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SEI Epidemic-Macroeconomic Model

This is the Python source code for the Stockholm Environment Institute (SEI) Epidemic-Macroeconomic Model, a software designed to help national and regional authorities generate scenarios that incorporate both the economic ramifications of the pandemic and the measures undertaken to contain its spread. The software allows planners to explore likely future scenarios that take into account how the pandemic and related policy measures may affect the national economy and the global economic environment.

Key features include:

  • Modeling of potential ramifications for sector-specific outputs, value added, and gross domestic product (GDP)
  • Modeling epidemic and economic impact of public health measures such as:
    • International travel restrictions
    • Social distancing
    • Isolating symptomatic and vulnerable individuals
    • Testing and tracing
    • Vaccination roll-out
  • Modeling spread of a contagious disease like COVID-19 in a Susceptible-Exposed-Infectious-Removed (SEIR) model, including:
    • Mutliple strains
    • Waning immunity and reinfections
  • Resolution of regional variations such as rural and urban settings, or destinations that attract, or are seldom affected by, international travel.

The script can be run using any Python 3.x. There is also a 64-bit Windows executable available.

Getting started with the Epidemic-Macroeconomic Model

For instructions on using the Epidemic-Macroeconomic Model, see the manual. For the technical documentation of the pre-release version published on March 9, 2021 click here.

For more information

The "Epi-Macro Model" team includes several SEI staff: Charlotte Wagner, Eric Kemp-Benedict and Anisha Nazareth. Please feel free to contact any of us for more information or if you have questions.

Funding

The Epidemic-Macroeconomic Model is a project of the Stockholm Environment Institute (SEI). Key contributors include Charlotte Wagner, Eric Kemp-Benedict, and Anisha Nazareth. The project was made possible by an SEI Rapid Response grant funded by the Swedish International Development Cooperation Agency (Sida).