Table 1.
Demographic characteristics and the exposure of the COVID-19 epidemic of non-frontline and frontline medical workers.
| Non-frontline medical workers(n = 1173) | Frontline medical workers(n = 1173) | Degree of freedom (df) | P value | |
|---|---|---|---|---|
| Male | 348 (29.7) | 354 (30.2) | 1 | 0.79 |
| Age (years) | 30.5 ± 8.7 | 30.6 ± 8.8 | 2344 | 0.83 |
| Education years | 16.8 ± 2.2 | 16.8 ± 2.1 | 2344 | 0.49 |
| Unmarried status | 259 (22.1) | 265 (22.6) | 1 | 0.77 |
| Jobs | 1 | < 0.01 | ||
| Medical staff | 1095 (93.4) | 1156 (98.6) | ||
| Other medical workers | 78 (6.6) | 17 (1.4) | ||
| Annual household income <11,255 (USD, per head) | 787 (67.1) | 843 (71.9) | 1 | 0.01 |
| Living alone | 205 (17.5) | 363 (30.9) | 1 | < 0.01 |
| Geographic origin | 2 | < 0.01 | ||
| Wuhan City | 169 (14.4) | 264 (22.5) | ||
| Hubei province (excluding Wuhan City) | 690 (58.8) | 809 (69.0) | ||
| Other areas in Chinaa | 314 (26.8) | 100 (8.5) | ||
| The exposure of the COVID-19 epidemicb | ||||
| Number of cumulative cases | 13,886.6 ± 10,018.7 | 17,982.0 ± 9021.0 | 2344 | < 0.01 |
| Number of daily new cases | 2766.6 ± 4419.5 | 3994.0 ± 5104.9 | 2344 | < 0.01 |
| Prevalence (‱) | 7.0 ± 12.1 | 10.3 ± 14.1 | 2344 | < 0.01 |
| Daily incidence (per 10,000) | 2.3 ± 5.2 | 3.5 ± 6.1 | 2344 | < 0.01 |
Data are presented as mean ± standard deviation or n (%).
Abbreviations: Other medical workers: support staff, patient care staff and so on; COVID-19: Coronavirus Disease 2019; Medical staff: mainly including doctors and nurses;.
a
Other areas in China: including 22 provinces, 5 autonomous regions, 4 municipalities and 2 special administrative regions.
b
The participants’ exposure to the COVID-19 epidemic was estimated by the regional epidemic parameters.