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Published on: September 27, 2014
A Software Platform for Collaborative Infectious Disease Modeling
, Melissa Kerr1, Rebecca Borchering2
1University of Massachusetts Amherst, Amherst, MA, USA.
Nature Health
|July 23, 2026
Summary
The hubverse provides standards and tools to create collaborative modeling hubs, enhancing prediction relevance and trust. This approach supports global infectious disease modeling efforts.
Area of Science:
- Epidemiology
- Computational Biology
- Data Science
Background:
- Decision-makers require understandable and trustworthy predictions for threat response.
- Collaborative modeling enhances prediction relevance, transparency, and robustness.
- Centralized data repositories (hubs) can facilitate collaborative modeling.
Purpose of the Study:
- To introduce the hubverse, a suite of standards and software tools.
- To streamline the creation and operation of collaborative modeling hubs.
- To support infectious disease modeling efforts globally.
Main Methods:
- Development of the hubverse, including file structure and model output standards.
- Implementation of common tools for validation, aggregation, visualization, and evaluation of model output.
- Adoption by nearly two dozen collaborative and local modeling hubs worldwide.
Main Results:
- Hubverse enables common tools to process model output, improving efficiency.
- Standardized approach facilitates the use of data across different modeling hubs.
- Hubverse is actively supporting infectious disease modeling by major public health organizations.
Conclusions:
- The hubverse effectively streamlines the creation and operation of collaborative modeling hubs.
- It enhances the ability to generate relevant, transparent, and robust predictions.
- Hubverse is a valuable tool for global infectious disease modeling and response.
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