Code for Age-structured estimation of COVID-19 ICU demand from low quality data.
Paper link: arXiv:2006.06530
- python >= 3.6
- numpy
- matplotlib
- pandas
- scipy
- scikit-learn
Typically, Anaconda distribution for Python >= 3.6 is enough.
The main results are calculated in
sampler_state_SP.ipynb
.sampler_city_SP.ipynb
.
The respective plots are constructed in
plots_main.ipynb
Further analysis about other cities and regions can be readly performed as shown in:
sampler_grande_SP.ipynb
.
Data epidemic evolution plots:
plots_data_ep_evol.ipynb
Constructions of epidemic scenarios:
scenarios.ipynb
Folders with data, saved results and paper figures, respectively:
data
results/dfs
results/figures