Processing Health Data by Overture Map - Building for UK, NG, USA

[denironyx]

📝 Description

We aim to extract health-related facility data from Overture Maps' Building dataset to integrate it into our harmonized health data workflow. This will allow us to enrich our dataset with hospitals, clinics, and other public health facilities worldwide.

🎯 Acceptance Criteria

• Create a script in Python (using overturemaps-py) to query and filter health-related building with a subtype "medical"
• Ensure the script retrieves data based on bounding box (bbox) coordinates for a given region.
• Convert the extracted data into a structured format (e.g., GeoDataFrame or DataFrame) for easy integration.
• Remove missing or irrelevant fields to keep only essential attributes (e.g., name, category, address, coordinates).
• Write the final cleaned dataset to Parquet (.parquet) or GeoPackage (.gpkg) format for further processing.
• Verify and validate the extracted data by running queries for multiple regions (e.g., US, UK, Nigeria).

📌 Suggested Approach

• Use the overturemaps-py package to query the places schema within a given bounding box (bbox).
• Filter results to include only health-related subtype "medical"
• Format the extracted data and remove irrelevant fields.
• Export the final dataset in open formats for easy sharing and analysis.

💡 How You Can Help -> 🚀 Want to contribute? Feel free to:

• Fork the repo and create a new branch for this feature.
• Implement the script following the acceptance criteria.
• Submit a Pull Request (PR) with a brief description of your approach.
• Share additional data sources or optimizations that improve data extraction and filtering.