Authors
Consortium of Infectious Disease Modeling Hubs, Melissa Kerr, Rebecca Borchering, Alvaro Castro Rivadeneira, Lucie Contamin, Sebastian Funk, Harry Hochheiser, Emily Howerton, Anna Krystalli, Li Shandross, Nicholas G Reich
Published in
Nature health. Jun 16, 2026. Epub Jun 16, 2026.
Abstract
To better respond to threats, decision-makers are increasingly interested in predictions they can understand and trust. Collaborative modeling can help increase the relevance, transparency, and robustness of predictions. This approach can be facilitated with hubs, or centralized data repositories to collect, analyze, and communicate model output. This paper introduces the hubverse, a suite of standards and software tools to streamline the creation and operation of collaborative modeling hubs. Hubverse file structure and model output standards enable the use of common tools to validate, aggregate, visualize, evaluate, and communicate model output. Currently, the hubverse is used by nearly two dozen collaborative and local modeling hubs around the globe to support infectious disease modeling efforts, including hubs hosted and/or used by the United States Centers for Disease Control and Prevention, European Centre for Disease Prevention and Control, Australia-Aotearoa Consortium for Epidemic Forecasting and Analytics, and California Department of Public Health.
PMID:
42491971
Bibliographic data and abstract were imported from PubMed on 24 Jul 2026.
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