Table 3.

Adjusted binary logistic regression model for age and gender categories as predictors for COVID-19 status.

Categories	Coef.	p-value	O.R.	95% C.I. for O.R.
				Lower	Upper
Gender	0.576	<0.001	1.779	1.456	2.175
0–4 years	4.214	<0.001	67.604	34.872	131.059
5–17 years	4.481	<0.001	88.286	54.423	143.217
18–35 years	3.224	<0.001	25.121	19.202	32.865
36–55 years	1.230	<0.001	3.421	2.631	4.450
Constant	−4.297	<0.001	0.014	–

The Nagelkerke R² shows that the model is explaining 26.4% of the results and Hosmer Lemeshow tests show that the model is a good fit (p = 0.895).

Reference Category = “males” and “56 years & above”; Predicted probabilities for “recovered”.