This repository contains the contents to run the case study described in the manuscript "A computational framework for agent-based assessment of multiple environmental exposures". Users on Linux operating systems should be able to execute the model script.

Download the input data

Required additional input data can be downloaded from Zenodo.

How to install

A few steps are required to run the case study.

1. You will need a working Python environment, we recommend to install Miniforge. Follow their instructions given ati e.g.:

   https://conda-forge.org/download/

2. Open a terminal and browse to a location where you want to store the course contents.

3. Clone this repository, or download and uncompress the zip file. Afterwards change to the paper_agent_based_exposure_assessment folder.

4. Create the required Python environment:

   conda env create -f environment/environment.yaml

The environment file will create a environment named casestudyutrecht using Python 3.10. In case you prefer a different name you need to edit the environment file.

The user guide and short reference on Conda can be found here.

How to run

Execute the script run.sh. It will run 25 realisations for homemaker and commuter.