| Literature DB >> 32277966 |
Wei Li1, Jie Zhang2, Shifu Xiao1, Lin Sun1.
Abstract
Entities:
Mesh:
Year: 2020 PMID: 32277966 PMCID: PMC7141456 DOI: 10.1016/j.jinf.2020.03.030
Source DB: PubMed Journal: J Infect ISSN: 0163-4453 Impact factor: 6.072
Demographics of deceased medical workers in China by Mar 16, 2020
| Characteristic | Total(n=24) | COVID-19 infection(n=13, 54.2%) | Sudden death(n=8, 33.3%) | Traffic accident(n=3, 12.5%) | Z/χ2( |
|---|---|---|---|---|---|
| Age, Median (IQR) -yrs | 50.5(36.25-56.5) | 51(38.0-58.0) | 50(36.25-56.5) | / | -0.399(0.690) |
| Male, No. (%) | 20(83.3) | 11(84.6) | 7(87.5) | 2(66.7) | 1.180(0.579) |
| Hubei resident, No. (%) | 11(45.8) | 11(84.6) | 0(0.0) | 0(0.0) | 17.293(0.000*) |
| Wuhan resident, No. (%) | 9(37.5) | 9(69.2) | 0(0.0) | 0(0.0) | 11.684(0.001*) |
| Community hospital, No. (%) | 11(45.8) | 3(23.1) | 5(62.5) | 3(100.0) | 6.644(0.022*) |
| Onset to admission, Median (IQR)-days | / | 2(1-5.5) (n=9) | / | / | / |
| Admission to death, Median (IQR)-days | / | 26(21.25-36.5) (n=12) | / | / | / |
| Onset to death, Median (IQR)-days | / | 30.5(25-35.25) (n=10) | / | / | / |
Fig. 1A) Death date, demographics, and death cause of medical workers in China by Mar 16, 2020. Infection with COVID-19 marked with blue, sudden death marked with purple, and traffic death marked with red. B) The new number of deceased medical workers with confirmed COVID-19 infection at admission per 5 days (marked with blue), new number of medical workers with sudden death per 5 days (marked with purple), and new number of medical workers with traffic accident per 5 days (marked with red).