Synergistic interventions to control COVID-19: Mass testing and isolation mitigates reliance on distancing is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 0.385. It has been cited 12 times.
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Base Score Contribution
0.385
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.
Learn more about DataRank methodology →National Science Foundation
Grant: 2028301
RAPID: Harnessing the power of multiple models for outbreak management
National Science Foundation
Grant: 2037885
RAPID: Optimal allocation of COVID-19 testing based on context-specific outbreak control objectives
National Science Foundation
Grant: DEB 1911962 BB/T004312/1
Biotechnology and Biological Sciences Research Council
Grant: BB/T004312/1
US-UK Collab: Adaptive surveillance and control for the elimination of endemic disease
National Science Foundation
Grant: 1911962
US-UK Collab: Adaptive surveillance and control for endemic disease elimination
National Institutes of Health
Huck Institutes of the Life Sciences
Li Ka Shing Foundation
U.S. Geological Survey
FWCI
0.62
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals