February 2026 monthly summary for the FluSight-forecast-hub (cdcepi/FluSight-forecast-hub): Delivered a PyRenew Forecasts Data Refresh for Feb 18, 2026 to align forecasts with the latest data, improving forecast accuracy and timeliness for February 2026. The update was implemented via a targeted data refresh commit in the repository.

For 2025-12 in the FluSight-forecast-hub repository, the month centered on a critical data accuracy fix for PyRenew forecasts. Updated the PyRenew forecasts table to reflect the latest December 24, 2025 data, ensuring forecasts stay aligned with current observations and preserving the integrity of flu-trend projections used by stakeholders. This fix improves forecast reliability for decision-makers and maintains historical traceability through a single commit. No new user-facing features were introduced this month; the focus was on data correctness, robustness, and maintainability of the forecasting data layer.

Month: 2025-11; For repository cdcepi/FluSight-forecast-hub, delivered targeted features and fixed critical issues to enhance forecast data quality and stability. Key outcomes include improved forecast accuracy and geographic coverage, restored functionality after unintended deletions, and a solid base for ongoing data freshness and governance. This work supports better public health decision-making and reduces operational risk while showcasing Python data pipelines, data engineering, and Git discipline.

March 2025 monthly summary for the FluSight-forecast-hub repository (cdcepi). Focused on delivering forecast data exports, expanding and cleaning datasets, and strengthening model governance and data distribution for public health planning.

February 2025 monthly summary focusing on two primary feature deliverables across two repositories, with no explicit major bugs documented in the provided data. Key features delivered: 1) Pre-commit Hooks Version Upgrades for Development Environment in CDCgov/wastewater-informed-covid-forecasting to improve code quality, consistency, and security; commit 421b8c5259d30c325ce5d2edc3c3b76047b61994. 2) Influenza forecast data exports (Pyrenew_H_Flu) added in cdcepi/FluSight-forecast-hub, providing CSV exports with detailed forecasts across horizons and locations including quantile values to support monitoring and public health decision-making; commits eight files across four commits: 8f81d122ac0d2558c9bce1ad0d32566ed4245d29, d3a01e60b5188760472385cc12955bbaef537808, 1a5abf3e8e77f0076f674a65640f8dc356d465c8, 4eb278e52b7204bef8cb294644f4afc9294a1bb1. 3) Overall impact: improved development hygiene, more reliable data exports for public health surveillance, enabling faster insights and decision-making. 4) Technologies/skills demonstrated: pre-commit tooling and configuration, Python-based data export pipelines, CSV generation, version control hygiene, cross-repo collaboration.

January 2025: Delivered new influenza forecast CSV releases for Pyrenew_H_Flu and Pyrenew (H1N1) with daily forecasts across locations and horizons and quantile values. Updated FluSight-forecast-hub model-output data to align with forecasting workflows and downstream analysis. This work enhances data timeliness, accessibility, and reproducibility for public health decision-making and supports ongoing forecasting efforts.