MBGapp

MBGapp facilitates exploration of model-based geostatistics for spatial epidemiology and population health, including analysis of Loa loa infections.

Key Features:

• R package implementation: Provides an R package implementation for computational work with model-based geostatistics.
• Loa loa case study: Implements a Loa loa infections example to demonstrate application of model-based geostatistical methods to real-world data.
• Variogram and Gaussian process simulations (VariagramApp): Includes a complementary VariagramApp component offering simulations and exploration of Gaussian processes in one and two dimensions and variogram behavior.

Scientific Applications:

• Teaching model-based geostatistics: Supports instruction in spatial data analysis techniques relevant to population health science.
• Spatial epidemiology of infectious diseases: Demonstrates geostatistical analysis workflows for mapping and interpreting infectious disease patterns, exemplified by Loa loa.

Methodology:

The methodology uses a step-by-step interactive process where users can explore different stages of geostatistical analysis.