Research & talks
Following is a list of research outputs and talks related to the hubverse. This includes presentations about the hubverse, as well as research that has been done using hubverse data standards and software.
Presentations
Presentations about the hubverse
- Presentations from regular hubverse community meetings - folder (ongoing since 04 October 2023)
- “The Hubverse: Streamlining Collaborative Infectious Disease Modeling for Public Health Impact” presentation given at the US-RSE Conference 2025 - slides, Zenodo, repository (07 October 2025)
- “The Hubverse: open tools for collaborative modeling” presentation given during the first Insight Net Quarterly Seminar - video (18 June 2024)
- “Hubverse: Supporting modeling hubs across the globe” presentation given at the ECDC RespiCast Hub Launch - slides (20 November 2023)
- “The Hubverse: open tools for collaborative forecasting” presentation given to CDC and CFA - video and slides (09 June 2023)
Publications
Publications about the hubverse
- Consortium of Infectious Disease Modeling Hubs, Kerr M, Borchering R, Castro Rivadeneira AJ, Contamin L, Funk S, Hochheiser H, et al. A software platform for collaborative infectious disease modelling. Nat Health. 2026; Article s44360-026-00145-7. doi: 10.1038/s44360-026-00145-7.
- Shandross L, Howerton E, Contamin L, Hochheiser H, Krystalli A, Consortium of Infectious Disease Modeling Hubs, et al. Multi-model ensembles in infectious disease and public health: Methods, interpretation, and implementation in R. Stat Med. 2026;45(1–2):e70333. doi: 10.1002/sim.70333.
Publications that have used hubverse tools
- MacArthur I, Robacker T, Case B, Fox SJ, Morris DH, Ray EL, et al. Collaborative estimation and evaluation of SARS-CoV-2 variant nowcasting in the United States [Internet]. arXiv; 2026 [cited 2026 Jun 24]. Available from: https://arxiv.org/abs/2606.07129.
- MacArthur I, Robacker T, Ray EL, Rogers BW, Reich NG, Griffin M. Comparison of probabilistic nowcasts and forecasts of SARS-CoV-2 variant proportions made by hierarchical multinomial linear regression models [Internet]. arXiv; 2026 [cited 2026 Jun 24]. Available from: https://arxiv.org/abs/2605.22676.
- Frutos AM, Hines A, Shandross L, Ray EL, Reich NG, Borchering RK, et al. Retrospective evaluation of trained and untrained probabilistic ensemble forecasts for influenza hospital admissions — United States, 2022–2025. Infect Dis Model. 2026;11(3):1227-33. doi: 10.1016/j.idm.2026.04.002.
- Kim M, Ray EL, Reich NG. Beyond forecast leaderboards: Measuring individual model importance based on contribution to ensemble accuracy. Int J Forecast. 2026;42(3):924-36. doi: 10.1016/j.ijforecast.2025.12.006.
- Kim M, Shandross L, Ray EL, Reich NG. modelimportance: An R package for evaluating model importance within a multi-model ensemble [Internet]. arXiv; 2026 May 28 [cited 2026 Jun 3]. Available from: https://arxiv.org/abs/2605.30278.
- Gozzi N, Gioannini C, Milano P, Vismara I, Rossi L, Quaggiotto M, et al. Performance evaluation of RespiCast ensemble forecasts for primary care syndromic indicators of viral respiratory disease in Europe [Internet]. medRxiv; 2026 Feb 3 [cited 2026 Jun 3]. Available from: https://www.medrxiv.org/content/10.1101/2025.10.30.25339155v2.
- Loo SL, Jung SM, Contamin L, Howerton E, Bents SJ, Hochheiser H, et al. Scenario Projections of COVID-19 Burden in the US, 2024-2025. JAMA Netw Open. 2025 Sep 18;8(9):e2532469. doi: 10.1001/jamanetworkopen.2025.32469.
- Centers for Disease Control and Prevention. FluSight 2024-2025 Evaluation [Internet]. 2025 Sep 16 [cited 2026 Mar 5]. Available from: https://www.cdc.gov/flu-forecasting/evaluation/2024-2025-report.html.
- Centers for Disease Control and Prevention. FluSight 2023-2024 Evaluation [Internet]. 2025 Apr 1 [cited 2026 Mar 5]. Available from: https://www.cdc.gov/flu-forecasting/evaluation/2023-2024-report.html.
- Mathis SM, Webber AE, León TM, Murray EL, Sun M, White LA, et al. Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations. Nat Commun. 2024 Jul 26;15(1):6289. doi: 10.1038/s41467-024-50601-9.
- Loo SL, Howerton E, Contamin L, Smith CP, Borchering RK, Mullany LC, et al. The US COVID-19 and Influenza Scenario Modeling Hubs: Delivering long-term projections to guide policy. Epidemics. 2024 Mar 1;46:100738. doi: 10.1016/j.epidem.2023.100738.
- Howerton E, Contamin L, Mullany LC, Qin M, Reich NG, Bents S, et al. Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty. Nat Commun. 2023 Nov 20;14(1):7260. doi: 10.1038/s41467-023-42680-x.
- Borchering RK, Healy JM, Cadwell BL, Johansson MA, Slayton RB, Wallace M, et al. Public health impact of the U.S. Scenario Modeling Hub. Epidemics. 2023 Sep 1;44:100705. doi: 10.1016/j.epidem.2023.100705.
- Borchering RK, Mullany LC, Howerton E, Chinazzi M, Smith CP, Qin M, et al. Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: a multi-model study. Lancet Reg Health Am. 2023 Jan 1;17:100398. doi: 10.1016/j.lana.2022.100398.