Spatial interpolation of acute malnutrition: a quest using probability proportional to the size of the population-based survey data

To effectively combat this public health issue, enhancing the ability to tell where acute malnutrition is of great concern over other areas is paramount. Possessing this information leverages the ability of programmers to prioritize limited resources - that are now getting even more shrunk amid the modern resource-constraint era.

This repository is an R implementation of a quest applying spatial interpolation modelling techniques. The quest aims to explore the usability of probability proportional to the size of the population-based survey sampling data to predict the prevalence of acute malnutrition from the observed sampling points to unobserved locations across a given survey area of interest.

Research (quest) question:

• Does spatial interpolation produce reliable (precise and accurate) estimates when applied to a small-scale PPS-based survey?

Study area

North Darfur, Sudan

Repository Structure

• raw-data/: a data frame of the input data. This is encrypted.
• R/: some handy user-defined functions.
• scripts/: a set of R scripts. These are split into different files, based on the specific task that they execute. Run script.R file to implement the project workflow.

Reproducibility information

The repository was created in R version 4.4.3. This project uses the {renv} framework to record R package dependencies and versions. Packages and versions used are recorded in renv.lock and code used to manage dependencies is in renv/ and other files in the root project directory. On starting an R session in the working directory, run renv::restore() to install R package dependencies.

Data encryption

This project uses {cyphr} to encrypt the raw data that lives in data-raw/ directory. In order to be able to access and decrypt the encrypted data, the user will need to have created their own personal SSH key and make a request to be added to the project. An easy-to-grasp guide on how to make a request will be found here

License

This repository is licensed under a GNU General Public License 3 (GPL-3).

Feedback

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Author

Tomás Zaba