AbujaRUG/Prevalence-Mapping-of-Malaria-Cases-in-Nigeria-using-R-INLA-SUMMER-packages
Domaine:
healthcaregeospatialType de record:
project
Créateur:
Abu
Hôte:
This involves modeling under-5 malaria prevalence (U5MP) in Nigeria across the space to determine malaria hotspots for proper allocation of resources and policy making.
# Prevalence-Mapping-of-Malaria-Cases-in-Nigeria-using-R-INLA-SUMMER-packages
## Description:
This involves modeling under-5 malaria prevalence (U5MP) in Nigeria across the space to determine malaria hotspots for proper allocation of resources and policy making. Due to the sparse nature of available data in Nigeria, disease mapping borrows information across space. In this work, we will be using data from the Nigeria Demographic and Health Survey (NDHS).
Things to learn include data cleaning, exploratory data analysis and introduction to basic disease mapping. The analytical software to use are R-INLA (Integrated Nested Laplace Approximation) and SUMMER package which are open access for download.
## Prerequisite:
1. For this workshop, you are expected to use a functional laptop with R installed. You may download R and RStudio from their website.
NB: R and Rstudio installation link:
R Download here : cran.r-project.org
RSTUDIO Download here : posit.co
2. Participants are encouraged to register with The DHS Program for data access and download Nigeria admin2 shapefiles ahead of the session.
Follow this procedure:
Download the shapefile for the country, preferably Nigeria in this case, from gadm.org, selecting the country from the drop-down menu.
3. You should have R-INLA installed on your system. This can be done by running the following code on your R console:
install.packages("INLA",repos=c(getOption("repos"),INLA="inla.r-inla-download.org"), dep=TRUE).
In case R-INLA fails to install, you may run the following code and then rerun the R-INLA code again:
options(timeout=6000)
4. Interested participants need to register with dhsprogram.com for permission to use their data. The data we would be making use of is the Nigeria Malaria Indicator Survey (MIS) 2021.
Target:
Public health practitioners, researchers and data scientists (modelers)
Out …
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