Table 3.

Factors predicting preparedness and relative concern for public health in implementing quarantine and isolation orders among health departments, United States, June 29–December 14, 2015

Factor	Existing Facilities for Isolation or Quarantinea		History of Social Distancing Ordersb		Biggest Concern Is Public Health Impact or Clinical Implicationc
	aORd (95% CI)	P Valuee	aORd (95% CI)	P Valuee	aORd (95% CI)	P Valuee
Per capita income (in $10 000s)	1.29 (0.60-2.77)	.51	0.98 (0.48-2.02)	.96	1.38 (0.68-2.81)	.37
Population (in 100 000s)	0.97 (0.87-1.09)	.63	1.10 (0.96-1.25)	.18	0.98 (0.89-1.08)	.69
Percentage rural (in 10% increments)	0.91 (0.76-1.09)	.30	0.84 (0.72-0.98)	.03	1.10 (0.96-1.26)	.18
Border state (0 = no; 1 = yes)	2.34 (0.75-7.31)	.15	1.00 (0.32-3.08)	>.99	1.87 (0.63-5.55)	.26
Political leaning (0 = Republican; 1 = Democratic)	1.44 (0.49-4.23)	.50	0.65 (0.24-1.73)	.39	0.96 (0.39-2.38)	.94

Abbreviation: aOR, adjusted odds ratio.

^a Based on the following survey question: Do you have any existing facilities your health department uses for isolation or quarantine? (yes = 24, no = 115; sample size = 139).

^b Based on the following survey question: In the past 10 years (since January 1, 2005), to your knowledge, have voluntary or involuntary orders related to social distancing (including quarantine, isolation, school closures, and work closures) been issued in your jurisdiction? (yes = 50, no = 100; sample size = 150).

^c Based on the following survey question: If faced with a decision to use or not use social distancing measures today, what would be your biggest concern? (yes = 49, no = 107; sample size = 156).

^d Each independent variable is adjusted for the other 4 department characteristics in each model.

^e Using a 2-tailed test of significance, with P < .05 considered significant.