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A replicable computational workflow to assess the association between the physical environment's morphology, perceived safety and the occurrence of diarrhea, based on cross-sectonal household surveys.

License: Creative Commons Zero v1.0 Universal

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sanitation-informal-settlements's Introduction

GitHub license

Settlement morphology and access to sanitation in Nairobi and Abidjan.

A replicable computational workflow to assess the association between the physical environment's morphology, perceived safety and the occurrence of diarrhea, based on cross-sectional household surveys.

Citation: Pessoa Colombo, V., Chenal, J., Orina, F. et al. Environmental determinants of access to shared sanitation in informal settlements: a cross-sectional study in Abidjan and Nairobi. Infect Dis Poverty 12, 34 (2023). https://doi.org/10.1186/s40249-023-01078-z

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 sanitation-informal-settlements

3. Input data

The input datasets are available in the 'data' folder.

4. Run the notebooks

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

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