Spatial Decision Support System for malaria elimination. Agent-based mosquito model, driven by satellite environmental data, with a neural surrogate for fast monthly risk maps. Ghana as first target region.
# MalariaSentinel
## *Artificial Intelligence System for Predictive Malaria Surveillance*
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## 1. The Problem or Challenge to Address
Malaria remains one of the leading causes of mortality in tropical regions, exacerbated by climate change, which alters the breeding patterns of the *Anopheles* mosquito. The main challenge lies in the **reactive** nature of current health systems: interventions (spraying, supply distribution) are typically launched only after clinical cases are detected, when the outbreak is already in its expansion phase.
A critical gap exists between the availability of satellite environmental data (climate, humidity, vegetation) and its practical application in local health decision-making. The lack of accessible predictive tools prevents authorities from prioritizing limited resources in the micro-zones that will actually become infection hotspots in the weeks ahead.
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## Monorepo Structure
```
MalariaSentinel/
pyproject.toml Workspace root
README.md This file
AGENTS.md Agent guide: where to put new work
.gitignore
# ─── Python packages (UV workspace members) ────────────────────
mal-commonlib/ Shared config, paths, raster helpers
mal-core/ Stable pipeline logic (ABM engine, training, prediction)
mal-execution/ CLI entrypoints, batch jobs, HPC/cloud automation
mal-data-explorer/ Dataset visualization, mapping, bias analysis scripts
# ─── Research content ─────────────────────────────────────────
data/ All datasets (ghana_idit, colombia, react, guf, etc.)
(raw .txt/.zip gitignored — see scripts/restore_data.py)
papers/ Research PDFs
CoreHypothesis/ Environmental drivers of malaria
MalariaSpatialAnalysis/ Spatial & spatio-temporal methods
terrain/ SRTM DEM tiles and download scripts
(raw .tif gitignored — PNGs tracked)
runs/ Experiment outpu …