Compact pairwise models for epidemics with multiple infectious stages on degree heterogeneous and clustered networks

DOI10.1016/j.jtbi.2016.07.015zbMath1344.92179arXiv1602.05227OpenAlexW2280478844WikidataQ40611317 ScholiaQ40611317MaRDI QIDQ309249

Istvan Z. Kiss, Konstantin B. Blyuss, Neil Sherborne

Publication date: 7 September 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1602.05227

zbMATH Keywords

clusteringmoment closuresnon-Markovian recoverypairwise approximation

Mathematics Subject Classification ID

Epidemiology (92D30) Social networks; opinion dynamics (91D30) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (2)

Pairwise approximation for SIR -type network epidemics with non-Markovian recovery ⋮ Global stability of multi‐group SAIRS epidemic models

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Modelling disease spread through random and regular contacts in clustered populations
• Exact and approximate moment closures for non-Markovian network epidemics
• Real-time growth rate for general stochastic SIR epidemics on unclustered networks
• Dynamics of multi-stage infections on networks
• Beyond clustering: mean-field dynamics on networks with arbitrary subgraph composition
• The asymptotic number of labeled graphs with given degree sequences
• Contact switching as a control strategy for epidemic outbreaks
• Epidemic prediction and control in clustered populations
• Higher-order structure and epidemic dynamics in clustered networks
• From the Cover: The structure of scientific collaboration networks
• Epidemics with temporary link deactivation in scale-free networks
• Large-scale properties of clustered networks: implications for disease dynamics
• GENERALIZED NETWORK CLUSTERING AND ITS DYNAMICAL IMPLICATIONS
• The estimation of latent and infectious periods
• A deterministic epidemic model taking account of repeated contacts between the same individuals
• Dynamic Control of Modern, Network-Based Epidemic Models
• Modelling approaches for simple dynamic networks and applications to disease transmission models
• Collective dynamics of ‘small-world’ networks
• Probability

This page was built for publication: Compact pairwise models for epidemics with multiple infectious stages on degree heterogeneous and clustered networks