May 2026 monthly summary focused on delivering data submission integration for CADPH-FluCAT within the FluSight-forecast-hub, establishing an end-to-end data packaging and dispatch pathway for forecast-related data.

April 2026 focused on delivering and stabilizing CADPH data submissions for the FluSight-forecast-hub and the COVID-19 forecasting hub, with emphasis on California state data and quantile-based reporting. Implemented centralized CADPH-FluCAT submission for CA-state data with quantile-based analysis, supported by a sequence of weekly commits to FluSight-forecast-hub. Executed CADPH-CovidCAT data submissions for April 2026 to the COVID-19 forecasting hub, with automated PR merges leveraging authorized modification rights. No major bug fixes documented in this period; the work emphasizes robust data pipelines, reproducibility, and timely hub reporting across two repositories.

March 2026: Delivered critical data submission enhancements for state-level flu and COVID-19 forecasting hubs, focusing on California-state data and quantile reporting (FluCAT) and consolidating CADPH-CovidCAT submission workflows to improve timing and reproducibility of monthly updates. Implemented through four commits per hub in March and merged via authorized PRs, enabling more timely, granular forecasts and streamlined data reporting for stakeholders.

February 2026 performance summary for the CDCgov/covid19-forecast-hub. This period focused on integrating external data to improve the forecast dataset's coverage and timeliness. No major bug fixes were recorded in the provided data.

January 2026 monthly summary for CDCgov/covid19-forecast-hub: Focused on California state data via the CADPH-CovidCAT ensemble. Delivered configuration updates, YAML-based workflow, and four weekly submissions with quantile outputs. Maintained robust documentation and commit traceability.

December 2025 monthly summary for the CDC forecasting project (CDCgov/covid19-forecast-hub). Focused on delivering a centralized CADPH-CovidCAT ensemble model configuration for California forecasts, standardizing outputs and metadata, and establishing a repeatable weekly submission workflow. The work improved submission transparency, collaboration, and governance, while reducing configuration drift and manual errors across multiple December weeks.

November 2025: Implemented a dedicated CovidCAT Ensemble Model Configuration YAML in the CDC covid19-forecast-hub to capture contributors, methods, and data inputs, enabling configurable and reproducible ensemble forecasts. The change enhances workflow configurability, traceability, and cross-team collaboration for forecasting workflows, aligned with the CADPH-CovidCAT submission for the week of 2025-11-29 (commit 1576ddfc4fae1ba9ac6e543ece4d965f96b91f18).

May 2025 monthly summary for cdcepi/FluSight-forecast-hub. Key feature delivered: CADPH-FluCAT weekly flu hospitalization forecast CSV publications with multi-horizon quantile predictions for various CADPH locations. Four submission cycles completed in May 2025 (2025-05-10, 2025-05-17, 2025-05-24, 2025-05-31). No major bugs reported this month. Overall impact: improved forecast timeliness and accessibility for CADPH, enabling data-driven decisions for flu response. Technologies/skills demonstrated: Python-based data pipelines, CSV generation, forecast quantile handling, Git commit traceability, automated submission workflows, collaboration with FluSight-forecast-hub.

April 2025: CADPH-FluCAT hospitalization forecast CSV submissions for CA-state and related locations released via FluSight-forecast-hub. Deliveries include quantile-based weekly forecast CSVs for dates 2025-04-05, 2025-04-12, 2025-04-26, and 2025-05-03, with multiple horizons and target end dates. This work enhances data availability, reproducibility, and operational readiness for public health decision-making.

March 2025 monthly summary for FluSight-forecast-hub: Delivered four CADPH-FluCAT ensemble California weekly hospitalization forecast data releases with horizon-based quantile forecasts, aligned to March 2025 forecast dates. Strengthened data reproducibility, traceability, and public-health value through robust release notes and commit-level documentation.

February 2025 — Delivered end-to-end CADPH-FluCAT forecast data ingestion and publication for Feb–Mar 2025 in FluSight-forecast-hub. Ingested new CSV forecast data for the CADPH-FluCAT ensemble, including CA-state and location-specific forecasts across multiple horizons and quantiles for four submission dates (2025-02-08, 2025-02-15, 2025-02-22, 2025-03-01). Submissions were committed with full traceability, enabling timely dissemination and downstream consumption by forecasting and decision-support teams.

January 2025 monthly performance summary for the cdcepi/FluSight-forecast-hub repository. Focused on delivering timely forecast data for California (CA-state) and maintaining contributor governance, with no major bugs reported. Highlighted work demonstrates strong data engineering, release management, and collaboration skills, delivering business value through actionable forecast products.

December 2024 focused on delivering automated California influenza hospitalization forecast submissions (CADPH/CalCAT FluCAT) for the FluSight-forecast-hub. Implemented and validated CSV submissions for 2024-12-07, 2024-12-14, 2024-12-21, and 2024-12-28, including quantile predictions and state-level outputs to support end-to-end forecasting workflow. The changes improve forecast timeliness and data availability for state-level decision-making, enabling CADPH/CalCAT to ingest timely forecasts into the FluSight pipeline.

Monthly summary for 2024-11 focused on feature delivery, bug handling, and overall impact for the FluSight-forecast-hub repository. Key feature delivered this month is the CADPH-FluCAT submission data CSV for November 30, 2024, including California-state level data and quantile information, with weekly influenza hospitalization forecasts across horizons and quantiles. No major bugs reported for this period; ongoing data validation and public-data publication tasks were completed. The work advances the reliability and timeliness of the forecast submission workflow, enabling more accurate dissemination for stakeholders. Repository: cdcepi/FluSight-forecast-hub