About: covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/0

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About: covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/0 Goto Sponge NotDistinct Permalink

An Entity of Type : amo:Claim, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	sioca:Idea aif:I-node aif:KnowledgePosition_Statement claim
wasQuotedFrom	Predicting the Hotspots of Age-Adjusted Mortality Rates of Lower Respiratory Infection across the Continental United States: Integration of GIS, Spatial Statistics and Machine Learning Algorithms
sioca:supports	covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/2
aif:claimText	Shift in the hotspots of LRI from west coast to southeast over time Decision tree classifiers yielded a more accurate predictions of hotspots J o u r n a l P r e - p r o o f Higher spring temperature and increased precipitation during winter are among the most substantial predictors of the presence or absence of the hotspots .
proves	covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/2
is hasSource of	nodeID://b56428128 nodeID://b56733700 nodeID://b56845184 nodeID://b56854428 nodeID://b56988284 nodeID://b57271576 nodeID://b57271608 nodeID://b57299732 nodeID://b57601608 nodeID://b57675616 nodeID://b57795600 nodeID://b57964856 nodeID://b58099148
is sioca:supports of	covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/1 covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/2
is has claim of	covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c
is proves of	covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/1 covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/2

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