The GIS4HEALTH Accelerator transforms fragmented geographic and contextual data into structured spatial intelligence that directly informs surveillance, risk stratification, and intervention targeting.

By integrating routine surveillance data with environmental layers, infrastructure, settlement patterns, and accessibility metrics, the accelerator enables a high-resolution understanding of where transmission occurs and where services are most needed.

Core workflows include spatial data engineering, geostatistical modelling, environmental risk mapping, and equity-focused access analysis. These processes generate standardised spatial features that feed directly into risk estimation, hotspot detection, and operational planning.

Embedded within routine systems, GIS4HEALTH ensures that location-based evidence becomes a standard component of decision-making. Outputs include harmonised geospatial databases, spatial indicators, and analytical pipelines that strengthen both predictive modelling and equitable resource allocation.

GIS4HEALTH Training Modules

You may download the technical geospatial analysis materials through the following links:

• Using R as a GIS and Making Maps With R – Yudha A. Perlambang, M.R.Sen.

• Representing Densities – Yudha A. Perlambang, M.R.Sen.

• Geographically Weighted Regression (GWR) – Yudha A. Perlambang, M.R.Sen. & Kurnia Novita Sari

• Mobile Mapping & Remote Sensing – Yudha A. Perlambang, M.R.Sen.