List of hubs

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


hubs: # NOTE: to add a new organization: # 1. copy and paste this example # 2. replace the example: key with a slug for your organization # 3. update the values below example: logo: /includes/img/example-logo.png name: “Example Organization” description: | A description of the organization, which can include mission and funding. hubs: # a list of hubs that require a name, description, contact, and license # — REQUIRED — - name: “Name of Hub” description: | A description that can span multiple lines # from admin.json contact: - name: “hub-info-person” email: “hub-info@example.com” license: “License Name (e.g MIT License)” # — OPTIONAL —- repo: “example-org/hub-name” # must be slug, not URL aws: “aws-bucket-name” # from your admin.json insights: https://example.org/hub-insights/ forecasts: https://example.org/hub-insights/forecasts.html evals: https://example.org/hub-insights/evals.html count: 5 # number of models submitted (this is automatically updated if your hub is public) hubverse: logo: /brand/logo/logo-with-text.png name: “The hubverse” hubs: - name: “Archival FluSight hub (2015–2019)” description: “original submission to FluSight, reformatted to align with the hubverse format.” contact: - name: “Luke Mullany” email: “Luke.Mullany@jhuapl.edu” repo: “hubverse-org/flusight_hub_archive” license: “MIT License” aws: “uscdc-flusight-hub-v1” count: 99 reichlab-modeldev: logo: /includes/img/reichlab.png name: “Reich Lab” hubs: - name: “Variant Nowcast Model Development Retrospective Hub” description: “Hub hosting retrospective model development for the UMass teams’s submission to the U.S. SARS-CoV-2 Variant Nowcast Hub.” contact: - name: “Nick Reich” email: “nick@umass.edu” repo: “reichlab/variant-nowcast-model-dev-retro” license: “MIT License” count: 13 - name: “Flusion Retrospective Hub” description: “Hub hosting model outputs generated in retrospective analyses for the UMass-flusion model submitted to FluSight.” contact: - name: “Nick Reich” email: “nick@umass.edu” repo: “reichlab/flusion/tree/main/retrospective-hub” license: “MIT License” count: 9 - name: “Flusion Submissions Hub” description: “Hub hosting model outputs generated in real time for weekly model submissions for the UMass-flusion model submitted to FluSight.” contact: - name: “Nick Reich” email: “nick@umass.edu” repo: “reichlab/flusion/tree/main/submissions-hub” license: “MIT License” count: 8 - name: “Forecast Sandbox” description: “Hub serving as a sandbox/testbed for experimental FluSight forecasts before and during the 2025/2026 respiratory virus forecasting season.” contact: - name: “Nick Reich” email: “nick@umass.edu” repo: “reichlab/forecast-sandbox-2025-2026” license: “MIT License” count: 25 - name: “MetroCast Sandbox” description: “Hub serving as a sandbox/testbed for experimental Flu MetroCast forecasts before and during the 2025/2026 respiratory virus forecasting season.” contact: - name: “Nick Reich” email: “nick@umass.edu” repo: “reichlab/metrocast-sandbox-2025-2026” license: “MIT License” count: 7 reichlab-training: logo: /includes/img/reichlab.png name: “Reich Lab” hubs: - name: “SISMID ILI Forecasting Sandbox” description: “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).” contact: - name: “Nick Reich” email: “nick@umass.edu” repo: “reichlab/sismid-ili-forecasting-sandbox” license: “MIT License” count: 21 epiengage: logo: /includes/img/epiengage.png name: “epiENGAGE” hubs: - name: “Variant Nowcast Hub” description: | A repository to store COVID-19 variant nowcasts collected as a modeling hub. contact: - name: Nick Reich email: nick@umass.edu repo: reichlab/variant-nowcast-hub license: MIT License aws: “covid-variant-nowcast-hub” insights: https://reichlab.io/variant-nowcast-hub-dashboard/ count: 11 - name: “Flu MetroCast Hub” description: “The Flu MetroCast Hub is a modeling hub with the goal ofcity- and county-level forecasts of influenza. The hub is led by the epiENGAGE team from UT-AustinUMass-Amherst, as a part of the CDC Insight Net program.” contact: - name: “epiENGAGE Flu MetroCast Team” email: epiengage@austin.utexas.edu aws: reichlab-flu-metrocast-hub repo: reichlab/flu-metrocast license: MIT License forecasts: https://reichlab.io/metrocast-dashboard/forecast.html evals: https://reichlab.io/metrocast-dashboard/eval.html count: 16 ai4casting: logo: /includes/img/ai4casting.png name: “AI4Casting (U of Guelph)” hubs: - name: “Hospitalization Forecast Hub” description: | 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. contact: - name: Siddhesh Suresh Kadam email: skadam@uoguelph.ca repo: ai4castinghub/hospitalization-forecast license: MIT License forecasts: https://4castinghub.uoguelph.ca/hospitalization/ count: 12 - name: “RVDSS Forecast Hub” description: | 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. contact: - name: Siddhesh Suresh Kadam email: skadam@uoguelph.ca repo: ai4castinghub/rvdss-forecast license: MIT License forecasts: https://4castinghub.uoguelph.ca/respiratory-virus-detections/ count: 15 smhct: logo: /includes/img/smh_logo.png name: “Scenario Modeling Hub Coordination Team” hubs: - name: “COVID-19 Scenario Modeling Hub” description: “The COVID-19 Scenario Modeling Hub aims to examine the impact changes in behavior and control, new variants, and vaccination a 3-month to 2-year time period, depending on the round. ” contact: - name: Scenario Modeling Hub Coordination Team email: scenariohub@midasnetwork.us repo: midas-network/covid19-scenario-modeling-hub license: MIT License insights: https://covid19scenariomodelinghub.org/ count: 12 - name: “Flu Scenario Modeling Hub” description: “The Flu Scenario Modeling Hub aims to anticipate the impact of in vaccination coverage and effectiveness, prior population , and dominant subtypes over the course of each influenza . ” contact: - name: Scenario Modeling Hub Coordination Team email: scenariohub@midasnetwork.us repo: midas-network/flu-scenario-modeling-hub license: MIT License insights: https://fluscenariomodelinghub.org count: 16 - name: “RSV Scenario Modeling Hub” description: “The RSV Scenario Modeling Hub aims to project the impacts of new vaccines monoclonal antibodies over the course of each RSV season. ” contact: - name: Scenario Modeling Hub Coordination Team email: scenariohub@midasnetwork.us repo: midas-network/rsv-scenario-modeling-hub license: MIT License insights: https://rsvscenariomodelinghub.org count: 18 - name: “COVID-19 Scenario Modeling Hub - Research” description: “The COVID-19 Research Scenario Modeling Hub intended to encourage modeling to specific COVID-19 research questions. Specific focus areas in the pipeline revisiting whether we could have projected the heterogeneities observed early stages of the pandemic and whether better modeling may have been to inform action to reduce these heterogeneities. Additional research topics follow. ” contact: - name: Scenario Modeling Hub Coordination Team email: scenariohub@midasnetwork.us repo: midas-network/covid19-smh-research license: MIT License count: 7 uscdc: name: “US Centers for Disease Control and Prevention” logo: /includes/img/cdc.jpg hubs: - name: “FluSight Forecast Hub” description: | This project collects forecasts for weekly new hospitalizations due to confirmed influenza. contact: - name: FluSight Forecast Hub email: flusight@cdc.gov repo: cdcepi/FluSight-forecast-hub license: “MIT License” aws: cdcepi-flusight-forecast-hub forecasts: https://reichlab.io/flusight-dashboard/forecast.html evals: https://reichlab.io/flusight-dashboard/eval.html count: 95 - name: “COVID-19 Forecast Hub” description: | A repository run by the US CDC to collect forecasts of weekly incident COVID-19 hospital admissions. contact: - name: COVID-19 Forecast Hub email: covidhub@cdc.gov repo: CDCgov/covid19-forecast-hub license: Apache License 2.0 aws: covid19-forecast-hub forecasts: https://reichlab.io/covidhub-dashboard/forecast.html evals: https://reichlab.io/covidhub-dashboard/eval.html count: 22 - name: “RSV Forecast Hub” description: “A repository run by the US CDC to collect forecasts of weekly new hospitalizations and the percentage of emergency department visits due to RSV. ” contact: - name: RSV Hub email: rsvhub@cdc.gov repo: CDCgov/rsv-forecast-hub license: Apache License 2.0 count: 9 - name: “Paraguay Forecast Hub” description: “The Paraguay Forecast Hub is designed to collect forecast data for weekly severe acute respiratory infection (SARI) hospitalizations during 2024 season in Paraguay.” contact: - name: Paraguay Forecast Hub email: opp8@cdc.gov - name: “WHO FluNet Hub” description: “An effort to produce -1 to 4 week ahead forecasts using the World Health FluNet surveillance data for Australia, Brazil, Chile, South , and Thailand.” contact: - name: WHO FluNet Hub email: opp8@cdc.gov ecdc: name: “European Centre for Disease Prevention and Control (ECDC)” logo: /includes/img/ecdc.png hubs: - name: “RespiCast Syndromic Indicators” contact: - name: European Centre for Disease Prevention and Control (ECDC) email: european.modelling.hub@ecdc.europa.eu description: | The European Syndromic Indicators Forecasting Hub collates weekly forecasts on Influenza-Like-Illness (ILI) and Acute Respiratory Infection (ARI) incidence in EU/EEA countries. repo: european-modelling-hubs/RespiCast-SyndromicIndicators license: CC-BY 4.0 license forecasts: https://respicast.ecdc.europa.eu/forecasts/?disease=4&target=1 evals: https://respicast.ecdc.europa.eu/evaluations/?disease=4&target=1 count: 27 - name: “European Covid-19 Forecasting Hub” contact: - name: European Centre for Disease Prevention and Control (ECDC) email: european.modelling.hub@ecdc.europa.eu description: | The European Covid-19 Forecasting Hub collates weekly forecasts on Covid-19 Hospital Admissions in EU/EEA countries. repo: european-modelling-hubs/RespiCast-Covid19 license: CC-BY 4.0 license forecasts: https://respicast.ecdc.europa.eu/forecasts/?disease=5 evals: https://respicast.ecdc.europa.eu/evaluations/?disease=5 count: 19 - name: “RespiCompass - ECDC’s Respiratory Diseases Scenario Hub” contact: - name: European Centre for Disease Prevention and Control (ECDC) email: european.modelling.hub@ecdc.europa.eu description: | 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. repo: european-modelling-hubs/RespiCompass license: CC-BY 4.0 license insights: https://respicompass.ecdc.europa.eu/insights/ count: 11 ecdc-archival: name: “European Centre for Disease Prevention and Control (ECDC)” logo: /includes/img/ecdc.png hubs: - name: “Archival RespiCast Influenza Hub (2023–2024)” contact: - name: European Centre for Disease Prevention and Control (ECDC) email: european.modelling.hub@ecdc.europa.eu description: “This repository archives the forecasts computed during season 2023/2024. ” repo: european-modelling-hubs/flu-forecast-hub_archive license: CC-BY 4.0 license count: 16 - name: “Archival RespiCast ARI Hub (2023–2024)” contact: - name: European Centre for Disease Prevention and Control (ECDC) email: european.modelling.hub@ecdc.europa.eu description: | This repository archives the forecasts computed during season 2023/2024. repo: european-modelling-hubs/ari-forecast-hub_archive license: CC-BY 4.0 license count: 12 cadph: logo: /includes/img/cadph.png name: California Department of Public Health hubs: - name: West Nile Virus Forecasting Hub contact: - name: West Nile Virus Forecasting Hub email: modeling@cdph.ca.gov description: | 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. repo: cdphmodeling/wnvca-2024 license: CC-BY 4.0 license count: 25 accidda: logo: /includes/img/accidda.png name: Atlantic Coast Center for Infectious Disease Dynamics and Analytics description: | 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. hubs: - name: NC DHHS / ACCIDDA Forecasting Collaboration description: | 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: - name: Sara Loo email: sloo2@jhmi.edu - name: Matthew Mietchen email: mietchen@unc.edu insights: https://www.respilens.com/ count: 2 acefa: logo: /includes/img/acefa.png name: Australia-Aotearoa Consortium for Epidemic Forecasting & Analytics description: | ACEFA aims to support the timely, effective response to epidemic diseases in Australia through real-time data analytics, modelling, and forecasting. hubs: - name: Australia-Aotearoa Forecasting Hub description: | 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: - name: Emily Kay email: emily.kay@unimelb.edu.au hopkinsidd: logo: /includes/img/hopkinsidd.png name: “Johns Hopkins University Infectious Disease Dynamics Group” hubs: - name: “Archival US RSV Forecast Hub 2024–2025” description: | 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. contact: - name: Shaun Truelove email: shauntruelove@jhu.edu repo: HopkinsIDD/rsv-forecast-hub license: MIT License count: 9 dailypartita: logo: /includes/img/dailypartita.png name: “Guangzhou Laboratory” hubs: - name: “GZlab China COVID-19 Forecast Hub” description: | This collaborative hub is designed to collect real-time probabilistic nowcasts and forecasts of weekly SARS-CoV-2 positivity rates from the Chinese sentinel hospital surveillance network (data from China CDC). contact: - name: Kaixin Yang email: yang_kaixin@gzlab.ac.cn repo: dailypartita/China-COVID-19-Forecast-Hub forecasts: https://dailypartita.github.io/China-COVID-19-Forecast-Dashboard/forecast.html evals: https://dailypartita.github.io/China-COVID-19-Forecast-Dashboard/eval.html license: MIT License count: 9 sjfox: logo: /includes/img/Northern_Arizona_U_logo.png name: “Northern Arizona University” hubs: - name: “ATSF2026 Training Hub” description: “This is a sandbox hub used to teach programming and forecasting techniques to undergraduate and students as part of the Applied Time Series Forecasting course at Northern Arizona University. are asked to produce weekly 4-week-ahead forecasts for five seasons of weighted influenza-like illness the HHS and National level.” contact: - name: Spencer J Fox email: Spencer.Fox@nau.edu repo: sjfox/ATSF2026 license: MIT License count: 10 —

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.

US Centers for Disease Control and Prevention

95 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 Apache License 2.0

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

11 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

16 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)

27 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.

Licensed under the CC-BY 4.0 license

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.

Licensed under the CC-BY 4.0 license

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.

Licensed under the CC-BY 4.0 license

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
Guangzhou Laboratory

9 models submitted
GZlab China COVID-19 Forecast Hub

This collaborative hub is designed to collect real-time probabilistic nowcasts and forecasts of weekly SARS-CoV-2 positivity rates from the Chinese sentinel hospital surveillance network (data from China CDC).

Licensed under the MIT License

Contact: Kaixin Yang

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.

Licensed under the CC-BY 4.0 license

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.

Licensed under the CC-BY 4.0 license

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

Northern Arizona University

10 models submitted
ATSF2026 Training Hub

This is a sandbox hub used to teach programming and forecasting techniques to undergraduate and graduate students as part of the Applied Time Series Forecasting course at Northern Arizona University. Students are asked to produce weekly 4-week-ahead forecasts for five seasons of weighted influenza-like illness at the HHS and National level.

Licensed under the MIT License

Contact: Spencer J Fox

Model Development Hubs

Reich Lab

13 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

9 models submitted
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

8 models submitted
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

25 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

Hub Organization Category Models Repo Open Data Insights Forecasts Evaluations
Archival FluSight hub (2015--2019) The hubverse Archival 99 hubverse-org/flusight_hub_archive
Variant Nowcast Model Development Retrospective Hub Reich Lab Model Development 13 reichlab/variant-nowcast-model-dev-retro
Flusion Retrospective Hub Reich Lab Model Development 9 reichlab/flusion/tree/main/retrospective-hub
Flusion Submissions Hub Reich Lab Model Development 8 reichlab/flusion/tree/main/submissions-hub
Forecast Sandbox Reich Lab Model Development 25 reichlab/forecast-sandbox-2025-2026
MetroCast Sandbox Reich Lab Model Development 7 reichlab/metrocast-sandbox-2025-2026
SISMID ILI Forecasting Sandbox Reich Lab Training 21 reichlab/sismid-ili-forecasting-sandbox
Variant Nowcast Hub epiENGAGE Active 11 reichlab/variant-nowcast-hub
Flu MetroCast Hub epiENGAGE Active 16 reichlab/flu-metrocast
Hospitalization Forecast Hub AI4Casting (U of Guelph) Active 12 ai4castinghub/hospitalization-forecast
RVDSS Forecast Hub AI4Casting (U of Guelph) Active 15 ai4castinghub/rvdss-forecast
COVID-19 Scenario Modeling Hub Scenario Modeling Hub Coordination Team Active 12 midas-network/covid19-scenario-modeling-hub
Flu Scenario Modeling Hub Scenario Modeling Hub Coordination Team Active 16 midas-network/flu-scenario-modeling-hub
RSV Scenario Modeling Hub Scenario Modeling Hub Coordination Team Active 18 midas-network/rsv-scenario-modeling-hub
COVID-19 Scenario Modeling Hub - Research Scenario Modeling Hub Coordination Team Active 7 midas-network/covid19-smh-research
FluSight Forecast Hub US Centers for Disease Control and Prevention Active 95 cdcepi/FluSight-forecast-hub
COVID-19 Forecast Hub US Centers for Disease Control and Prevention Active 22 CDCgov/covid19-forecast-hub
RSV Forecast Hub US Centers for Disease Control and Prevention Active 9 CDCgov/rsv-forecast-hub
Paraguay Forecast Hub US Centers for Disease Control and Prevention Active private
WHO FluNet Hub US Centers for Disease Control and Prevention Active private
RespiCast Syndromic Indicators European Centre for Disease Prevention and Control (ECDC) Active 27 european-modelling-hubs/RespiCast-SyndromicIndicators
European Covid-19 Forecasting Hub European Centre for Disease Prevention and Control (ECDC) Active 19 european-modelling-hubs/RespiCast-Covid19
RespiCompass - ECDC's Respiratory Diseases Scenario Hub European Centre for Disease Prevention and Control (ECDC) Active 11 european-modelling-hubs/RespiCompass
Archival RespiCast Influenza Hub (2023--2024) European Centre for Disease Prevention and Control (ECDC) Archival 16 european-modelling-hubs/flu-forecast-hub_archive
Archival RespiCast ARI Hub (2023--2024) European Centre for Disease Prevention and Control (ECDC) Archival 12 european-modelling-hubs/ari-forecast-hub_archive
West Nile Virus Forecasting Hub California Department of Public Health Active 25 cdphmodeling/wnvca-2024
NC DHHS / ACCIDDA Forecasting Collaboration Atlantic Coast Center for Infectious Disease Dynamics and Analytics Active 2 private
Australia-Aotearoa Forecasting Hub Australia-Aotearoa Consortium for Epidemic Forecasting & Analytics Active private
Archival US RSV Forecast Hub 2024--2025 Johns Hopkins University Infectious Disease Dynamics Group Archival 9 HopkinsIDD/rsv-forecast-hub
GZlab China COVID-19 Forecast Hub Guangzhou Laboratory Active 9 dailypartita/China-COVID-19-Forecast-Hub
ATSF2026 Training Hub Northern Arizona University Training 10 sjfox/ATSF2026