comma lets you run agent-based simulations to study mental health outcomes during covid-19 lockdowns.
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.
- Python 3.6 or above
We recommend installing comma in a virtual environment. For example, in conda:
conda create --name comma_env
conda activate comma_envThen 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.
You can find a tutorial that demonstrates the usage of comma in the /notebooks folder.
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.
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.
An agent-based simulation model to study mental health outcomes during covid-19 lockdowns