Literature DB >> 33435631

Retrospect: The Outbreak Evaluation of COVID-19 in Wuhan District of China.

Yimin Zhou1,2, Zuguo Chen1,3, Xiangdong Wu1,2, Zengwu Tian1,2, Lingjian Ye1,2, Leyi Zheng1,2.   

Abstract

There were 27 novel coronavirus pneumonia cases found in Wuhan, China in December 2019, named as 2019-nCoV temporarily and COVID-19 formally by the World Health Organization (WHO) on the 11 February 2020. In December 2019 and January 2020, COVID-19 has spread on a large scale among the population, which brought terrible disaster to the life and property of the Chinese people. In this paper, we analyze the features and pattern of the virus transmission. Considering the influence of indirect transmission, a conscious-based Susceptible-Exposed-Infective-Recovered (SEIR) (C-SEIR) model is proposed, and the difference equation is used to establish the model. We simulated the C-SEIR model and key important parameters. The results show that (1) increasing people's awareness of the virus can effectively reduce the spread of the virus; (2) as the capability and possibility of indirect infection increases, the proportion of people being infected will also increase; (3) the increased cure rate can effectively reduce the number of infected people. Then, the virus transmission can be modelled and used for the inflexion and extinction period of pandemic development so as to provide theoretical support for the Chinese government in the decision-making of pandemic prevention and recovery of economic production. Further, this study has demonstrated the effectiveness of the prevention measures taken by the Chinese government such as multi-level administrative district isolation and public health awareness.

Entities:  

Keywords:  C-SEIR; COVID-19; infection data; prevention measures

Year:  2021        PMID: 33435631      PMCID: PMC7827087          DOI: 10.3390/healthcare9010061

Source DB:  PubMed          Journal:  Healthcare (Basel)        ISSN: 2227-9032


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2.  SEIR modeling of the COVID-19 and its dynamics.

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3.  [Fitting and forecasting the trend of COVID-19 by SEIR(+CAQ) dynamic model].

Authors:  Y Y Wei; Z Z Lu; Z C Du; Z J Zhang; Y Zhao; S P Shen; B Wang; Y T Hao; F Chen
Journal:  Zhonghua Liu Xing Bing Xue Za Zhi       Date:  2020-04-10

4.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.

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5.  Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan.

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6.  Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions.

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Journal:  J Thorac Dis       Date:  2020-03       Impact factor: 3.005

10.  Risk factors for transmission of Middle East respiratory syndrome coronavirus infection during the 2015 outbreak in South Korea.

Authors:  Seung Woo Kim; Jung Wan Park; Hee-Dong Jung; Jeong-Sun Yang; Yong-Shik Park; Changhwan Lee; Kyung Min Kim; Keon-Joo Lee; Donghyok Kwon; Young Joo Hur; Bo Youl Choi; Moran Ki
Journal:  Clin Infect Dis       Date:  2016-12-10       Impact factor: 9.079

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  2 in total

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2.  The Relationship Between Enterprise Financial Risk and R&D Investment Under the Influence of the COVID-19.

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  2 in total

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