A simple SEIR-V model to estimate COVID-19 prevalence and predict SARS-CoV-2 transmission using wastewater-based surveillance data is a research paper published in medRxiv (2022). On theSindex it has a DataRank of 0.409. It has been cited 7 times, with 7 citing works in its 1-hop citation network.
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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.312
From this paper's citation signal
Citation Network Contribution
0.0970
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
National Science Foundation
Grant: 1930728
Collaborative Research: RoL: The rules of life were made to be broken - Connecting physiology, evolutionary ecology, and mathematics to identify a Growth Rate Rule.
National Institutes of Health
Grant: 5R01GM131405-02
Predictive Modeling of Pattern Formation Driven by Synthetic Gene Networks
Fields of Study
Keywords
Sustainable Development Goals