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| title: COVID-19 Precision Prevention - Digital Twin Model | |
| emoji: 🦠 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: streamlit | |
| sdk_version: 1.32.0 | |
| app_file: app_combined.py | |
| pinned: false | |
| # COVID-19 Precision Prevention: Digital Twin Model | |
| Interactive 3D visualization system for precision COVID-19 prevention strategies using viral load (Ct value) data. | |
| ## Features | |
| - **Tab 1: Contact Tracing (Alpha Variant)** - Determine optimal retrospective tracing duration based on confirmed case Ct values | |
| - **Tab 2: Quarantine & Isolation (Omicron Variant)** - Optimize quarantine duration based on Ct values and booster vaccination status | |
| - **AI Assistant** - GPT-4 powered intelligent analysis and recommendations | |
| - **3D Visualization** - Interactive exploration of effectiveness across different scenarios | |
| ## Data Source | |
| Based on research from: "A Bayesian Digital Twin Model for Precision Control of Emerging Infectious Diseases Using Viral Load Data" (Lin et al., 2025) | |
| ## Usage | |
| 1. Enter your OpenAI API Key in the sidebar | |
| 2. Adjust parameters (Ct value, days, vaccination status) | |
| 3. Explore 3D visualizations | |
| 4. Get AI-powered strategy recommendations |