logo
  • Installation
  • Changelog
  • Getting Started
  • Episuite API
  • Bibliography
  • License

Table of Contents

Contents:

  • Installation
  • Changelog
  • Getting Started
    • Durations
    • ICU - Admissions
    • Distributions
    • ICU - Simulating ICU occupation
    • Bayesian estimation of prevalence models
    • COVID-19 World Survey Data API
    • Mobility: Facebook Movement Range Maps
    • Mobility: Google COVID-19 Community Mobility Reports
  • Episuite API
  • Bibliography
  • License

Getting StartedΒΆ

Episuite is a suite of tools for epidemiology in Python. It contains components to handle distributions, delays that can be used to model and simulate ICU occupation. Episuite also contains client for modern mobility APIs released in the past year due to the COVID-19 pandemic.

Below you will find a series of tutorials explaining

  • Durations
    • Load the sample data
    • Build the durations object
    • Data visualization
  • ICU - Admissions
    • Load the sample data and aggregate by day
    • Build the admissions object
    • Check for data consistency
    • Visualization
  • Distributions
    • Loading sample data
    • Build a bootstrap distribution
    • Sampling from the distribution
  • ICU - Simulating ICU occupation
    • Preparing admissions
    • Durations (length of stay)
    • Visualization
  • Bayesian estimation of prevalence models
    • True prevalence model
    • Apparent prevalence model
  • COVID-19 World Survey Data API
    • Available countries and regions
    • Survey dates available
    • Fetching survey results
    • Visualization
  • Mobility: Facebook Movement Range Maps
    • Load Movement Range Maps data
    • Visualization
  • Mobility: Google COVID-19 Community Mobility Reports
    • Load Google mobility data
Changelog Durations

© Copyright 2021, Christian S. Perone.
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