Table 3. A matrix of p-values between hospitalized patients’ demographics, symptoms, medical history, length of hospital stay and time from diagnosis to definitive outcome.

Variables	Length of hospital stay	Time from diagn. to outc.
Age	< 0.001	< 0.001
Sex	0.5	0.2
Race	< 0.001	< 0.001
Symptoms
Sore throat	0.4	0.1
Shortness of breath	< 0.001	< 0.001
Fever	0.3	0.3
Cough	0.6	0.02
Comorbidities
Diabetes	0.4	0.1
Immunosuppression	1	0.3
Chronic kidney disease	0.9	0.8
Chronic respiratory disease	0.07	0.2
Cardiovascular disease	0.4	0.2
Chromosomal disorder	0.5	0.2
Others
Low-risk pregnancy	0.001	0.02
High-risk pregnancy	0.3	0.3
Length of hospital stay	< 0.001	< 0.001
Time from diagn. to outc.	< 0.001	< 0.001

Pearson correlation was used to estimate p-values for age, length of hospital stay and time from diagnosis to definitive outcome variables. Age is reported in years. Length of hospital stay and time from diagnosis to definitive outcome are reported in days. The remaining p-values were estimated using one-way ANOVA. Immunosuppression may refer to a patient with HIV infection or autoimmune disease. Bold p-values indicate statistically significant p-values lower than 0.05. “Time from diagn. to outc.” is an abbreviation for “Time from diagnosis to definitive outcome”.