Epidemiological characteristics of 42 cases of COVID-19 in Dazhou, Sichuan

Peng Huanwen, Hu Xiaoqi, Pan Xia, Yue Shijia, Z. Hong, Wang Shundong, Xu Lin, L. Yanfang, Wang Pingxi
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引用次数: 0

Abstract

Objective To analyze epidemiological characteristics of coronavirus disease 2019(COVID-19) in Dazhou City, we provide a scientific basis for prevention and control of COVID-19 in Dazhou City. Methods Statistical analysis of 42 cases of COVID-19 reported in Dazhou were conducted from January to February 2020. Results Cases were reported in 7 counties (cities, districts) of Dazhou City. The population was mainly 30–49 years old, and no confirmed cases of minors were reported. The peak incidence was from January 26 to February 5, 2020. Clinical symptoms were mainly fever (59.52%) and cough (64.29%), and the abnormal rate of lung was 90.48% in early CT examination. 18 of the 19 imported cases had a history of residence or staying in Wuhan. The median number of days from onset to hospitalization, confirmed to discharge, and long duration of viral shedding were 5.5, 18.5 and 7.0 days, inter-quartile range of days were 5.5, 8.0 and 6.0 days, respectively. Conclusion In January, the imported epidemic were the main ones in Dazhou, and in February, local cases kept increasing. Later, the epidemic disease was gradually controlled after the strict control measures were implemented. Fever and cough are used as clinical screening indicators for COVID-19, and CT examination can be used as an early screening method; Shortening the time from onset to hospitalization and ensuring the operation of fever clinics can reduce the spread of the disease; The time of hospitalization and the average time of carrying virus of patients are relatively long. Long-term treatment, psychological counseling and improving patient’s coordination should be prepared during treatment. The aggregated epidemic in Dazhou City is serious, and there is a gap in grass-roots work. In the new cycle, various prevention and control work need to be further implemented so as to prevent local cases caused by foreign imports. 摘要:目的 分析达州市新型冠状病毒肺炎 (新冠肺炎) 病例流行病学特征, 为达州市新冠肺炎防控提供科学依 据。 方法 对 2020 年 1—2 月达州市报告的 42 例新冠肺炎病例资料进行统计分析。 结果 达州市 7 个县 (市、区) 均有 病例报告, 人群以 30~<50 岁为主, 无未成年人确诊病例报告; 发病高峰在 2020 年 1 月 26 日—2 月 5 日, 临床症状以发热 (59.52%) 和咳嗽 (64.29%) 为主, 早期 CT 检查肺部异常率 90.48%; 19 例输入性病例中 18 例有武汉旅居史或停留史; 患 者发病到住院、确诊到出院和持续排毒时间中位数分别为 5.5 d、18.5 d 和 7.0 d, 四分位数间距分别为 5.5 d、8.0 d 和 6.0 d。 结论 达州市 1 月份以输入性疫情为主, 2 月份本地病例不断增加, 2 月下旬疫情逐渐控制; 将发热、咳嗽作为新 冠肺炎临床筛查指征, CT 检查可作为早期筛查手段; 患者住院时间和持续排毒时间较长, 应做好长时间治疗准备及治 疗过程中心理疏导, 提高患者配合度; 达州市聚集性疫情程度较重, 基层工作有差距, 新周期需进一步落实各项防控工 作, 严防因境外输入引发本地病例。
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四川省达州42例新冠肺炎流行病学特征分析
目的分析达州市2019冠状病毒病(COVID-19)的流行病学特征,为达州市2019冠状病毒病的防控提供科学依据。方法对2020年1 - 2月达州市报告的42例新冠肺炎病例进行统计分析。结果全州有7个县(市、区)报告病例。人口主要为30-49岁,未报告未成年人确诊病例。发病高峰为2020年1月26日至2月5日。临床表现以发热(59.52%)、咳嗽(64.29%)为主,早期CT检查肺部异常率为90.48%。19例输入病例中有18例有在武汉居住或停留史。发病至住院、确诊至出院、病毒脱落持续时间的中位数分别为5.5、18.5和7.0天,四分位数间分别为5.5、8.0和6.0天。结论1月份,达州市以输入性疫情为主,2月份本地病例持续增加。后来,经过严格的控制措施,疫情逐渐得到控制。以发热、咳嗽为临床筛查指标,CT检查可作为早期筛查手段;缩短从发病到住院的时间并确保发热门诊的运作,可减少疾病的传播;患者住院时间和平均携带病毒时间较长。治疗过程中应做好长期治疗、心理疏导和提高患者协调能力的准备。达州市聚集性疫情严重,基层工作存在空白。新周期要进一步做好各项防控工作,防止境外输入引起的本地病例。摘要:目的 分析达州市新型冠状病毒肺炎 (新冠肺炎) 病例流行病学特征, 为达州市新冠肺炎防控提供科学依 据。 方法 对 2020 年 1—2 月达州市报告的 42 例新冠肺炎病例资料进行统计分析。 结果 达州市 7 个县 (市、区) 均有 病例报告, 人群以 30~<50 岁为主, 无未成年人确诊病例报告; 发病高峰在2020年1月26日2月5日,临床症状以发热(59.52%)和咳嗽(64.29%)为主,早期CT检查肺部异常率90.48%;19 例输入性病例中 18 例有武汉旅居史或停留史; 患者发病到住的院,确诊到出院和持续排毒时间中位数分别为5.5 d, 18.5和7.0 d,四分位数间距分别为5.5 d, 8.0和6.0 d。结论 达州市 1 月份以输入性疫情为主, 2 月份本地病例不断增加, 2 月下旬疫情逐渐控制; ;患者住院时间和持续排毒时间较长, 应做好长时间治疗准备及治 疗过程中心理疏导, 提高患者配合度; 达州市聚集性疫情程度较重, 基层工作有差距, 新周期需进一步落实各项防控工 作, 严防因境外输入引发本地病例。
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期刊介绍: China Tropical Medicine, was approved by the Ministry of Science and Technology in 2001, is the only tropical medicine periodical under the charge of the National Health Commission of China. It’s organized by Hainan Provincial Center for Disease Prevention and Control, and Chinese Preventive Medicine Association. The journal is indexed by the following database: Scopus database, Embase database, EBSCO Database, The Western Pacific Region index medicus (WPRIM), American Chemical Abstracts (CA), International Centre for Agricultural and Biological Sciences Research Database (CABI), Global Health Database, Database of the Ulrich's Periodicals Directory, China Science and Technology Core Journals, China Core Journals (Selection) Database, Database of Chinese Biomedical Literature, Comprehensive Evaluation Database of Chinese Academic Journals, CAJCD Code of Conduct Excellent Journal, Database of Chinese SCI-Tech Periodicals, China Journal Full Text Database.
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