Table 3 Factors affecting the severity of COVID-19 among 2126 local cases using Logistic regression model
Factors | N | Univariate analysis | Multivariate analysis# | ||
|---|---|---|---|---|---|
EXP(β) (95%CI) | P-value | EXP(β) (95%CI) | P-value | ||
Incubation | |||||
Normal | 1893 | 1 | – | 1 | – |
Prolonged | 233 | 0.461 (0.247, 0.790) | 0.009 | 0.386 (0.203, 0.677) | 0.002 |
Sex | |||||
Female | 1071 | 1 | – | ||
Male | 1055 | 1.058 (0.804, 1.393) | 0.689 | ||
Age, year | |||||
0–45 | 992 | 1 | – | 1 | – |
46–60 | 670 | 1.615 (1.098, 2.380) | 0.015 | 1.380 (0.927, 2.054) | 0.112 |
> 60 | 464 | 5.857 (4.169, 8.324) | < 0.001 | 4.482 (3.074, 6.584) | < 0.001 |
Occupation | |||||
Manual workera | 174 | 1 | – | No significant and excluded | |
Farmer | 426 | 4.852 (2.338, 11.802) | < 0.001 | ||
Office worker | 398 | 1.805 (0.816, 4.566) | 0.172 | ||
Public service worker | 354 | 2.453 (1.125, 6.149) | 0.036 | ||
Unemployed | 774 | 3.060 (1.492, 7.389) | 0.005 | ||
Geographical Location | |||||
Northern | 617 | 1 | – | 1 | – |
Central | 946 | 0.630 (0.463, 0.859) | 0.003 | 0.644 (0.465, 0.894) | 0.008 |
Southern | 563 | 0.490 (0.333, 0.712) | < 0.001 | 0.561 (0.374, 0.832) | 0.005 |
Type of residence | |||||
Urban area | 1291 | 1 | – | ||
Rural area | 835 | 1.212 (0.916, 1.598) | 0.175 | ||
Underlying disease | |||||
None | 1542 | 1 | – | 1 | – |
Cardia-cerebrovascular disease | 305 | 2.562 (1.819, 3.574) | < 0.001 | 1.511 (1.041, 2.175) | 0.028 |
Diabetes | 101 | 2.457 (1.492, 3.967) | < 0.001 | 2.155 (1.288, 3.538) | 0.003 |
Other disease | 300 | 2.060 (1.457, 2.877) | < 0.001 | 1.605 (1.114, 2.283) | 0.010 |