ArticleNonlinear dynamics2022
Modeling for COVID-19 with the contacting distance.
Article in Nonlinear dynamics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Reduction of acute respiratory infections in day-care by non-pharmaceutical interventions: a narrative review.Frontiers in public health · 2024Review
- A stochastic agent-based model to evaluate COVID-19 transmission influenced by human mobility.Nonlinear dynamics · 2023Article
- Estimation and sensitivity analysis of a COVID-19 model considering the use of face mask and vaccination.Scientific reports · 2023Article
- Coronavirus disease 2019 epidemic prediction in Shanghai under the "dynamic zero-COVID policy" using time-dependent SEAIQR model.Journal of biosafety and biosecurity · 2022Article
- Social distancing as a public-good dilemma for socio-economic cost: An evolutionary game approach.Heliyon · 2022Article
- A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning.Computers in biology and medicine · 2022Article
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Authors and funding
7 authors.
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Abstract
COVID-19 is a public health emergency for human beings and brings some very harmful consequences in social and economic fields. In order to model COVID-19 and develop the effective control measures, this paper proposes an SEIR-type epidemic model with the contacting distance between the healthy individuals and the asymptomatic or symptomatic infected individuals, and the immigration rate of the healthy individuals since the contacting distance and the immigration rate are two critical factors which determine the transmission of COVID-19. Firstly, the threshold values of the contacting distance and the immigration rate are obtained to analyze the presented model. Secondly, based on the data from January 10, 2020, to March 18, 2020, for Wuhan city, all parameters are estimated. Finally, based on the estimated parameters, the sensitivity analysis and the numerical study are conducted. The results show that the contacting distance and the immigration rate play an important role in controlling COVID-19. Meanwhile, the extinct lag decreases as the contacting distance increases and/or the immigration rate decreases. Our study could give some reasonable suggestions for the health officials and the public and provide a theoretical issue for globally controlling the COVID-19 pandemic.
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