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LeeroyMY/zim-disease-mapping-mvp

Domaine:

healthcaregeospatial

Type de record:

software
Créateur:
Lee
Hôte:
Undergraduate dissertation project: web application for geospatial and temporal mapping of infectious diseases in Zimbabwe # ZimEpi Tracker 🌍🦠 **ZimEpi Tracker** is a web-based geospatial and temporal infectious disease surveillance PROTOTYPE developed for Zimbabwe. It is designed to modernize disease reporting, facilitate real-time spatial analytics, and ensure patient privacy through automated geomasking. > **IMPORTANT**: This system is a PROTOTYPE. The data included in the repository and local databases is entirely synthetic, anonymized, or public-derived. **NO REAL PATIENT DATA** is included in this prototype. This repository contains the source code for the prototype, demonstrating a full-stack spatial architecture capable of handling national-scale line-list epidemiological data. --- ## 🎯 Key Features ### 1. 🔐 Role-Oriented Access & Workflows * **Custom Login Interface**: A dedicated, branded entry point separating clinical and administrative pathways. * **Health Personnel Dashboard**: A custom case management interface (CRUD) for reporting and managing individual disease records. * **Administrator Dashboard**: A high-level spatial analytics dashboard for national disease tracking. ### 2. 🗺️ Advanced Geospatial Visualisation * **Point-Level Mapping**: High-performance rendering of thousands of individual case points using **Deck.GL** and **Leaflet**. * **Interactive Coordinate Capture**: Integrated **MapLibre** and **OpenLocationCode (Plus Codes)** in the reporting form to ensure highly accurate, standardized patient origin capture. * **Administrative Context**: Overlays of 101 province and district-level administrative boundaries. ### 3. 📊 Spatial Analytics & Privacy * **Automated Donut Geomasking**: A privacy-preserving algorithm executed during API serialization. It automatically shifts true patient coordinates into an obscured radius (e.g., min 50m, max 500m) to protect identities while maintaining analytical validity. * **Backend Statistical Clustering**: Outbreak detection is offloaded directly to the database using **PostGIS `ST_ClusterDBSCAN`* …

Visit

github.com

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