2025-03 Monthly Summary for CDCgov/covid19-forecast-hub: Focused on delivering a feature-rich hospitalization forecast data integration and reinforcing the foundation for probabilistic forecasting. The work resulted in new CSV outputs for weekly incidence across locations and forecast horizons, plus probabilistic forecast quantiles for weekly hospitalization incidence. No major bugs fixed this month; activity was centered on feature delivery, data quality, and reproducible model integration. Impact: improved data availability for operators and decision-makers, enabling better resource planning and risk assessment. Technologies/skills demonstrated include Python-based data pipelines, CSV data exports, probabilistic modeling, and model integration with PyRenew Models; strong release discipline and collaboration evidenced by commits.

December 2024 monthly summary for CDCgov/pyrenew-hew: Delivered a new NHSN data extraction capability (pull_nhsn.R) to streamline NHSN data retrieval across specified date ranges and diseases, with output to file or stdout. This work strengthens the data pipeline for regulatory reporting and analytics, improves reproducibility, and sets the stage for automated NHSN reporting.