feat: Initial CBPOA commit — 武汉儿童呼吸疾病风险评估系统
Context: Build a spatial risk assessment system correlating air quality
data with children's respiratory disease incidence across Wuhan.
Approach: FastAPI backend serving PostGIS spatial queries, React
frontend with Deck.gl maps, and a PyTorch SpatialTemporalGCN pipeline
for multi-day (1d/3d/7d) risk prediction.
Changes:
- backend/ — FastAPI API with auth (JWT), alerts, risk analysis,
geocoded case data, grid statistics, and report endpoints
- frontend/ — React dashboard with interactive risk maps, alert
monitoring, district comparison charts, and timeline player
- models/ — SpatialTemporalGCN model with trained weights and ONNX
export for inference
- scripts/ — ETL pipeline for weather + medical data, grid generation,
feature engineering, training, and daily inference
- deploy/ — Docker Compose configs for backend, frontend, and MLflow
- docs/ — API docs, deployment guide, user guide, and code review
Impact: Enables spatial risk visualization, alert monitoring, and
ML-driven health risk forecasting for environmental health teams.
2026-06-05 02:13:49 +08:00
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fastapi==0.109.0
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uvicorn[standard]==0.27.0
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pydantic==2.5.3
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pydantic-settings==2.1.0
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asyncpg==0.29.0
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asyncpg-stubs==0.29.0
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geoalchemy2==0.14.3
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shapely==2.0.2
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python-multipart==0.0.6
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python-jose[cryptography]==3.3.0
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passlib[bcrypt]==1.7.4
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python-dotenv==1.0.0
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2026-06-05 03:10:28 +08:00
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httpx>=0.25.0
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feat: Initial CBPOA commit — 武汉儿童呼吸疾病风险评估系统
Context: Build a spatial risk assessment system correlating air quality
data with children's respiratory disease incidence across Wuhan.
Approach: FastAPI backend serving PostGIS spatial queries, React
frontend with Deck.gl maps, and a PyTorch SpatialTemporalGCN pipeline
for multi-day (1d/3d/7d) risk prediction.
Changes:
- backend/ — FastAPI API with auth (JWT), alerts, risk analysis,
geocoded case data, grid statistics, and report endpoints
- frontend/ — React dashboard with interactive risk maps, alert
monitoring, district comparison charts, and timeline player
- models/ — SpatialTemporalGCN model with trained weights and ONNX
export for inference
- scripts/ — ETL pipeline for weather + medical data, grid generation,
feature engineering, training, and daily inference
- deploy/ — Docker Compose configs for backend, frontend, and MLflow
- docs/ — API docs, deployment guide, user guide, and code review
Impact: Enables spatial risk visualization, alert monitoring, and
ML-driven health risk forecasting for environmental health teams.
2026-06-05 02:13:49 +08:00
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scipy>=1.11.0
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pandas>=2.0.0
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numpy>=1.24.0
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pyarrow>=14.0.0
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openpyxl>=3.1.0
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feat: add analysis pages and raster risk map
Ship a new app version with broader analytics, restructured
dashboards, and a server-rendered risk map.
Frontend:
- Add Overview, Demographic, Disease, and Environmental Health
analysis pages
- Add AnomalyMarkers, CalendarHeatmap, and MetricHeatmapTable
components
- Rebuild Alerts map onto server-rendered raster risk tiles;
expand Monitoring, Trend, and District Comparison views
- Extend API client, stores, and TypeScript types
Backend:
- Add environment router (pollutants, lag correlations)
- Add risk_raster util serving XYZ 100m risk tiles
- Expand cases endpoints (demographics, seasonality, diagnoses)
and insights; harden auth and file-based loaders
Data & tooling:
- Add processed outpatient/inpatient/combined case parquet (LFS)
- Add nested CLAUDE.md guides, pyrightconfig, and test updates
2026-06-21 17:35:03 +08:00
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Pillow>=10.0.0
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