Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19 is a research paper published in ACM Transactions on Spatial Algorithms and Systems (2022). On theSindex it has a DataRank of 0. It has been cited 9 times.
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National Institutes of Health
Grant: R01GM109718, IIS-1633028, OAC-1916805
NSF Expeditions in Computing
Grant: CCF-1918656, CCF-1917819, CNS-2028004, OAC-2027541
US Centers for Disease Control and Prevention
Grant: 75D30119C05935, S-D00189-15-TO-01-UVA
Google and VDH contract
Grant: VDH-21-501-0141
National Science Foundation
Grant: 1918656
Expeditions: Collaborative Research: Global Pervasive Computational Epidemiology
National Institutes of Health
Grant: 3R01GM109718-05S1
Systems Analysis of Social Pathways of Epidemics to Reduce Health Disparities
National Science Foundation
Grant: 1917819
Expeditions: Collaborative Research: Global Pervasive Computational Epidemiology
National Science Foundation
Grant: 2028004
RAPID: Collaborative: Transfer Learning Techniques for Better Response to COVID-19 in the US
National Science Foundation
Grant: 1916805
Collaborative Research: Framework: Software: CINES: A Scalable Cyberinfrastructure for Sustained Innovation in Network Engineering and Science
National Science Foundation
Grant: 2027541
RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks
FWCI
1.03
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals