Digital toolkit implementing WHO's SNT framework: risk stratification, intervention tailoring, budget optimization, and impact forecasting for malaria control programs across Africa.
# EpiStratify 🌍📊
**An open-source digital platform for evidence-based subnational stratification and tailoring of malaria interventions**
Implements the WHO Subnational Tailoring (SNT) framework with epidemiological stratification, geospatial analysis, intervention optimization, and scenario-based impact assessment for National Malaria Programs.
WHO SNT framework reference:
iris.who.int
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## Status
🚧 In Development
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## Why Subnational Tailoring (SNT)?
Malaria transmission and intervention effectiveness vary substantially across space due to differences in epidemiology, vector ecology, intervention coverage, and health system capacity. National-level planning alone often fails to capture this heterogeneity.
The WHO Subnational Tailoring (SNT) framework enables countries to:
- Analyze local epidemiological and operational data
- Stratify malaria risk at appropriate subnational levels
- Tailor intervention packages to local contexts
- Optimize allocation of limited resources
- Compare strategic scenarios and expected impact
- Promote equity by prioritizing high-burden and underserved populations
EpiStratify operationalizes these principles in a transparent digital workflow.
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## Key Features
- WHO-aligned 10-step SNT workflow
- Data readiness and quality assessment
- Epidemiological and operational stratification engine
- WHO-consistent intervention tailoring logic
- Budget and resource scenario analysis
- Impact projection and scenario comparison
- Automated technical and policy reporting
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## Tech Stack
- Backend: Python, FastAPI
- Frontend: Vue 3
- Database: PostgreSQL + PostGIS
- Geospatial: GeoPandas, GDAL
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## Project Coordination & Contributions
EpiStratify is being built under the coordination of:
**Ernest Moyo**
Epidemiologist and PhD Student in Disease Modeling
Contact: ernestmoyo35@gmail.com
This project is open-source and open to contributions f …