Early COVID-19 Pandemic Modeling: Three Compartmental Model Case Studies From Texas, USA is a research paper published in Computing in Science & Engineering (2020). On theSindex it has a DataRank of 0.104. It has been cited 1 time, with 1 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
0.104
From this paper's citation signal
Citation Network Contribution
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →CDC Contract CDC contract
Grant: 75D-301-19-C-05930
National Institutes of Health
Grant: 3R01AI151176-01S1
Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial data
NIAID NIH HHS
Grant: R01 AI151176
NIGMS NIH HHS
Grant: U01 GM087719
NCIRD CDC HHS
Grant: U01 IP001136
National Institutes of Health
Grant: 1F32DC000301-01
RECEPTOR EXPRESSION DURING OLFACTORY NEURON REGENERATION
Tito's Handmade Vodka
FWCI
0.00
Citation Percentile
0.1%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals