Literature DB >> 32213270

[Epidemiological analysis on 1 052 cases of COVID-19 in epidemic clusters].

H Gan1, Y Zhang1, M Yuan2, X Y Wu1, Z R Liu3, M Liu1, J B Wu3, S J Xu1, L Gong3, H L Xu1, F B Tao1.   

Abstract

Objective: To understand the epidemiological characteristics of the cases of COVID-19 epidemic clusters, and explore the influence of family factors and social factors such as group activities on the spread of the disease.
Methods: The data of cases of COVID-19 epidemic clusters from 19 January, 2020 to 25 February, 2020 were collected from the official platforms of 36 cities in 6 provinces in China. Descriptive statistical methods, χ(2) test and curve fitting were used to analyze the epidemiological characteristics of the clustered cases.
Results: By 25 February, 2020, the data of 1 052 cases in 366 epidemic clusters were collected. In these clustered cases, 86.9%(914/1 050) occurred in families. Among the 1 046 cases with gender information, 513 were males (49.0%) and 533 were females (51.0%). The cases were mainly young adults between 18 and 59 years old, accounting for 68.5% (711/1 038). In the 366 epidemic clusters , the clusters in which the first confirmed cases with the history of sojourn in Wuhan or Hubei accounted for 47.0%(172/366). From 19 January to 3 February, 2020, the first confirmed cases with Wuhan or Hubei sojourn history accounted for 66.5%. From 4 to 25 February, the first confirmed cases who had Wuhan or Hubei sojourn history accounted for only 18.2%. The median of interval between the first generation case onset and the second generation case onset was 5 (2-8) days. The median of onset- diagnosis interval of the initial cases was 6 (3-9) days, and the median of onset-diagnosis interval of the secondary cases was 5 (3-8) days. Conclusions: Epidemic clusters of COVID-19 were common in many cities outside Wuhan and Hubei. Close contact in family was one of the main causes for the spread of household transmission of the virus. After 4 February, the epidemic clusters were mainly caused by the first generation or second generation cases in local areas, and the time for diagnosis became shorter.

Entities:  

Keywords:  COVID-19; Clustering; Epidemiology

Mesh:

Year:  2020        PMID: 32213270     DOI: 10.3760/cma.j.cn112338-20200301-00223

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  7 in total

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Review 3.  Endourology (Lithiasis). Management, surgical considerations and follow-up of patients in the COVID-19 era.

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Authors:  A Bak; M A Mugglestone; N V Ratnaraja; J A Wilson; L Rivett; S M Stoneham; J Bostock; S E Moses; J R Price; M Weinbren; H P Loveday; J Islam; A P R Wilson
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5.  SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS-2 (SARS-COV-2) INFECTION: AN EPIDEMIOLOGICAL REVIEW.

Authors:  D Y Buowari; H D Ogundipe
Journal:  Ann Ib Postgrad Med       Date:  2021-06

6.  Transmission of COVID-19 and its Determinants among Close Contacts of COVID-19 Patients Running title.

Authors:  Rayhaneh Jashaninejad; Amin Doosti-Irani; Manoochehr Karami; Fariba Keramat; Mohammad Mirzaei
Journal:  J Res Health Sci       Date:  2021-04-25

7.  A novel IDEA: The impact of serial interval on a modified-Incidence Decay and Exponential Adjustment (m-IDEA) model for projections of daily COVID-19 cases.

Authors:  Ben A Smith
Journal:  Infect Dis Model       Date:  2020-05-30
  7 in total

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