Table 1.
Category | Variable | Number (%) |
---|---|---|
Gender | ||
Female | 144 (51.1%) | |
Male | 135 (47.9%) | |
Non-conforming | 0 (0%) | |
Prefer not to answer | 3 (1.1%) | |
Age (years) | ||
< 20 | 0 (0%) | |
20–29 | 18 (6.4%) | |
30–39 | 140 (49.6%) | |
40–49 | 78 (27.7%) | |
50–59 | 37 (13.1%) | |
60–69 | 7 (2.5%) | |
70 + | 2 (0.7%) | |
Technical backgrounda | ||
Epidemiology | 225 (79.8%) | |
Public Health | 158 (56%) | |
Medicine | 70 (24.8%) | |
Laboratory | 35 (12.4%) | |
Nursing | 25 (8.9%) | |
Data science | 21 (7.4%) | |
Veterinary | 19 (6.7%) | |
Social Science | 14 (5.0%) | |
Other | 23 (8.2%) |
aMultiple technical backgrounds per respondent