| 董晓春,李佳萌,柏建芸,柳忠泉,周朋辉,高璐,李晓燕,张颖.天津市新型冠状病毒肺炎确诊病例流行病学特征分析[J].Chinese journal of Epidemiology,2020,41(5):638-641 |
| 天津市新型冠状病毒肺炎确诊病例流行病学特征分析 |
| Epidemiological characteristics of confirmed COVID-19 cases in Tianjin |
| Received:February 21, 2020 |
| DOI：10.3760/cma.j.cn112338-20200221-00146 |
| KeyWord: 新型冠状病毒肺炎 暴发流行 流行病学特征 |
| English Key Word: COVID-19 Outbreak Epidemiological characteristics |
| FundProject:国家科技重大专项（2017ZX10103007-002） |
| Author Name | Affiliation | E-mail | | Dong Xiaochun | Tianjin Centers for Diseases Control and Prevention, Tianjin 300011, China | | | Li Jiameng | Tianjin Centers for Diseases Control and Prevention, Tianjin 300011, China | | | Bai Jianyun | Tianjin Centers for Diseases Control and Prevention, Tianjin 300011, China | | | Liu Zhongquan | Tianjin Centers for Diseases Control and Prevention, Tianjin 300011, China | | | Zhou Penghui | Tianjin Centers for Diseases Control and Prevention, Tianjin 300011, China | | | Gao Lu | Tianjin Centers for Diseases Control and Prevention, Tianjin 300011, China | | | Li Xiaoyan | Tianjin Centers for Diseases Control and Prevention, Tianjin 300011, China | | | Zhang Ying | Tianjin Centers for Diseases Control and Prevention, Tianjin 300011, China | cdczhangying@sina.com |
|
| Hits: 4621 |
| Download times: 1667 |
| Abstract: |
| 目的 探讨天津市135例新型冠状病毒肺炎（COVID-19）确诊病例临床及流行病学特征。方法 收集天津市135例COVID-19确诊病例的临床及流行病学资料，对数据进行描述性分析，并对病情严重程度影响因素进行分析。结果 135例病例中，男性72例，女性63例，年龄（48.62±16.83）岁，病死率为2.22%。74.81%的病例感染来源为本地传播。共发生33起聚集性疫情，涉及的病例占全部病例的85.92%。疾病的中位潜伏期为6.50 d，代间距平均为5.00 d，家庭内续发率为20.46%。发热的病例占比78.63%，其次为咳嗽56.48%；多因素回归分析显示年龄（OR=1.038，95% CI：1.010~1.167）、慢性基础性疾病病种数（OR=1.709，95% CI：1.052~2.777）是重症的危险因素。结论 天津市COVID-19病例早期以发热为主，本地聚集性疫情为确诊病例的主要构成，高年龄、有多种基础性疾病的人群容易转为重症，对密切接触者严格隔离及加强高危人群的救治是降低发病率和病死率的主要措施。 |
| English Abstract: |
| Objective To investigate the clinical and epidemiological characteristics of 135 confirmed cases of COVID-19 in Tianjin. Methods The clinical and epidemiological data of 135 cases of COVID-19 in Tianjin were collected, and the data were analyzed with descriptive method. The factors influencing the severity of the illness were analyzed. Results Among the 135 COVID-19 cases, 72 were males and 63 were females, the age of the cases was (48.62±16.83) years, and the case fatality rate was 2.22%. Local transmission caused 74.81% of the cases. A total of 33 clusters occurred, involving 85.92% of all COVID-19 cases. The median of the incubation period of COVID-19 was 6.50 days, the average generation interval was 5 days, and the household secondary transmission rate was 20.46%. Fever was the main symptom (78.63%), followed by cough (56.48%). Multivariate regression analysis indicated that age (OR=1.038, 95%CI:1.010-1.167) and the number of chronic underlying diseases (OR=1.709, 95%CI:1.052-2.777) were the risk factors of severe illness. Conclusions Fever was the main symptom at the early phase of COVID-19 in Tianjin, and the local cluster cases accounted for high proportion in confirmed COVID-19 cases reported in Tianjin. Severe illness was prone to occur in people with old age and multi underlying diseases. Strict isolation of close contacts and intensive care of high-risk groups are the main measures to reduce the morbidity and case fatality of COVID-19. |
|
View Fulltext
Html FullText
View/Add Comment Download reader |
| Close |
|
|
|