Overview
comma lets you run agent-based simulations to study mental health outcomes during covid-19 lockdowns.
Project status
Table of contents
Why?
This project aims at understanding the full spectrum of impacts the
lockdown policies had during the COVID-19 pandemic, specifically on
non-COVID-19-related health outcomes, such as mental health. Although
lockdowns reduced disease transmission and mortality, they also
potentially exacerbated mental health issues. By using comma you can
simulate real-world scenarios, and estimate/compare the effects of
lockdown policies on the mental health of an a-priori defined population
across time.
Installation
Prerequisites
Python 3.6 or above
Install from source
We recommend installing comma in a virtual environment. For example,
in conda:
conda create --name comma_env
conda activate comma_env
Then installing comma with pip by cloning the github repository
locally:
git clone git@github.com:covid19ABM/comma.git
cd comma
python -m pip install .
That’s it! After following these steps, you should have comma
installed in a dedicated virtual environment and be ready to use it.
Example
You can find a tutorial that demonstrates the usage of comma in the
/notebooks folder.
License
comma is under free open source Apache License Version
2.0.
This means that you’re free to use, modify, and distribute this
software, even for commercial applications.
Diagram
Below is a flowchart illustrating the software’s core architecture and the cascade of events within a simulation.
Credits
This is a project funded by the Netherlands eScience Center (Grant ID: NLESC.SSI.2022b.022) and awarded to Dr Kristina Thompson (Wageningen University) and developed in collaboration with the Netherlands eScience Center. More information on the Research Software Directory.