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ernestmoyo/EpiStratify

Domaine:

healthcaregeospatial

Type de record:

software
Créateur:
ern
Hôte:
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 --- ## Status 🚧 In Development --- ## 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. --- ## 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 --- ## Tech Stack - Backend: Python, FastAPI - Frontend: Vue 3 - Database: PostgreSQL + PostGIS - Geospatial: GeoPandas, GDAL --- ## 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 …