Skip to main content

Table 2 Regression models using GT-based RSVs for “Ebola” searched worldwide, and epidemiological data (the number of Ebola cases) and the HDI as predictor variables

From: Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes

Parameter Estimate Std error t Sig. 95 % CI
Lower limit Upper limit
FIRST MODEL
AIC 776.979
Intercept 4.083293 .381482 10.704 .000 3.328576 4.838010
Ebola cases .008047 .000255 31.552 .000 .007542 .008551
SECOND MODEL
AIC 709.927
Intercept 7.771741 .596617 13.026 .000 6.590580 8.952901
Ebola cases .006199 .000466 13.301 .000 .005277 .007122
HDI -.078454 .010805 -7.261 .000 -.099846 -.057061
Ebola cases X HD .000543 .000147 3.693 .000 .000252 .000834I