When are predictions useful? A new method for evaluating epidemic forecasts
The WCIS provides a pragmatic utility-based characterization of probabilistic predictions. This method is expressly intended to enable practitioners and policymakers who may not have expertise in forecasting but are nevertheless essential partners in epidemic response to use and provide insightful analysis of predictions. We note that the WCIS is intended specifically for retrospective forecast evaluation and should not be used as a minimized penalty in a competitive context as it lacks statistical propriety. Code and data used for our analysis are available at https://github.com/maximilian-marshall/wcis .
Authors
- Felix Parker (ORCID: https://orcid.org/0000-0003-0078-2914)
- Lauren A. Gardner (ORCID: https://orcid.org/0000-0002-8592-6691)
- Maximilian Marshall (ORCID: https://orcid.org/0009-0007-9847-6232)
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- BMC Global and Public Health
- Published
- 2024-10-03
- DOI
- https://doi.org/10.1186/s44263-024-00098-7
- Citations
- 1
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- National Science Foundation