SEAIR epidemic spreading model of COVID-19

DOI10.1016/j.chaos.2020.110394zbMath1496.92103arXiv2005.11815OpenAlexW3094737818WikidataQ101456253 ScholiaQ101456253MaRDI QIDQ2128237

Lasko Basnarkov

Publication date: 21 April 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2005.11815

zbMATH Keywords

complex networksepidemic spreadingeigenvector centralityCOVID-19Jacobian matrix eigenvectorsSEAIR epidemic model

Mathematics Subject Classification ID

Epidemiology (92D30) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Related Items (8)

Bistability in deterministic and stochastic SLIAR-type models with imperfect and waning vaccine protection ⋮ Endemic state equivalence between non-Markovian SEIS and Markovian SIS model in complex networks ⋮ An explicit unconditionally stable scheme: application to diffusive COVID-19 epidemic model ⋮ Epidemic spreading in wireless sensor networks with node sleep scheduling ⋮ Influence of human behavior on COVID-19 dynamics based on a reaction-diffusion model ⋮ Predicting the outbreak of epidemics using a network-based approach ⋮ Unnamed Item ⋮ Unnamed Item

Cites Work

• Unnamed Item
• Fundamentals of spreading processes in single and multilayer complex networks
• Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan
• Complex networks: structure and dynamics
• The Mathematics of Infectious Diseases
• Emergence of Scaling in Random Networks
• Mathematical Models in Epidemiology
• Collective dynamics of ‘small-world’ networks

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