[Epidemiological investigation on the local epidemic situation in Zhengzhou High-Tech Zone caused by SARS-CoV-2 Delta variant]

Zhonghua Yu Fang Yi Xue Za Zhi. 2023 Jan 6;57(1):43-47. doi: 10.3760/cma.j.cn112150-20220315-00247.
[Article in Chinese]

Abstract

This study collected epidemic data of COVID-19 in Zhengzhou from January 1 to January 20 in 2022. The epidemiological characteristics of the local epidemic in Zhengzhou High-tech Zone caused by the SARS-CoV-2 Delta variant were analyzed through epidemiological survey and big data analysis, which could provide a scientific basis for the prevention and control of the Delta variant. In detail, a total of 276 close contacts and 599 secondary close contacts were found in this study. The attack rate of close contacts and secondary close contacts was 5.43% (15/276) and 0.17% (1/599), respectively. There were 10 confirmed cases associated with the chain of transmission. Among them, the attack rates in close contacts of the first, second, third, fourth and fifth generation cases were 20.00% (5/25), 17.86% (5/28), 0.72% (1/139) and 14.81% (4/27), 0 (0/57), respectively. The attack rates in close contacts after sharing rooms/beds, having meals, having neighbor contacts, sharing vehicles with the patients, having same space contacts, and having work contacts were 26.67%, 9.10%, 8.33%, 4.55%, 1.43%, and 0 respectively. Collectively, the local epidemic situation in Zhengzhou High-tech Zone has an obvious family cluster. Prevention and control work should focus on decreasing family clusters of cases and community transmission.

收集2022年1月1至20日郑州市新型冠状病毒肺炎疫情数据,通过流行病学调查结合大数据轨迹分析Delta变异株引起的郑州市高新区本土疫情流行特征。本研究共追踪到密切接触者和次密接触者分别为276例和599例,密切接触者的罹患率为5.43%(15/276),次密接触者的罹患率为0.17%(1/599)。传播链关联确诊病例10例,一至五代病例密切接触者罹患率分别为20.00%(5/25)、17.86%(5/28)、0.72%(1/139)、14.81%(4/27)、0(0/57)。密切接触者不同接触方式显示:与病例同住/同屋、同餐、邻居间接触、同一交通工具接触、同空间、工作接触的罹患率分别为26.67%、9.10%、8.33%、4.55%、1.43%、0。郑州市高新区本土疫情具有明显的家庭聚集性,疫情防控工作重点在于减少家庭聚集性病例和社区传播。.

Publication types

  • English Abstract

MeSH terms

  • COVID-19*
  • Epidemics*
  • Humans
  • Incidence
  • SARS-CoV-2

Supplementary concepts

  • SARS-CoV-2 variants