rodsveiga / ICU_demand

Code for "Age-structured estimation of COVID-19 ICU demand from low quality data"

Age-structured estimation of COVID-19 ICU demand from low quality data

Description

Code for Age-structured estimation of COVID-19 ICU demand from low quality data.

Paper link: arXiv:2006.06530

Prerequisites

• python >= 3.6
• numpy
• matplotlib
• pandas
• scipy
• scikit-learn

Typically, Anaconda distribution for Python >= 3.6 is enough.

Usage

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