Competing control scenarios in probabilistic SIR epidemics on social-contact networks

DOI10.1007/s10479-022-05031-5zbMATH Open1545.92099MaRDI QIDQ6573341

Jan Broekaert, Davide La Torre, Faizal Hafiz

Publication date: 16 July 2024

Published in: Annals of Operations Research (Search for Journal in Brave)

zbMATH Keywords

competitionvaccinationconfinementco-operationSIR dynamicspay-off matrixsocial-contact graph

Mathematics Subject Classification ID

Epidemiology (92D30) Social networks; opinion dynamics (91D30) Medical epidemiology (92C60)

Cites Work

• Unnamed Item
• Approximated Lax pairs for the reduced order integration of nonlinear evolution equations
• Mean-field-game model of corruption
• Dynamics of infectious diseases and pulse vaccination: Teasing apart the embedded resonance effects
• A deterministic model for gonorrhea in a nonhomogeneous population
• Exploring the interface between hierarchies, multiple objectives and fuzzy sets
• A contribution to the mathematical theory of epidemics.
• Multiperson decision-making based on multiplicative preference relations
• Modeling COVID-19 pandemic with hierarchical quarantine and time delay
• Information spreading on dynamic social networks
• A stochastic SIR model on a graph with epidemiological and population dynamics occurring over the same time scale
• Epidemic dynamics on complex networks
• Non-cooperative games
• The mathematics of infectious diseases
• WHAT IS...Nash Equilibrium?
• Networks
• Clustering for epidemics on networks: A geometric approach
• A multilayer network model of the coevolution of the spread of a disease and competing opinions
• The challenges of modeling and forecasting the spread of COVID-19
• Equilibrium points in n -person games
• Vaccination strategies for a seasonal epidemic: a simple SIR model

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