Estimation of time-varying reproduction numbers underlying epidemiological processes: A new statistical tool for the COVID-19 pandemic is a research paper published in PLoS ONE (2020). On theSindex it has a DataRank of 0.706. It has been cited 110 times.
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Base Score Contribution
0.706
From this paper's citation signal
Citation Network Contribution
0
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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 →NIA NIH HHS
Grant: R01 AG056764
National Institutes of Health
Grant: 5R01AG056764-04
Cutting Edge Survival Methods for Epidemiological Data
National Science Foundation
Grant: 1915099
Impact of Molecular Biomarkers on Survival Outcomes: Signal Detection, Model Selection, and Statistical Inference in High-dimensional Settings
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MeSH Terms
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Sustainable Development Goals
Additional file 1 of Health information management systems and practices in conflict-affected settings: the case of northwest Syria
Additional file 1 of Health information management systems and practices in conflict-affected settings: the case of northwest Syria
Estimation of time-varying reproduction numbers underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic