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

https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html

From the repository root, run:

conda env create -f environment.yml
conda activate LS_metrics

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_data

Follow the order indicated in the names of the notebooks: 0-1-2-3 (see prefix).