Literature DB >> 33297616

[Epidemic dynamic model based evaluation of effectiveness of prevention and control strategies for COVID-19 in Ningbo].

H Hong1, H B Shi1, H B Jiang1, X M Gu1, Y Chen1, K Q Ding1, G Z Xu1.   

Abstract

Objective: To evaluate effectiveness of prevention and control strategies for COVID-19 in Ningbo by using an epidemic dynamic model.
Methods: The incidence data and epidemic information of COVID-19 reported in Ningbo as of 9 March, 2020 were collected, and based on the implementation of prevention and control strategies, we developed a SEIR epidemic dynamics model. The basic and real-time reproduction numbers were calculated to evaluate effectiveness of prevention and control.
Results: A total of 157 cases of COVID-19 were confirmed, without death, in Ningbo. The proportion of severe cases was 12.1%. The mean incubation period was estimated to be (5.7±2.9) days. The mean interval from illness onset to diagnosis was (5.4±3.7) days. The mean duration from diagnosis to hospital discharge was (16.6±6.5) days. A total of 105 339 contacts had been under medical observation. The infection rates in contacts with home quarantine and centralized quarantine were 0.1% and 0.3%, respectively. In the confirmed cases, those who had been under medical observation before diagnoses accounted for 63.1%. The basic reproduction number was estimated to be 4.8. With the strengthening of prevention and control measures, real-time reproduction number showed a gradual downward trend, dropping to below 1.0 on 4 February, and then continued to drop to 0.2 in mid-February.
Conclusion: The effectiveness of the prevention and control measures for COVID-19 in Ningbo can be evaluated by using epidemic dynamic model to provide scientific evidence for the development of the prevention and control strategies.

Entities:  

Keywords:  Basic reproduction number; COVID-19; Dynamic model; Effectiveness of prevention and control

Mesh:

Year:  2020        PMID: 33297616     DOI: 10.3760/cma.j.cn112338-20200311-00313

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


  2 in total

1.  Incubation Period of COVID-19 Caused by Unique SARS-CoV-2 Strains: A Systematic Review and Meta-analysis.

Authors:  Yu Wu; Liangyu Kang; Zirui Guo; Jue Liu; Min Liu; Wannian Liang
Journal:  JAMA Netw Open       Date:  2022-08-01

2.  Epidemic spread simulation in an area with a high-density crowd using a SEIR-based model.

Authors:  Jibiao Zhou; Sheng Dong; Changxi Ma; Yao Wu; Xiao Qiu
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

  2 in total

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