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. 2019 Apr 9;70(5):850–858. doi: 10.1093/cid/ciz296

Table 3.

Multivariable Analyses on Factors Associated With the Detection of Influenza Viral RNA in Air

Risk Factor Best Fit Model Competing Model 1 Competing Model 2 Competing Model 3
aOR (95% CI); P Value aOR (95% CI); P Value aOR (95% CI); P Value aOR (95% CI); P Value
Crowdedness (No. of occupants on site)a
 Low Reference Reference Reference Reference
 Intermediate 1.21 (.73–2.04); P = .461 1.22 (.73–2.05); P = .452 1.18 (.70–2.00); P = .530 1.16 (.69–1.95); P = .585
 High 2.29 (1.44–3.71); P < .001 2.33 (1.46–3.79); P < .001 2.19 (1.36–3.60); P = .002 2.13 (1.33–3.49); P = .002
Indoor temperature (°C)
 Numeric 1.14 (1.05–1.23); P = .001 1.19 (1.07–1.33); P = .001 1.12 (1.02–1.23); P = .014 1.13 (1.04–1.23); P = .003
Indoor AH (kg/m3)
 Numeric (per 0.002 increase) 0.89 (.74–1.07); P = .213
Outdoor AH (kg/m3)
 Numeric (per 0.002 increase) 1.03 (.95–1.12); P = .475
AH difference (indoor–outdoor) (kg/m3)
 Numeric (per 0.002 increase) 0.94 (.86–1.03); P = .181

Sampling performed on teaching days vs holidays was highly associated with numbers of occupants on site (χ2 test, P < .001); as such, crowdedness (number of occupants on site) was included in the multivariable analysis.

Abbreviations: AH, absolute humidity; aOR, adjusted odds ratio; CI, confidence interval.

aNumber of occupants was categorized into high, intermediate, and low based on the numeric data distribution: high (upper 33%), intermediate (middle 33%), and low (lower 33%)