All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting is a research paper (2021). On theSindex it has a DataRank of 0.515. It has been cited 30 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.515
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Grant: SIF160
NSF BIG DATA
Grant: IIS-1633028
Defense Threat Reduction Agency
Grant: HDTRA1-19-D-0007
Virginia Department of Health
Grant: C&P - VDH-21-501-0141
NSF (National Science Foundation)
Grant: OAC-1916805
NSF RAPID
Grant: CNS-2028004
US Centers for Disease Control and Prevention
Grant: 75D30119C05935
NSF Expeditions in Computing
Grant: CCF-1918656
National Institutes of Health
Grant: 1R01GM109718
National Institutes of Health
Grant: 3R01GM109718-05S1
Systems Analysis of Social Pathways of Epidemics to Reduce Health Disparities
National Science Foundation
Grant: 2028004
RAPID: Collaborative: Transfer Learning Techniques for Better Response to COVID-19 in the US
National Science Foundation
Grant: 2027541
RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks
National Science Foundation
Grant: 1917819
Expeditions: Collaborative Research: Global Pervasive Computational Epidemiology
National Science Foundation
Grant: 1918656
Expeditions: Collaborative Research: Global Pervasive Computational Epidemiology
National Science Foundation
Grant: 1916805
Collaborative Research: Framework: Software: CINES: A Scalable Cyberinfrastructure for Sustained Innovation in Network Engineering and Science
FWCI
9.49
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals