Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States¶
Cramer, E. Y., Ray, E. L., Lopez, V. K., Bracher, J., Brennen, A., Castro Rivadeneira, A. J., Gerding, A., et al. (2022). Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences, 119(15).
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Judgment Aggregation Dashboard
- A regional infectious-disease team pools weekly forecasts from a dozen modeling groups for hospital admissions four weeks out, and the coordinators need to see the ensemble without flattening it — the way real forecast hubs present combined predictions.
This sourceReports a real forecast hub that combined forecasts from participating models into an ensemble prediction.
- A regional infectious-disease team pools weekly forecasts from a dozen modeling groups for hospital admissions four weeks out, and the coordinators need to see the ensemble without flattening it — the way real forecast hubs present combined predictions.
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:daeead0c7e65 · see in the full table