Table 3.

Results of analyzing the environmental variables

Regression Model	Coefficients	Estimate	Std. Error	z Value	Pr(>| z| )	Significant (α = 5%)
Model _ 7~Population _ Density + Mortality _ Rate + Population ≥ 65 + Education _ Index + GDP	Population Density	0.0001	0.0001	1.2910	0.1970	No
	Mortality Rate	0.0000	0.0002	−0.0560	0.9550	No
	Population ≥ 65	−0.0140	0.1609	−0.0870	0.9310	No
	Education Index	0.0104	0.0118	0.8800	0.3790	No
	GDP/Capita	0.0000	0.0000	−0.2460	0.8050	No
	(Intercept)	0.6322	0.7925	0.7980	0.4250	No
	Log(scale)	−1.3400	0.1654	−8.1020	0.0000	Yes
	Observations	28
	Log Likelihood	−8.47
	Akaike Inf. Crit.	30.95
	Bayesian Inf. Crit.	40.27
Model _ 8~Population _ Density + Mortality _ Rate + Population ≥ 65 + Education _ Index + GDP	Population Density	0.0000	0.0000	1.1790	0.2385	No
	Mortality Rate	0.0000	0.0001	−0.0890	0.9295	No
	Population ≥ 65	−0.0046	0.0792	−0.0580	0.9540	No
	Education Index	0.0051	0.0058	0.8780	0.3800	No
	GDP/Capita	0.0000	0.0000	−0.5440	0.5863	No
	(Intercept)	0.8620	0.3901	2.2100	0.0271	Yes
	Log(scale)	−2.0490	0.1651	−12.4150	0.0000	Yes
	Observations	28
	Log Likelihood	6.52
	Akaike Inf. Crit.	0.97
	Bayesian Inf. Crit.	10.29