Business School, University of Shanghai for Science and Technology, Shanghai, China.
Lucheng Center for Disease Control and Prevention, Wenzhou, China.
J Infect Dev Ctries. 2022 May 30;16(5):752-758. doi: 10.3855/jidc.15670.
A local outbreak of coronavirus disease 2019 (COVID-19) has rapidly evolved into a global pandemic and the number of cases and deaths has increased exponentially. In this study, we report a COVID-19 outbreak that occurred in a departmental store, between January and February 2020, in Wenzhou, China and investigated the reasons for the outbreak.
An outbreak investigation was initiated after the index case was diagnosed as COVID-19. Cases (confirmed and suspected) and close contacts were defined. Their pharyngeal swabs were collected and examined with real-time polymerase chain reaction (RT-PCR) for nucleic acid. All investigations of the confirmed and suspected cases were carried out by epidemiologists and the source of infection was tracked by using big data.
Thirty-nine COVID-19 cases and one asymptomatic individual were found in this outbreak, as determined by clinical manifestations, epidemiological investigation, and RT-PCR. Majority of COVID-19 cases occurred in a departmental store, three of whom traveled to participate in a meeting held in H city. After disease outbreak in the departmental store, intra-family transmission of COVID-19 occurred in five families. Two clusters of the COVID-19 outbreak were identified. One cluster was attributed to the family party, while another was attributed to a hotel party, which was responsible for transmission across three generations, infecting five family members.
This was travel associated COVID-19 outbreak in a departmental store in Wenzhou, China. High infectivity of COVID-19 was observed. A departmental store, especially without recirculation of the air, was a high-risk site for the transmission of COVID-19. The use of big data and related information was very useful in epidemiological investigation of cases and contacts.
2019 年冠状病毒病(COVID-19)局部暴发迅速演变为全球大流行,病例和死亡人数呈指数级增长。在本研究中,我们报告了 2020 年 1 月至 2 月在中国温州一家百货公司发生的 COVID-19 暴发事件,并调查了暴发的原因。
在首例确诊为 COVID-19 后,即启动了暴发调查。病例(确诊和疑似)和密切接触者被定义。采集他们的咽拭子,用实时聚合酶链反应(RT-PCR)检测核酸。通过流行病学家对所有确诊和疑似病例进行调查,并利用大数据追踪感染源。
通过临床表现、流行病学调查和 RT-PCR 检测,确定此次暴发中有 39 例 COVID-19 病例和 1 例无症状感染者。多数 COVID-19 病例发生在一家百货公司,其中 3 人前往 H 市参加会议。百货公司暴发疫情后,5 个家庭中发生了 COVID-19 家庭内传播。确定了 2 个 COVID-19 暴发聚集。一个聚集是由于家庭聚会,另一个聚集是由于酒店聚会,该聚会导致跨三代传播,感染了 5 名家庭成员。
这是中国温州一家百货公司发生的与旅行相关的 COVID-19 暴发。COVID-19 的传染性很强。百货公司,特别是没有空气再循环的百货公司,是 COVID-19 传播的高风险场所。大数据和相关信息的使用对病例和接触者的流行病学调查非常有用。