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

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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

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

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

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