Literature DB >> 32987495

Evaluation of prevention and control interventions and its impact on the epidemic of coronavirus disease 2019 in Chongqing and Guizhou Provinces.

Chen Xi Dai1, Jing Yang2, Kai Fa Wang3.   

Abstract

The outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is still severe. In order to optimize the epidemic response strategy, it is urgent to evaluate the implemented prevention and control interventions (PCIs). Based on the reported data of Chongqing and Guizhou Provinces, the phased dynamic models of COVID-19 were constructed, the average intensity of the existing PCIs (from January 25 to March 2) was estimated in these two provinces. The results indicate that both provinces have carried out better control of the infected, but there are still differences in the intensity of control for people who need close observation. Especially in Chongqing, the estimated strength is significantly smaller than that in Guizhou. Furthermore, qualitative evaluations on the epidemic of COVID-19 under different PCIs scenarios suggest that containment strategy is still necessary to ensure the safety of resumption of work and school, and quarantining the city of Wuhan is an important and effective containment strategy to reduce the epidemic in other provinces.

Entities:  

Keywords:  coronavirus disease 2019 ; dynamic model ; prevention and control interventions ; severe acute respiratory syndrome coronavirus 2

Mesh:

Year:  2020        PMID: 32987495     DOI: 10.3934/mbe.2020152

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  4 in total

1.  Modeling COVID-19 Pandemic with Hierarchical Quarantine and Time Delay.

Authors:  Wei Yang
Journal:  Dyn Games Appl       Date:  2021-03-24       Impact factor: 1.075

2.  An exploration of fractal-based prognostic model and comparative analysis for second wave of COVID-19 diffusion.

Authors:  D Easwaramoorthy; A Gowrisankar; A Manimaran; S Nandhini; Lamberto Rondoni; Santo Banerjee
Journal:  Nonlinear Dyn       Date:  2021-09-08       Impact factor: 5.022

3.  A switching dynamic model based on phased COVID-19 data in Chongqing and its evaluation.

Authors:  Jiang Long; Chenxi Dai; Shanshan Kuang; Han Zhao; Dan Liu; Qing Luo; Kaifa Wang
Journal:  Infect Genet Evol       Date:  2022-03-14       Impact factor: 4.393

4.  Estimating the effects of asymptomatic and imported patients on COVID-19 epidemic using mathematical modeling.

Authors:  Tingzhe Sun; Dan Weng
Journal:  J Med Virol       Date:  2020-05-10       Impact factor: 20.693

  4 in total

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