About: covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/2

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About: covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/2 Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	sioca:Justification aif:I-node evidence
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/0
aif:formDescription	Moreover , the results of the RF and GBDT indicated that higher spring minimum temperature , increased winter precipitation , and higher annual median household income were among the most substantial factors in predicting the hotspots .
proves	covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/0
is hasSource of	nodeID://b56438244 nodeID://b56508736 nodeID://b56508744 nodeID://b56527108 nodeID://b56564580 nodeID://b56593396 nodeID://b56798620 nodeID://b56850180 nodeID://b56871776 nodeID://b56985004 nodeID://b57040116 nodeID://b57074932 nodeID://b57075916 nodeID://b57205432 nodeID://b57343380 nodeID://b57375128 nodeID://b57686744 nodeID://b57688244 nodeID://b57694432 nodeID://b57694516 nodeID://b57714324 nodeID://b57777208 nodeID://b57793508 nodeID://b57823012 nodeID://b57827736 nodeID://b57887396 nodeID://b57983300
is sioca:supports of	covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/0
is has evidence of	covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c
is proves of	covid:arg/48eb808ff55a2c47ded100c7204b65284d5dd67c/0

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