List of Hubs

Real-time Collaborative Public Health Hubs

The hubs listed below are all active. Many of these hubs have open source data available and ready to analyze in hubverse format.

Do you have a hub, but it’s not listed? Tell us about your hub!

US Centers for Disease Control and Prevention

89 models submitted
FluSight Forecast Hub

This project collects forecasts for weekly new hospitalizations due to confirmed influenza.

Licensed under the MIT License

Contact: FluSight Forecast Hub

22 models submitted
COVID-19 Forecast Hub

A repository run by the US CDC to collect forecasts of weekly incident COVID-19 hospital admissions.

Licensed under the Apache License 2.0

Contact: COVID-19 Forecast Hub

9 models submitted
RSV Forecast Hub

A repository run by the US CDC to collect forecasts of weekly new hospitalizations and the percentage of emergency department visits due to RSV.

Licensed under the MIT License

Contact: RSV Hub

Paraguay Forecast Hub

The Paraguay Forecast Hub is designed to collect forecast data for weekly new severe acute respiratory infection (SARI) hospitalizations during 2024 influenza season in Paraguay.


Contact: Paraguay Forecast Hub

  • Paraguay Forecast Hub
WHO FluNet Hub

An effort to produce -1 to 4 week ahead forecasts using the World Health Organization FluNet surveillance data for Australia, Brazil, Chile, South Africa, and Thailand.


Contact: WHO FluNet Hub

  • WHO FluNet Hub
Scenario Modeling Hub Coordination Team

12 models submitted
COVID-19 Scenario Modeling Hub

The COVID-19 Scenario Modeling Hub aims to examine the impact of changes in behavior and control, new variants, and vaccination over a 3-month to 2-year time period, depending on the round.

Licensed under the MIT License

Contact: Scenario Modeling Hub Coordination Team

16 models submitted
Flu Scenario Modeling Hub

The Flu Scenario Modeling Hub aims to anticipate the impact of changes in vaccination coverage and effectiveness, prior population immunity, and dominant subtypes over the course of each influenza season.

Licensed under the MIT License

Contact: Scenario Modeling Hub Coordination Team

18 models submitted
RSV Scenario Modeling Hub

The RSV Scenario Modeling Hub aims to project the impacts of new vaccines and monoclonal antibodies over the course of each RSV season.

Licensed under the MIT License

Contact: Scenario Modeling Hub Coordination Team

7 models submitted
COVID-19 Scenario Modeling Hub - Research

The COVID-19 Research Scenario Modeling Hub intended to encourage modeling to address specific COVID-19 research questions. Specific focus areas in the pipeline include revisiting whether we could have projected the heterogeneities observed during early stages of the pandemic and whether better modeling may have been able to inform action to reduce these heterogeneities. Additional research topics may follow.

Licensed under the MIT License

Contact: Scenario Modeling Hub Coordination Team

epiENGAGE

10 models submitted
Variant Nowcast Hub

A repository to store COVID-19 variant nowcasts collected as a modeling hub.

Licensed under the MIT License

Contact: Nick Reich

15 models submitted
Flu MetroCast Hub

The Flu MetroCast Hub is a modeling hub with the goal of collecting city- and county-level forecasts of influenza activity. The hub is led by the epiENGAGE team from UT-Austin and UMass-Amherst, as a part of the CDC Insight Net program.

Licensed under the MIT License

Contact: epiENGAGE Flu MetroCast Team

AI4Casting (U of Guelph)

12 models submitted
Hospitalization Forecast Hub

Public Health Ontario’s Ontario Respiratory Virus Tool Data monitors the capacity of hospitals, helping policymakers and health professionals gauge the burden of disease on the healthcare system. It tracks real-time bed utilization, enabling effective planning for resource allocation, particularly during times of heightened disease outbreaks.

Licensed under the MIT License

Contact: Siddhesh Suresh Kadam

15 models submitted
RVDSS Forecast Hub

RVDSS is a national surveillance system that collects and reports data on the detection of respiratory viruses, including RSV (Respiratory Syncytial Virus), SARS-CoV-2 (COVID-19), and Influenza. Through laboratory-confirmed positive tests, the system helps track the spread of these viruses, offering essential data to support public health measures, pandemic preparedness, and disease control.

Licensed under the MIT License

Contact: Siddhesh Suresh Kadam

European Centre for Disease Prevention and Control (ECDC)

26 models submitted
RespiCast Syndromic Indicators

The European Syndromic Indicators Forecasting Hub collates weekly forecasts on Influenza-Like-Illness (ILI) and Acute Respiratory Infection (ARI) incidence in EU/EEA countries.


Contact: European Centre for Disease Prevention and Control (ECDC)

19 models submitted
European Covid-19 Forecasting Hub

The European Covid-19 Forecasting Hub collates weekly forecasts on Covid-19 Hospital Admissions in EU/EEA countries.


Contact: European Centre for Disease Prevention and Control (ECDC)

11 models submitted
RespiCompass - ECDC’s Respiratory Diseases Scenario Hub

RespiCompass is a platform dedicated to hosting and sharing scenario modelling results for respiratory pathogens. This initiative is funded and led by the European Centre for Disease Prevention and Control (ECDC). RespiCompass develops and applies multi-model analyses through international modelling collaboration.


Contact: European Centre for Disease Prevention and Control (ECDC)

California Department of Public Health

25 models submitted
West Nile Virus Forecasting Hub

This is an open (by request) forecasting challenge to predict monthly West Nile virus (WNV) total disease cases in select California counties in 2024 in the months of May through December. This is the first iteration of a California county-specific Forecasting Challenge.

Licensed under the CC-BY 4.0 license

Contact: West Nile Virus Forecasting Hub

Atlantic Coast Center for Infectious Disease Dynamics and Analytics
The Atlantic Coast Center for Infectious Disease Dynamics and Analytics is devoted to rapid, coordinated response to infectious disease threats through innovative modeling techniques, enhanced data integration, and training a new generation of public health experts.
2 models submitted
NC DHHS / ACCIDDA Forecasting Collaboration

Flu Forecasts for NC DHHS. Two models (influpaint + a mechanistic dual strain model). Similar than Flusight but using state health data for Flu, COVID-19 and RSV as targets instead. We run a lean hubverse structure, where most of our repository is hubverse compliant but not all. It allows us to leverage the amazing hubverse tools which have been instrumental in this collaboration.


Contact: Sara Loo

Contact: Matthew Mietchen

Australia-Aotearoa Consortium for Epidemic Forecasting & Analytics
ACEFA aims to support the timely, effective response to epidemic diseases in Australia through real-time data analytics, modelling, and forecasting.
Australia-Aotearoa Forecasting Hub

The Australia–Aotearoa Forecasting Hub collects submissions of forecasted daily case incidence for SARS-CoV-2, RSV, and influenza virus. As an experimental target, the hub also collects submissions of predicted epidemic peak size and timing for each of these pathogens.


Contact: Emily Kay

  • Australia-Aotearoa Forecasting Hub

Archival Hubs

The hubverse

99 models submitted
Archival FluSight hub (2015–2019)

original submission to FluSight, reformatted to align with the hubverse format.

Licensed under the MIT License

Contact: Luke Mullany

European Centre for Disease Prevention and Control (ECDC)

16 models submitted
Archival RespiCast Influenza Hub (2023–2024)

This repository archives the forecasts computed during season 2023/2024.


Contact: European Centre for Disease Prevention and Control (ECDC)

12 models submitted
Archival RespiCast ARI Hub (2023–2024)

This repository archives the forecasts computed during season 2023/2024.


Contact: European Centre for Disease Prevention and Control (ECDC)

Johns Hopkins University Infectious Disease Dynamics Group

9 models submitted
Archival US RSV Forecast Hub 2024–2025

This repository was designed to collect forecast data for the 2024-2025 RSV Forecast Hub run by Johns Hopkins University Infectious Disease Dynamics Group. This project collected forecasts for weekly new hospitalizations due to confirmed RSV.

Licensed under the MIT License

Contact: Shaun Truelove

Training Hubs

Reich Lab

21 models submitted
SISMID ILI Forecasting Sandbox

Sandbox hub providing an environment for training, research, or benchmarking purposes. This hub was created for the 2025 SISMID course on Nowcasting and Forecasting Infectious Disease Dynamics (https://nfidd.github.io/sismid).

Licensed under the MIT License

Contact: Nick Reich

Model Development Hubs

Reich Lab

9 models submitted
Variant Nowcast Model Development Retrospective Hub

Hub hosting retrospective model development for the UMass teams’s submission to the U.S. SARS-CoV-2 Variant Nowcast Hub.

Licensed under the MIT License

Contact: Nick Reich

Flusion Retrospective Hub

Hub hosting model outputs generated in retrospective analyses for the UMass-flusion model submitted to FluSight.

Licensed under the MIT License

Contact: Nick Reich

Flusion Submissions Hub

Hub hosting model outputs generated in real time for weekly model submissions for the UMass-flusion model submitted to FluSight.

Licensed under the MIT License

Contact: Nick Reich

24 models submitted
Forecast Sandbox

Hub serving as a sandbox/testbed for experimental FluSight forecasts before and during the 2025/2026 respiratory virus forecasting season.

Licensed under the MIT License

Contact: Nick Reich

7 models submitted
MetroCast Sandbox

Hub serving as a sandbox/testbed for experimental Flu MetroCast forecasts before and during the 2025/2026 respiratory virus forecasting season.

Licensed under the MIT License

Contact: Nick Reich