Identifying the Potential Causes, Consequences, and Prevention of Communicable Diseases (Including COVID-19)

Table 3

Robust least-square regression estimates.

Variables	ln(COMD)	ln(GDPPC)	ln(HEXP)	ln(COMD)
Constant	1.588	2.423	-4.271	61.118
ln(PDEN)	0.043^a	-0.067^c		-
ln(PDIF0.25)	-	-		52.753
PDIF0.50	-	-		3.91E-05
	-	-		-52.755
ln(COMD)		-0.447^c	0.433^g	-
ln(LBHWF)	0.103	-0.243^c		-
ln(HSWF)	-	-		-0.126
ln(CHM)	0.137	0.021		-
ln(LCUSE)	-	-		0.174
ln(CO2)	-0.726	-	1.195^f	-
ln(LCC)	-	-		-0.050^d
ln(FFUEL)	0.311	-	0.003	-
ln(POV)	0.110^b	-		-
ln(EUSE)	-	0.223		-
ln(RF)	-	-		-0.068^d
ln(HEXP)	-	0.730		-0.183
ln(GDPPC)	-	-	1.200	-
COVID-19	-	-0.122	-0.065^e	-
Statistical tests
	0.873^h	0.803	0.813	0.784^e
	0.981^h	0.970	0.979	0.891^e
	574.220	17854.99	13552.19	1179.98

Note: and indicate 1% and 5% significance level. ^aThe estimates found after removing CO₂ and FFUEL in a given regression. ^bThe estimates found after removing CO₂ in a given regression. ^cThe estimates found after removing EUSE and HEXP in a given regression. ^dThe estimates found after removing the PDIF variables in a given regression. ^eThe estimates found after removing CO₂ and FFUEL. ^fThe estimates found after removing GDPPC, ^gThe estimates found after removing GDPPC. ^hThe aggregated value of .