Table 1.
Demographic characteristics of patients with confirmed COVID-19 in South Korea.
| Characteristic | Entire cohort, n (%) | Cluster and contact cases, n (%) | Noncluster casesa, n (%) | |||||
|
|
|
Linked to medical facilities | Linked to long-term care facilities | Linked to religious facilities | Othersb |
|
||
| Patients | 2537 (100) | 143 (5.6) | 221 (8.7) | 486 (19.2) | 455 (17.9) | 1232 (48.6) | ||
| Age (years) | ||||||||
|
|
0-19 | 151 (6.0) | 3 (2.1) | 2 (0.9) | 33 (6.8) | 35 (7.7) | 78 (6.3) | |
|
|
20-39 | 974 (38.4) | 28 (19.6) | 15 (6.8) | 196 (40.3) | 123 (27.0) | 612 (49.7) | |
|
|
40-59 | 805 (31.7) | 44 (30.8) | 39 (17.6) | 162 (33.3) | 240 (52.7) | 320 (26.0) | |
|
|
≥60 | 607 (23.9) | 68 (47.6) | 165 (74.7) | 95 (19.5) | 57 (12.5) | 222 (18.0) | |
| Sex | ||||||||
|
|
Male | 1160 (45.7) | 49 (34.3) | 68 (30.8) | 228 (46.9) | 176 (38.7) | 639 (51.9) | |
|
|
Female | 1377 (54.3) | 94 (65.7) | 153 (69.2) | 258 (53.1) | 279 (61.3) | 593 (48.1) | |
| Region of residence | ||||||||
|
|
Urban | 934 (36.8) | 25 (17.5) | 8 (3.6) | 146 (30.0) | 210 (46.2) | 545 (44.2) | |
|
|
Rural | 1603 (63.2) | 118 (82.5) | 213 (96.4) | 340 (70.0) | 245 (53.8) | 687 (55.8) | |
| Died | ||||||||
|
|
No | 2500 (98.5) | 132 (92.3) | 202 (91.4) | 485 (99.8) | 454 (99.8) | 1227 (99.6) | |
|
|
Yes | 37 (1.5) | 11 (7.7) | 19 (8.6) | 1 (0.2) | 1 (0.2) | 5 (0.4) | |
aNoncluster cases were linked to overseas influx (641/2537, 25.3%), influx for community-infection outbreak areas (229/2537, 9.0%), and sporadic cases (362/2537, 14.3%).
bOther facilities included military units, dance studios, karaoke, internet cafés, public transport, prisons, and workplaces of each patient.