Table 1.
Characteristics of CoronaCheck app users stratified by country.
| Characteristics | Country | Total (N=23,179), n (%) | ||||||||||
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|
Germany (n=8116, 35.0%), n (%) | India (n=6622, 28.6%), n (%) | South Africa (n=3705, 16.0%), n (%) | Other countries (n=4736, 20.4%), n (%) |
|
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| Gender identity (P<.001) | ||||||||||||
|
|
Man | 4769 (58.8) | 4686 (70.8) | 2082 (56.2) | 3305 (69.8) | 14,842 (64.0) | ||||||
|
|
Woman | 3308 (40.8) | 1893 (28.6) | 1611 (43.5) | 1406 (29.7) | 8218 (35.5) | ||||||
|
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Diverse | 39 (0.5) | 43 (0.6) | 12 (0.3) | 25 (0.5) | 119 (0.5) | ||||||
| Age (years; P<.001) | ||||||||||||
|
|
< 30 | 1964 (24.2) | 4649 (70.2) | 1982 (53.5) | 2507 (52.9) | 11,102 (47.9) | ||||||
|
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30-49 | 2722 (33.5) | 1556 (23.5) | 1469 (39.6) | 1480 (31.4) | 7227 (31.2) | ||||||
|
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≥50 | 3430 (42.3) | 417 (6.3) | 254 (6.9) | 749 (15.8) | 4850 (20.9) | ||||||
| Education (years; P<.001) | ||||||||||||
|
|
<12 | 3827 (47.2) | 1849 (27.9) | 891 (24.0) | 1372 (29.0) | 7939 (34.3) | ||||||
|
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≥12 | 3030 (37.3) | 2047 (30.9) | 1906 (51.4) | 1970 (41.6) | 8953 (38.6) | ||||||
|
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Missing | 1259 (15.5) | 2726 (41.2) | 908 (24.5) | 1394 (29.4) | 6287 (27.1) | ||||||
| Calendar year (P<.001) | ||||||||||||
|
|
2020 | 7084 (87.3) | 5805 (87.7) | 3094 (83.5) | 3740 (79.0) | 19,723 (85.1) | ||||||
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2021/2022 | 1032 (12.7) | 817 (12.3) | 611 (16.5) | 996 (21.0) | 3456 (14.9) | ||||||
| User status (P<.001) | ||||||||||||
|
|
Reported for oneself | 7499 (92.4) | 5222 (78.9) | 3314 (89.4) | 4032 (85.1) | 20,067 (86.6) | ||||||
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Reported for another person | 617 (7.6) | 1400 (21.1) | 391 (10.6) | 704 (14.9) | 3112 (13.4) | ||||||