January 2026 monthly summary for the FluSight-forecast-hub repository (cdcepi/FluSight-forecast-hub): Key features delivered: - FluSight Ensemble Forecasting Hub Submission: Added an ensemble submission to the FluSight forecasting hub by integrating multiple models to improve forecast accuracy. Commits: 68395df5e1e7d6c93c68f0dcfac47345fff547ba; 59b1ac23c15929ef68587f215b8733b40e5df79f. - JHU CSSE Ensemble Submission Updates: Updated the JHU CSSE ensemble submission with enhancements to forecasting models and data processing logic. Commit: 9d1c596e52753db8d8b8e57f2720a8eb4ff4bd87. Major bugs fixed: - Contributor Metadata and Model Description Clarifications: Corrected contributor information and refined model descriptions for clarity and accuracy. Commit: d2aff5c2677fae466a1265af203c1410d757d699. Overall impact and accomplishments: - Delivered a more robust ensemble-based forecasting workflow, improving forecast accuracy and reliability for public health decision-making. - Improved metadata quality and model documentation, enhancing transparency and governance of submitted models. - Strengthened end-to-end traceability from development to deployment via explicit commit references. Technologies/skills demonstrated: - Ensemble modeling integration, data processing enhancements, and model submission workflows. - Proficient use of Git for traceability and changelog clarity. - Documentation and metadata governance to support reproducibility and stakeholder trust.

August 2025 (2025-08) monthly summary for cdcepi/FluSight-forecast-hub. Delivered a focused metadata improvement for the JHU CSSE Ensemble Model by updating the YAML to correct the website URL and adding a new citation, improving attribution, discoverability, and reproducibility of ensemble forecasts used by the FluSight hub.

May 2025: Delivered new CSV exports for influenza hospitalization forecasts in FluSight-forecast-hub, including weekly ensemble and percentile-based forecasts across locations and horizons. This data product improves data accessibility, reproducibility, and decision-support for public health dashboards and analyses. No major bugs fixed this month; the team focused on data export workflows and release readiness. Key skills demonstrated include data engineering (CSV exports, ensemble/percentile handling), version control, and cross-repo collaboration.

April 2025 monthly summary focused on delivering ensemble forecast data for two major forecasting hubs (COVID-19 Forecast Hub and FluSight Forecast Hub) and improving data quality. Implemented and released ensemble forecast submissions and related data for April 2025, enabling robust, horizon-aware aggregation and analysis to support public health decision-making. Data hygiene improvements were performed to ensure integrity of the forecast datasets across repositories.

March 2025 monthly highlights: Expanded forecast data publications across two core repositories (CDCgov/covid19-forecast-hub and cdcepi/FluSight-forecast-hub) to strengthen decision support, improve data standardization, and reduce data ambiguity. Delivered new ensemble forecast data for both diseases, aligned with established submission standards, and performed targeted repository cleanup to optimize storage and clarity.

February 2025 monthly summary for FluSight-forecast-hub and CDC COVID-19 forecast hub. Key features delivered include ensemble forecast CSV data assets for influenza hospitalizations and weekly influenza-like illness (ILI) across multiple locations, horizons, and quantiles, as well as weekly ensemble submission data files for JHU_CSSE-CSSE. Data validation scaffolding was added to improve data quality, and repository documentation and organization were refined to better support downstream analytics and forecasting workflows. Overall, the month expanded data availability for near-term forecasts and strengthened end-to-end data pipelines across hubs.

January 2025: Delivered publication-ready ensemble forecast data for FluSight-forecast-hub and CDC COVID-19 Forecast Hub, expanded cycle coverage, and resolved data integrity issues to support timely, location-aware public health forecasts.

December 2024 monthly work summary for FluSight-forecast-hub and covid19-forecast-hub. Focused on delivering two major ensemble forecast data features and maintaining the weekly submission pipelines to JHU CSSE-CSSE. Key outcomes include the creation of ensemble influenza hospitalization forecast CSVs for 2024-12 with a quantile-formatted output and a structured file layout (reference date, target, horizon, target end date, location, output type, output type ID, value), along with updated weekly COVID-19 hospitalization forecast data across multiple locations and horizons. Ensured compliance with JHU CSSE forecast hub submission standards and maintained reproducibility through date-stamped submissions and consistent commit messages. No major bugs reported this month; minor data validation enhancements were implemented to improve submission consistency.

November 2024 focused on delivering forecast model updates, data release artifacts, and governance improvements across FluSight-forecast-hub and covid19-forecast-hub. Highlights include MPOG-Ensemble model update and FluSight data release, timely 2024-11 forecast data updates, and clearer maintenance ownership for ensembles.