ArticleChaos, solitons, and fractals2021
SEAIR Epidemic spreading model of COVID-19.
Article in Chaos, solitons, and fractals, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Model-free prognostication of non-linear time series.PloS one · 2026Article
- A quantum mechanics-based framework for infectious disease modeling.Scientific reports · 2025Article
- Co-evolution model of traffic travel and disease transmission under limited resources.Scientific reports · 2025Article
- Evolutionary game analysis of multiple subjects in the management of major public health emergencies.Heliyon · 2024Article
- Identifying influential nodes based on the disassortativity and community structure of complex network.Scientific reports · 2024Article
- Effectiveness of feedback control and the trade-off between death by COVID-19 and costs of countermeasures.Health care management science · 2023Article
- Influence of Human Behavior on COVID-19 Dynamics Based on a Reaction-Diffusion Model.Qualitative theory of dynamical systems · 2023Article
- Application of a time-delay SIR model with vaccination in COVID-19 prediction and its optimal control strategy.Nonlinear dynamics · 2023Article
- Endemic state equivalence between non-Markovian SEIS and Markovian SIS model in complex networks.Physica A · 2022Article
- Estimating unconfirmed COVID-19 infection cases and multiple waves of pandemic progression with consideration of testing capacity and non-pharmaceutical interventions: A dynamic spreading model.Information sciences · 2022Article
- Non-Markovian SIR epidemic spreading model of COVID-19.Chaos, solitons, and fractals · 2022Article
- Bistability in deterministic and stochastic SLIAR-type models with imperfect and waning vaccine protection.Journal of mathematical biology · 2022Article
- A Novel Approach on Deep Learning-Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs' Effect over COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Data-assimilation and state estimation for contact-based spreading processes using the ensemble kalman filter: Application to COVID-19.Chaos, solitons, and fractals · 2022Article
- Dynamical analysis of novel COVID-19 epidemic model with non-monotonic incidence function.Journal of public affairs · 2021Article
- Comparative Study of COVID-19 Pandemic Progressions in 175 Regions in Australia, Canada, Italy, Japan, Spain, U.K. and USA Using a Novel Model That Considers Testing Capacity and Deficiency in Confirming Infected Cases.IEEE journal of biomedical and health informatics · 2021Article
- Predicting the dynamical behavior of COVID-19 epidemic and the effect of control strategies.Chaos, solitons, and fractals · 2021Article
- Development of Explicit Schemes for Diffusive SEAIR COVID-19 Epidemic Spreading Model: An Application to Computational Biology.Iranian journal of science and technology. Transaction A, Science · 2021Article
- Network centrality for the identification of biomarkers in respondent-driven sampling datasets.PloS one · 2021Article
- An explicit unconditionally stable scheme: application to diffusive Covid-19 epidemic model.Advances in difference equations · 2021Article
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1 author.
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Abstract
We study Susceptible-Exposed-Asymptomatic-Infectious-Recovered (SEAIR) epidemic spreading model of COVID-19. It captures two important characteristics of the infectiousness of COVID-19: delayed start and its appearance before onset of symptoms, or even with total absence of them. The model is theoretically analyzed in continuous-time compartmental version and discrete-time version on random regular graphs and complex networks. We show analytically that there are relationships between the epidemic thresholds and the equations for the susceptible populations at the endemic equilibrium in all three versions, which hold when the epidemic is weak. We provide theoretical arguments that eigenvector centrality of a node approximately determines its risk to become infected.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.