| Literature DB >> 32283282 |
Wanbo Zhu1, Xinyuan Li2, Yanning Wu3, Changqing Xu4, Li Li5, Jiazhao Yang6, Shiyuan Fang7.
Abstract
OBJECTIVE: The objective of our study was to introduce community quarantine strategy against coronavirus disease 2019 (COVID-19) in Anhui and evaluate the effectiveness of community quarantine based on trauma center (TC) patients.Entities:
Keywords: COVID-19; Community quarantine; SARS-CoV-2; Traffic injury
Mesh:
Year: 2020 PMID: 32283282 PMCID: PMC7194935 DOI: 10.1016/j.ijid.2020.04.016
Source DB: PubMed Journal: Int J Infect Dis ISSN: 1201-9712 Impact factor: 3.623
Fig. 1Illustration of the strategy of community quarantine adopted in Anhui. Community members were screened for COVID-19 by the community committee. The screening data were sharing between committee and the CDC. Suspected patients would be sent to designated hospitals for further treatment. The committee also responsible for traffic regulation and goods delivery during community quarantine.
Fig. 2Distribution of injuries in trauma centers. The daily injuries distribution in TCs include traffic injuries, indoor and outdoor injuries excluding traffic injuries from January 24 to February 24.
Fig. 3Description of daily new COVID-19-associated cases. The COVID-19-associated cases include new infected, suspected and medical observation cases from January 24 to February 24.
Pearson correlation analysis between injuries in TC and patients
| Injuries | New confirmed cases | New suspected cases | New medical observation cases | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Pearson coefficients | Pearson coefficients | Pearson coefficients | |||||||
| Total injuries | −0.5846 | 0.3418 | 0.0004 | −0.5371 | 0.2885 | 0.0015 | −0.5772 | 0.3331 | 0.0005 |
| Road traffic injuries | −0.5340 | 0.2851 | 0.0016 | −0.4806 | 0.2310 | 0.0054 | −0.5560 | 0.3091 | 0.0010 |
| Indoor injuries | 0.00384 | <0.0001 | 0.9834 | 0.0699 | 0.0049 | 0.7038 | −0.2093 | 0.04382 | 0.2502 |
| Outdoor injuries exclude traffic | −0.6545 | 0.4284 | <0.0001 | −0.6478 | 0.4197 | <0.0001 | −0.4985 | 0.2485 | 0.0037 |
Fig. 4Correlation analysis of injuries and daily new COVID-19-associated cases. A and B, correlation analysis of total injuries and daily new COVID-19-associated cases; C and D, correlation analysis of traffic injuries and daily new COVID-19 associated cases; E and F, correlation analysis of outdoor injuries and daily new COVID-19-associated cases.