Latent Growth Curve Modeling for COVID-19 Cases in Presence of Time-Variant Covariate

Table 4

Estimate of coefficients for various GCMs with TVC for all countries data from August 2020 to July 2021.

	Linear	Quadratic	Exponential	Latent	Multiphase
Intercept and slope
τ0	75.7481	86.0991	88.0494	82.0764	79.8183
τ1	0.1262	−5.3411	−1.2446	−2.4983	−6.8267
τ2		0.5547			7.8347
λ (rate)			9.8281
λ1				−0.1288
λ2				0.4034
λ3				0.8180	0.2743
λ4				1.6236	0.6174
λ5				2.1601	0.0597
λ6				2.4385
λ7				2.4080	0.2245
λ8				1.9792	0.7487
λ9				1.4700	1.2254
λ10				1.1387	1.3616
Covariances
τ0↔ τ0	233.4468	625.8157	−9.0008	313.6485	348.3898
τ1↔ τ1	22.3028	385.5562	12.2186	411.1636	2485.5481
τ2↔τ2		3.5006		1414.3588
τ0↔ τ1	−46.4866	−445.1598	−34.4772	−272.0185	−596.6951
τ0↔ τ2	39.4834	21.3108
τ1↔ τ2		−35.7064			−1014.6153
Regression (TVC)
γ[1]	0.0018	−0.1782	−0.1836	−0.0994	−0.0605
γ[2]	0.0316	−0.0524	0.0614	−0.0715	−0.0338
γ[3]	−0.0002	−0.0289	0.0131	−0.0719	0.0652
γ[4]	−0.0132	−0.0168	−0.0256	−0.0632	0.0334
γ[5]	0.0334	0.0589	0.0363	0.0052	0.0381
γ[6]	0.0314	0.0643	0.0376	0.0178	0.0561
γ[7]	0.0191	0.0373	0.0251	0.0077	0.0501
γ[8]	0.0276	0.0215	0.0371	0.0130	0.0340
γ[9]	−0.0005	−0.0346	0.0087	−0.0181	−0.0277
γ[10]	−0.0228	−0.1161	−0.0233	−0.0690	−0.1033
γ[11]	−0.0162	−0.2055	−0.0138	−0.0757	−0.1268
γ[12]	0.0233	−0.0570	0.0256	−0.0318	−0.0539

denotes significant parameter at .