Table 2 Demographic characteristics of patients with CHIKF across clinical sites in India.
From: Clinical and molecular epidemiology of chikungunya outbreaks during 2019–2022 in India
Demographic Characteristics | Year 2019 Krishnagiri (n = 66) | Year 2021 Mumbai (n = 59) | Year 2022 Chandigarh (n = 79) | Year 2022 Khordha (n = 6) | |
|---|---|---|---|---|---|
Age in years | Median (IQR) | 30.5 (20–45) | 40 (29–50) | 40 (30–46) | 36.5 (26–49) |
Range | 12 to 65 | 13 to 67 | 13 to 70 | 15 to 57 | |
Age in years (Male) | Median (IQR) | 35 (21–55) | 42 (27–50) | 38 (31–43) | 26 (15–42) |
Range | 15 to 65 | 13 to 65 | 14 to 70 | 15 to 42 | |
Age in years (Female) | Median (IQR) | 30 (19–45) | 39.5 (30–50) | 41 (30–53) | 49 (31–57) |
Range | 11 to 65 | 21 to 67 | 13 to 67 | 31 to 57 | |
Age Group | N (%) | N (%) | N (%) | N (%) | |
12 to 20 | 15 (22.7) | 2 (3.4) | 5 (6.3) | 1 (16.7) | |
21 to 30 | 12 (18.2) | 14 (23.7) | 14 (17.7) | 1 (16.7) | |
31 to 40 | 14 (21.2) | 11 (18.6) | 18 (22.8) | 1 (16.7) | |
41 to 50 | 11 (16.7) | 16 (27.1) | 27 (34.2) | 2 (33.3) | |
51 to 60 | 7 (10.6) | 11 (18.6) | 7 (8.9) | 1 (16.7) | |
61 to 70 | 7 (10.6) | 5 (8.5) | 7 (8.9) | 0 (0) | |
71 to 75 | 0 (0) | 0 (0) | 1 (1.3) | 0 (0) | |
Gender | Male | 26 (39.4) | 33 (55.9) | 42 (53.2) | 3 (50) |
Female | 40 (60.6) | 26 (44.1) | 37 (46.8) | 3 (50) | |
BMI | BMI < 17.0: thinness. | 8 (12.1) | 1 (1.7) | 0 (0) | 1 (16.7) |
BMI < 18.5: underweight. | 5 (7.6) | 1 (1.7) | 0 (0) | 0 (0) | |
BMI 18.5–24.9: normal weight. | 42 (63.6) | 30 (50.8) | 7 (9) | 4 (66.7) | |
BMI ≥ 25.0: overweight. | 8 (12.1) | 14 (23.7) | 5 (6.4) | 1 (16.7) | |
BMI ≥ 30.0: obesity | 1 (1.5) | 8 (13.6) | 2 (2.6) | 0 (0) | |
Socio-Economic Status | Upper | 0 (0) | 0 (0) | 0 (0) | 0 (0) |
Upper Middle | 0 (0) | 0 (0) | 0 (0) | 0 (0) | |
Middle | 2 (3) | 27 (45.8) | 55 (70.5) | 3 (50) | |
Lower Middle | 61 (92.4) | 29 (49.2) | 17 (21.8) | 3 (50) | |
Lower | 3 (4.5) | 3 (5.1) | 6 (7.7) | 0 (0) |
