The decision uncertainty toolkit: Risk measures and visual outputs to support decision making during public health crises
The Decision Uncertainty Toolkit improves existing methods for communicating infectious disease model results by providing additional information regarding uncertainty and decision risk associated with policy alternatives. This empowers decision-makers to consider and evaluate decision risk more effectively when making policy decisions. Improved understanding of decision risk can improve outcomes in future public health crises.
Authors
- Sasha van Katwyk (ORCID: https://orcid.org/0000-0003-3026-2063)
- Erin Kirwin (ORCID: https://orcid.org/0000-0001-6957-7236)
- Jeff Round (ORCID: https://orcid.org/0000-0002-3103-6984)
- Marie Varughese (ORCID: https://orcid.org/0000-0002-8432-6539)
- Ellen Rafferty (ORCID: https://orcid.org/0000-0001-9974-8016)
- Christopher McCabe (ORCID: https://orcid.org/0000-0001-5728-4129)
- Megan Wiggins (ORCID: https://orcid.org/0009-0007-0290-4950)
Institutions
- University of Alberta (CA)
- Manchester Academic Health Science Centre (GB)
- Queens University (BD)
- Institute of Health Economics (CA)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1371/journal.pone.0332522
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 1.37