Table 2.

Prediction models for the risk of COVID-19 by multivariable logistic regression. The model development database (n = 895) was used to create the models with area under the curve (AUC) values derived from testing the models against the validation data set (n = 435).

Characteristics	Overall Cohort Model			Unknown Contact History Model
	Odds Ratio	CI	p-value	Odds Ratio	CI	p-value
Age	1.04	(0.99, 1.09)	0.102	1.06	(1.01, 1.11)	0.012*
Age2	0.9991	(0.9986, 0.9996)	<0.001*	0.9989	(0.9984, 0.9994)	<0.001*
Contact History	10.0	(5.5, 18.2)	<0.001*
Total WCC (x 109 cells/L)	0.58	(0.52, 0.65)	<0.001*	0.59	(0.54, 0.66)	<0.001*
CXR C/GGO & PEff Absent	5.2	(3.1, 8.7)	<0.001*	4.9	(3.0, 7.8)	<0.001*
Validation indicators
AUC	0.911 (CI 0.880–0.941)			0.880 (CI 0.844–0.916)
Hosmer-Lemeshow test p-value	0.781			0.155

Note: the validation indicators were obtained based on the validation data set (n = 435).

CI = Confidence Interval; SOB = shortness of breath; WCC = white cell count; eGFR = estimated glomerular filtration rate; CXR = Chest x-ray; GGO = ground glass opacity; PEff = Pleural effusion and AUC = Area under the curve.