Table 4.

The models of predictors in the variability of RdRp gene of SARS-CoV-2 based on the logistic regression analysis

Model	Modeling to	Variable (reference variant)	LR	OR (95% Cl)	p-value
A	Female	Constant term	−1.003	0.367 (0.147–0.913)	0.031
		Number of mutations	0.276	1.318 (1.013–1.715)	0.041
B	> 1 mutation	Constant term	−2.832	0.059 (0.015–0.232)	< 0.001
		Spectrum of COVID-19	0.811	0.250 (1.129–4.486)	0.021
C	> 2 mutations	Constant term	−4.302	0.014 (0.002–0.104)	< 0.001
		Spectrum of COVID-19	0.968	2.633 (1.451–4.778)	0.001
		Age	0.037	2.633 (1.002–1.075)	0.041
D	Hospitalized	Constant term	−6.118	0.002 (0.000–0.049)	< 0.001
		15279C > T	3.210	24.788 (3.906–157.302)	< 0.001
		Age	0.105	1.111 (1.050–1.176)	< 0.001
E	> 48 years old	Constant term	−0.938	0.391 (0.181–0.846)	0,017
		15240C > T	−1.259	0.284 (0.090–0.897)	0,032
		15,096 T > C	2.154	8.615 (1.032–71.936)	0.047
		Hospitalized	2.603	13.508 (4.423–41.254)	< 0,001
		Spectrum of COVID-19	1.287	3.623 (2.009–6.534)	< 0,001

The variables - number of mutations, specific mutation, age, gender, spectrum of COVID-19 (1st, 2nd, 3rd, 4th), hospitalized patients, outpatients) were used for the analysis. LR Estimate of the logistic regression parameter