Mathematical modeling and simulation for COVID-19 with mutant and quarantined strategy

Yu, Zhenhua; Zhang, Jingmeng; Zhang, Yun; Cong, Xuya; Li, Xiaobo; Mostafa, Almetwally M.

doi:10.1016/j.chaos.2024.114656

Chaos, Solitons & Fractals

2024

DOI: 10.1016/j.chaos.2024.114656

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Mathematical modeling and simulation for COVID-19 with mutant and quarantined strategy

Zhenhua Yu,

Jingmeng Zhang,

Yun Zhang

et al.

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2024

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Cited by 3 publications

References 39 publications

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Dynamic modeling and simulation of double-rumor spreaders in online social networks with IS2TR model

Yu,

Zi,

Zhang

et al. 2024

Nonlinear Dyn

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Dynamic modeling and simulation of double-rumor spreaders in online social networks with IS2TR model

Yu,

Zi,

Zhang

et al. 2024

Nonlinear Dyn

View full text Add to dashboard Cite

IRLTS rumor propagation model considering the influence of lurking psychology and the truth of rumors

Yu,

Wu,

Zhang

et al. 2024

Nonlinear Dyn

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Impact of community structure on the spread of epidemics on time-varying multiplex networks

Feng,

Zhang,

Xia

et al. 2024

Chaos: An Interdisciplinary Journal of Nonlinear Science

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Community structure plays a crucial role in realistic networks and different communities can be created by groups of interest and activity events, and exploring the impact of community properties on collective dynamics is an active topic in the field of network science. Here, we propose a new coupled model with different time scales for online social networks and offline epidemic spreading networks, in which community structure is added into online social networks to investigate its role in the interacting dynamics between information diffusion and epidemic spreading. We obtain the analytical equations of epidemic threshold by MMC (Microscopic Markov Chain) method and conduct a large quantities of numerical simulations using Monte Carlo simulations in order to verify the accuracy of the MMC method, and more valuable insights are also obtained. The results indicate that an increase in the probability of the mobility of an individual can delay the spread of epidemic-related information in the network, as well as delaying the time of the peak of the infection density in the network. However, an increase in the contact ability of mobile individuals produces a facilitating effect on the spread of epidemics. Finally, it is also found that the stronger the acceptance of an individual to information coming from a different community, the lower the infection density in the network, which suggests that it has an inhibitory effect on the disease spreading.

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Mathematical modeling and simulation for COVID-19 with mutant and quarantined strategy

Cited by 3 publications

References 39 publications

Dynamic modeling and simulation of double-rumor spreaders in online social networks with IS2TR model

Dynamic modeling and simulation of double-rumor spreaders in online social networks with IS2TR model

IRLTS rumor propagation model considering the influence of lurking psychology and the truth of rumors

Impact of community structure on the spread of epidemics on time-varying multiplex networks

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