cdcepi/FluSight-forecast-hub
May 2025 – May 2026
7 Months active
Languages Used
CSVPythonR
Technical Skills
Data AnalysisData ManagementEpidemiological ModelingForecastingTime Series ForecastingPython
hieuvu
PROFILE
Hieuvu
Worked on the cdcepi/FluSight-forecast-hub repository, delivering a series of automated influenza forecast updates and data export features over seven months. Developed reproducible pipelines for integrating, validating, and exporting weekly and monthly forecast results, supporting public health decision-making with timely, accessible data. Leveraged Python and R for data analysis, time series forecasting, and statistical modeling, ensuring outputs aligned with evolving data sources and repository standards. Maintained rigorous version control and clear commit traceability, emphasizing data integrity and reproducibility. Focused on enhancing predictive analytics workflows, the work improved the reliability and accessibility of epidemiological forecasts without introducing or fixing critical bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
26Total
Bugs
0
Commits
26
Features
7
Lines of code
130,170
Activity Months7
Your Network
74 peopleShared Repositories
66
Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026: Delivered an updated forecast output for May 2026 in FluSight-forecast-hub, reflecting updates to the predictive model outputs (May 23, 2026). The update is tracked in commit a5508f7253f37ec97dc632dcdaba0c1b448dbac1 with message 'results for 2026-05-23'. No critical bugs fixed this month; ongoing QA ensured data integrity and backward compatibility. Overall, the update improves timeliness and accuracy of seasonality forecasts, supporting decision-making for public health responses. Technologies/skills demonstrated include Python-based model output processing, Git-based versioning, and validation checks; repository cdcepi/FluSight-forecast-hub.
1 Commits • 1 Features
May 1, 2026May 2026: Delivered an updated forecast output for May 2026 in FluSight-forecast-hub, reflecting updates to the predictive model outputs (May 23, 2026). The update is tracked in commit a5508f7253f37ec97dc632dcdaba0c1b448dbac1 with message 'results for 2026-05-23'. No critical bugs fixed this month; ongoing QA ensured data integrity and backward compatibility. Overall, the update improves timeliness and accuracy of seasonality forecasts, supporting decision-making for public health responses. Technologies/skills demonstrated include Python-based model output processing, Git-based versioning, and validation checks; repository cdcepi/FluSight-forecast-hub.
May 2026
April 2026
5 Commits • 1 Features
Apr 1, 2026April 2026 highlights for cdcepi/FluSight-forecast-hub: Delivered updated forecast results for multiple dates in April 2026, enhancing predictive analytics outputs and ensuring latest predictions are displayed. Focused on data freshness and display accuracy while maintaining excellent repo hygiene. No major bugs reported this month; the work prioritized reliability, traceability, and timely decision-support for public health planning.
April 2026
5 Commits • 1 Features
Apr 1, 2026April 2026 highlights for cdcepi/FluSight-forecast-hub: Delivered updated forecast results for multiple dates in April 2026, enhancing predictive analytics outputs and ensuring latest predictions are displayed. Focused on data freshness and display accuracy while maintaining excellent repo hygiene. No major bugs reported this month; the work prioritized reliability, traceability, and timely decision-support for public health planning.
March 2026
5 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for FluSight-forecast-hub focusing on delivering the March forecast results update across multiple dates, with refinements to predictive analytics, data processing, and output generation. Achieved timely, reproducible outputs aligned with updated data sources, enabling informed public health decision-making.
5 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for FluSight-forecast-hub focusing on delivering the March forecast results update across multiple dates, with refinements to predictive analytics, data processing, and output generation. Achieved timely, reproducible outputs aligned with updated data sources, enabling informed public health decision-making.
March 2026
February 2026
3 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for cdcepi/FluSight-forecast-hub: Implemented the February forecast results refresh, updating hub outputs with latest predictions and inputs for 2026-02-14, 2026-02-21, and 2026-02-28. This ensured the hub reflects current data and forecasts, enabling timely decision-making for February activities.
February 2026
3 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for cdcepi/FluSight-forecast-hub: Implemented the February forecast results refresh, updating hub outputs with latest predictions and inputs for 2026-02-14, 2026-02-21, and 2026-02-28. This ensured the hub reflects current data and forecasts, enabling timely decision-making for February activities.
January 2026
5 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for repo cdcepi/FluSight-forecast-hub detailing a focused forecast update cycle and its impact. Delivered updated forecast results for January 2026 across five forecast dates (2026-01-03, 2026-01-10, 2026-01-17, 2026-01-24, 2026-01-31) with enhancements to data processing and output generation to support timely, accurate forecast production. Ensured clear traceability with per-date commits and maintained alignment with hub standards.
5 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for repo cdcepi/FluSight-forecast-hub detailing a focused forecast update cycle and its impact. Delivered updated forecast results for January 2026 across five forecast dates (2026-01-03, 2026-01-10, 2026-01-17, 2026-01-24, 2026-01-31) with enhancements to data processing and output generation to support timely, accurate forecast production. Ensured clear traceability with per-date commits and maintained alignment with hub standards.
January 2026
December 2025
4 Commits • 1 Features
Dec 1, 2025December 2025: Delivered updated FluSight forecast results for the FluSight-forecast-hub by integrating data and forecast outputs for 2025-12-06, 2025-12-13, 2025-12-20, and 2025-12-27; refreshed hub and model results to reflect current predictions. This provides timely, data-driven guidance for planning and resource allocation. No major bugs fixed this month; focus was on data integration, validation, and deployment of updated forecasts. Technologies demonstrated include data integration pipelines, Git-based version control with explicit commit messages, and reproducible forecasting workflows.
December 2025
4 Commits • 1 Features
Dec 1, 2025December 2025: Delivered updated FluSight forecast results for the FluSight-forecast-hub by integrating data and forecast outputs for 2025-12-06, 2025-12-13, 2025-12-20, and 2025-12-27; refreshed hub and model results to reflect current predictions. This provides timely, data-driven guidance for planning and resource allocation. No major bugs fixed this month; focus was on data integration, validation, and deployment of updated forecasts. Technologies demonstrated include data integration pipelines, Git-based version control with explicit commit messages, and reproducible forecasting workflows.
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 focused on delivering a new automated CSV export feature for influenza forecast results in the FluSight-forecast-hub, enabling timely monitoring of trends across locations and horizons. The work is tightly aligned with forecasting outputs and repository standards, providing reproducible access to weekly metrics for downstream analyses.
3 Commits • 1 Features
May 1, 2025May 2025 focused on delivering a new automated CSV export feature for influenza forecast results in the FluSight-forecast-hub, enabling timely monitoring of trends across locations and horizons. The work is tightly aligned with forecasting outputs and repository standards, providing reproducible access to weekly metrics for downstream analyses.
May 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability95.4%
Architecture95.4%
Performance95.4%
AI Usage27.6%
Skills & Technologies
Programming Languages
CSVPythonR
Technical Skills
Data AnalysisData ManagementEpidemiological ModelingForecastingPythonTime Series Forecastingdata analysisforecastingmachine learningstatistical modeling
Repositories Contributed To
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