notebook. There are currently 6 notebooks, all exploring the COVID-19 situation in Croatia. To view it online click on following links: