| Literature DB >> 32192586 |
Li Li1, Qianghong Xv1, Jing Yan2.
Abstract
Entities:
Mesh:
Year: 2020 PMID: 32192586 PMCID: PMC7104229 DOI: 10.1016/S2213-2600(20)30125-9
Source DB: PubMed Journal: Lancet Respir Med ISSN: 2213-2600 Impact factor: 30.700
5C-certified physicians and COVID-19 cases and deaths, by Chinese province
| Jiangsu | 1808 (9·6%) | 631 | 5 (1·6%) | 0 (0%) |
| Henan | 1599 (8·4%) | 1271 | 28 (1·5%) | 19 (1·5%) |
| Guangdong | 1428 (7·5%) | 1347 | 46 (3·4%) | 7 (0·5%) |
| Sichuan | 1293 (6·8%) | 531 | 18 (3·4%) | 3 (0·6%) |
| Zhejiang | 1151 (6·1%) | 1205 | 35 (2·9%) | 1 (0·1%) |
| Shanxi | 820 (4·3%) | 245 | 4 (1·6%) | 1 (0·4%) |
| Hebei | 800 (4·2%) | 312 | 5 (1·6%) | 6 (1·9%) |
| Shandong | 669 (3·5%) | 756 | 14 (1·9%) | 6 (0·8%) |
| Chongqing | 653 (3·5%) | 576 | 22 (3·8%) | 6 (1·0%) |
| Yunnan | 617 (3·3%) | 174 | 1 (0·6%) | 2 (1·1%) |
| Hubei | 610 (3·2%) | 65 187 | 8326 (12·8%) | 2615 (4·0%) |
| Hunan | 598 (3·2%) | 1016 | 21 (2·1%) | 4 (0·4%) |
| Beijing | 541 (2·9%) | 400 | 12 (3·0%) | 4 (1·0%) |
| Shanghai | 386 (2·0%) | 336 | 12 (3·6%) | 3 (0·9%) |
| Others | 5967 (31·5%) | 4077 | 159 (3·9%) | 38 (0·9%) |
Data are n or n (%). Data obtained on Feb 26, 2020, from the National Health Commission of People's Republic of China and the Chinese Society of Critical Care Medicine.