Skip to main content
. 2020 Jun 8:1–8. doi: 10.1017/cem.2020.420

Table 3.

Univariable and multivariable analysis for the association between influenza-like symptoms and COVID-19 diagnosis

Univariable analysis Multivariable analysis with anosmia/hyposmia Multivariable analysis with dysgeusia/ageusia
OR (95% CI) p-value OR (95% CI) p-value OR (95% CI) p-value
Age 1.0 (0.9–1.0) 0.04
Gender 1.2 (0.6–2.4) 0.7
Fever 2.4 (1.1–5.1) 0.02 1.9 (0.7–5.3) 0.2 1.8 (0.7–4.7) 0.3
Cough 2.7 (1.3–5.6) < 0.01 1.8 (0.7–5.2) 0.3 2.2 (0.9–5.8) 0.1
Sore throat 0.4 (0.2–0.7) < 0.01 0.3 (0.1–0.8) 0.01 0.3 (0.09–0.6) < 0.01
Rhinorrhea 0.5 (0.2–1.0) 0.05
Nasal congestion 1.1 (0.6–2.3) 0.7
Shortness of breath 1.6 (0.8–3.5) 0.2
Fatigue 0.4 (0.1–1.3) 0.2
Headache 3.6 (1.1–13.9) 0.04 3.6 (0.7–22.0) 0.1 3.7 (0.8–20.6) 0.1
Abdominal pain or diarrhea 2.2 (1.0–5.0) 0.04
Anosmia/hyposmia* 19.7 (6.1–88.7) < 0.001 14.4 (4.0–70.5) < 0.001
Dysgeusia/ageusia* 13.2 (4.6–48.0) < 0.001 11.4 (3.6–45.3) < 0.001

Notes: Boldface text indicates statistically significant p-value (< 0.05).

*Smell and taste loss based on reported data around the time of self-reported COVID-19 symptom onset (5 days before or any time after); OR = odds ratio; CI = confidence interval.