This repository contains the implementation of Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference.
This project was tested with Python 3.8.10. To install the requirements:
pip install -r requirements.txt
If you are using a virtual environment, you can link your jupyter notebook installation to it by running the command:
python -m ipykernel install --user --name=your_virtual_env
from within the virtual environment. This will add your_virtual_envto the list of available kernels.
Please use the citation:
Aleta, A., Blas-Laína, J. L., Tirado Anglés, G. & Moreno, Y. Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference. BMC Med. Res. Methodol. (2023). doi: 10.1186/s12874-023-01842-7
Or this bibtex entry:
@article{AletaJan23,
author = {Aleta, Alberto and Blas-Laína, Juan Luis and Tirado Anglés, Gabriel and Moreno, Yamir},
title = {{Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference}},
journal = {BMC Med. Res. Methodol.},
year = {2023},
issn = {1471-2288},
publisher = {BioMed Central},
doi = {10.1186/s12874-023-01842-7}
}