Table 3.

Logistic regression analysis for identifying the risk factors for SARS-CoV-2 secondary transmission.

Variable	Univariate analysis			Multivariable analysisa
	ORb	95% CI	P value	ORc	95% CI		P value
Age	0.97	0.93-1.00	.12	1.00		0.96-1.05	.90
Male (reference: female)	0.11	0.01-0.50	.03	0.11		0.01-0.53	.03
Days from the last vaccinationd (days)	1.05	1.02-1.07	.001	1.04		1.01-1.07	.006
Room sharing	1.96	0.85-5.32	.14	2.72		0.40-14.42	.26
Mask wearing	0.55	0.23-1.19	.15	2.20		0.35-9.86	.34
RTLSe (reference: conventional)	5.94	2.09-24.92	.004	6.15		1.92-28.69	.007

^aLogistic regression was used to calculate the risk of secondary transmission. Variables with clinical significance and statistical significance in the univariate analysis were included in the model.

^bOR: odds ratio.

^cAdjustment for all the variables involved in the univariate model.

^dDays passed from the last vaccination.

^eRTLS: real-time locating system.