[Retracted] Machine Learning Model and Statistical Methods for COVID-19 Evolution Prediction

Table 4

The variables selected in the model.

			S.E.	Wald	df	Sig.	Exp(B)
Step 1^a	New_cases	0.008	0.001	70.065	1	0.000	1.008
	Constant	-1.699	0.213	63.896	1	0.000	0.183
Step 2^b	New_cases	0.009	0.001	65.844	1	0.000	1.009
	National health expenditure per capita, PPP (current international $)	-0.001	0.000	6.211	1	0.013	0.999
	Constant	0.130	0.736	0.031	1	0.860	1.139
Step 3^c	New_cases	0.009	0.001	65.992	1	0.000	1.009
	Joblessness, youth total (% of total work force aged 15-24) (modeled ILO estimate)	-0.269	0.132	4.134	1	0.042	0.764
	National health expenditure per capita, PPP (current international $)	-0.002	0.001	7.218	1	0.007	0.998
	Constant	6.746	3.332	4.099	1	0.043	850.538
Step 4^d	New_cases	0.010	0.001	61.487	1	0.000	1.010
	Real GDP growth (annual percent change)	1.372	0.488	7.905	1	0.005	3.945
	Joblessness, youth total (% of total work force aged 15-24) (modeled ILO estimate)	-0.491	0.159	9.497	1	0.002	0.612
	National health expenditure per capita, PPP (current international $)	-0.004	0.001	13.509	1	0.000	0.996
	Constant	26.598	7.962	11.160	1	0.001	355839592019.724