Urban landscapes and diarrhoea in Côte d'Ivoire
A replicable computational workflow to assess the association between urban landscape metrics and the prevalence of diarrhoea, striclty based on open-access data.
Citation: Pessoa Colombo V, Chenal J, Koné B, Bosch M, Utzinger J. Using Open-Access Data to Explore Relations between Urban Landscapes and Diarrhoeal Diseases in Côte d’Ivoire. International Journal of Environmental Research and Public Health. 2022; 19(13):7677. https://doi.org/10.3390/ijerph19137677
Instructions to reproduce the analysis
1. Install conda
https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html
2. Create and activate environment
From the repository root, run:
conda env create -f environment.yml
conda activate LS_metrics3. Download input data
Note that access to DHS data must be requested separately, on this site:
https://dhsprogram.com/data/dataset/Cote-d-Ivoire_Standard-DHS_2012.cfm?flag=0
The rest of the data can be automatically downloaded, by running:
make download_data4. Run the notebooks
Follow the order indicated in the names of the notebooks: 0-1-2-3 (see prefix).