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[Epidemiological investigation on the local epidemic situation in Zhengzhou High-Tech Zone caused by SARS-CoV-2 Delta variant].
Jin, Y F; Li, Y; Li, J W; Yan, Z Y; Chen, S Y; Lou, X M; Fan, K; Wu, F; Cao, Y Y; Hu, F Y; Chen, L; Xie, Y Q; Cheng, C; Yang, H Y; Duan, G C.
  • Jin YF; Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Li Y; Zhengzhou High-tech Zone Center for Disease Control and Prevention,Zhengzhou 450001, China.
  • Li JW; Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Yan ZY; Zhengzhou High-tech Zone Center for Disease Control and Prevention,Zhengzhou 450001, China.
  • Chen SY; Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Lou XM; Department of Maternal, Child and Adolescent Health, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Fan K; Zhengzhou High-tech Zone Center for Disease Control and Prevention,Zhengzhou 450001, China.
  • Wu F; Zhengzhou High-tech Zone Center for Disease Control and Prevention,Zhengzhou 450001, China.
  • Cao YY; Zhengzhou High-tech Zone Center for Disease Control and Prevention,Zhengzhou 450001, China.
  • Hu FY; Zhengzhou High-tech Zone Center for Disease Control and Prevention,Zhengzhou 450001, China.
  • Chen L; Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Xie YQ; Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Cheng C; Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Yang HY; Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Duan GC; Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Zhonghua Yu Fang Yi Xue Za Zhi ; 57(1): 43-47, 2023 Jan 06.
Article in Chinese | MEDLINE | ID: covidwho-2241864
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Observational study Topics: Variants Limits: Humans Language: Chinese Journal: Zhonghua Yu Fang Yi Xue Za Zhi Year: 2023 Document Type: Article Affiliation country: Cma.j.cn112150-20220315-00247

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Observational study Topics: Variants Limits: Humans Language: Chinese Journal: Zhonghua Yu Fang Yi Xue Za Zhi Year: 2023 Document Type: Article Affiliation country: Cma.j.cn112150-20220315-00247