February 2026 monthly summary for CDCgov/covid19-forecast-hub: Delivered the CMU-Delphi Model Integration for COVID-19 Forecasting by adding a new predictive data source and completing the submission to the hub. No major bugs fixed this month; the focus was on integration, validation, and documentation. Overall impact includes expanded forecast coverage and improved traceability, enabling more informed decision-making. Technologies demonstrated include model integration, version-controlled submissions, and end-to-end data/forecast pipeline validation.

January 2026: Implemented integration of CMU-Delphi data into the COVID-19 Forecast Hub and updated the forecasting model to leverage CMU-Delphi submissions. Added data for 2025-12-31 and 2026-01-07. Achieved four CMU-Delphi related commits/submissions this month, with complete commit traceability, contributing to improved forecast accuracy and timeliness.

December 2025 for CDCgov/covid19-forecast-hub: Delivered COVID-19 Forecasting Model Enhancement with CMU-Delphi Data Submissions by integrating CMU-Delphi data submissions into the forecasting pipeline, improving accuracy and reliability. The work is tracked under commit 65c70f3a47af3f6598d6280f2152d29d4ee0869b ("CMU-Delphi submission 2025-12-31 (#1168)"). No major bugs were reported this month. Overall impact: stronger, data-driven forecasts with faster data-to-forecast cycle and better collaboration with external data partners. Technologies/skills demonstrated: data ingestion and integration, version control, reproducible submission workflows, cross-team collaboration, and forecasting pipeline enhancements.

October 2025 monthly summary: Delivered critical data updates and quality controls for FluSight-forecast-hub, strengthening data freshness, reliability, and decision support for submission workflows.

Concise monthly summary for 2025-09 focusing on business value and technical achievements for the CDC COVID-19 Forecast Hub (CDCgov/covid19-forecast-hub). This month featured two major data updates: CMU-TimeSeries and CMU-Delphi NSSP. Work emphasized data freshness, forecast accuracy, and auditable releases across shared data pipelines.

August 2025 focused on delivering CMU-Delphi hospitalization forecast data to the CDC COVID-19 Forecast Hub, adding new CSV time-series files for weekly incident hospitalizations across multiple locations and horizons. Implemented and submitted four weekly CMU-Delphi submissions (2025-08-06, 2025-08-13, 2025-08-20, 2025-08-27) with commit references c7e4ce55688edbe18a0acc8562addbc27f1d0a79, b469e6f5c009f52022843904cc780c1cffcf2a36, 4eddd4cbb112703bf2eaa9262c74f980dd0bd0cc, cdf5aeed5db39c688eff38ed41612f1f5c2acc3d. These deliveries extend hub coverage, support CMU-Delphi workflows, and enhance public health monitoring. Demonstrated data engineering for time-series forecasts, reproducible submission via explicit commit history, and cross-location forecasting capabilities.

July 2025 monthly summary for CDCgov/covid19-forecast-hub: Delivered end-to-end ingestion and publication of CMU-Delphi July 2025 forecast submissions as time-series CSVs across multiple locations, horizons, and quantiles. This supports timely hub submissions and public data access for July 2025 forecasts (dates: Jul 2, Jul 16, Jul 24, Jul 30). The work improves forecast analytics, data quality, and reproducibility, with traceable provenance via commit history.

In June 2025, the team delivered enhancements to CMU-Delphi data submissions and updated forecast data, strengthening data availability and timeliness for the COVID-19 Forecast Hub. The work laid groundwork for expanded time-series datasets and ensured ongoing alignment with hub data standards and submission cadences.

May 2025 monthly summary focusing on feature delivery and forecasting data pipelines across two hubs, highlighting end-to-end data ingestion, time-series integration, and consolidated submissions.

April 2025: Delivered end-to-end data ingestion and baseline updates for CMU-Delphi influenza forecasting and refreshed COVID-19 forecast data, enabling timelier submissions and higher-fidelity model inputs across FluSight-forecast-hub and CDC COVID-19 forecast-hub. Strengthened data standards, increased automation, and documented changes to support forecasting, reporting, and decision-making.

March 2025 monthly summary: Delivered new forecast CSV exports for CMU-Delphi and updated forecast data for the CDC COVID-19 Forecast Hub. Outputs enable timely, location- and horizon-specific weekly forecasts for hospitalizations, improving decision support for public health planning. Highlights include the rollout of two CMU-Delphi influenza forecast CSVs and one influenza-like illness (ILI) forecast CSV for FluSight-forecast-hub, plus updates to CMU-Delphi March 2025 forecasts in CDCgov/covid19-forecast-hub.

February 2025: Delivered new forecast datasets and weekly publication pipelines across FluSight-forecast-hub and CDC covid19-forecast-hub. Strengthened data quality, reproducibility, and cross-domain forecasting with influenza, COVID-19, and climate data. Maintained production cadence with CMU-Delphi submissions and multiple weekly updates.

January 2025 monthly summary for development work across the CDC COVID-19 Forecast Hub and FluSight Forecast Hub. Delivered two data integration enhancements to support public-health forecasting and monitoring: a new COVID-19 hospitalization time-series data CSV with horizon-specific quantiles, and a broadened CMU-TimeSeries dataset adding weekly quantile forecasts for flu hospitalizations across multiple locations. These changes improve data standardization, facilitate CMU-Delphi submissions, and accelerate public health decision-making through more timely and transparent forecast data.

December 2024 monthly summary: Delivered refreshed CMU Time Series and CMU-Delphi hospitalization forecast data across the CDC Forecast Hub and FluSight Hub, enabling up-to-date forecasting and evaluation. Key work includes batch updates to include 2024-11-23 data, addition of new time-series CSVs, and formatting fixes for CMU-TimeSeries and CMU-Delphi submissions, plus expanded coverage for weekly incident hospitalizations across quantiles and horizons with new CMU-Delphi forecast entries. FluSight updates covered CMU-Delphi time-series submission data with US predictions for 2024-12-14 and a large data append for evaluation/submission, accompanied by a data integrity fix to remove duplicate CMU-Delphi time series entries. Commit traces include CDC hub updates: c0cf2a2b7f749301192c32857e9a3bf080971c31, 13050ddfc3c96ed0cabf52e2b7369ac2daefa1d0, ee00d231afc1cb522124c2d189faf9460594c320; FluSight hub updates: 7854ef399c7739d4f5d04c584709138ef996914b, 79d01fc921585b36ef7ecef88a0079e681e75a2a; data integrity fix: 01130ac0c6b0e5d93b8209ff57ba04daededabb4. Overall, the month delivered faster data refresh cycles, higher data quality, and improved readiness for submissions and evaluations across both hubs.

November 2024: Delivered key CMU-TimeSeries data and metadata improvements across FluSight-forecast-hub and CDC COVID-19 forecast-hub. Implemented ingestion and quality improvements for CMU-TimeSeries forecast data, refreshed model metadata for branding and discoverability, expanded data coverage with 2024-11 updates and 2024-11-23/30 forecasts, and completed CMU-Delphi submissions. These changes improve forecast accuracy, data integrity, and user-facing documentation across repositories.