SIR dynamics in random networks with heterogeneous connectivity.
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Epidemic spread on weighted networksMathematical models to characterize early epidemic growth: A reviewMeasuring the potential of individual airports for pandemic spread over the world airline network.Modelling and analysis of influenza A (H1N1) on networks.EpiFire: An open source C++ library and application for contact network epidemiology.Untangling the Interplay between Epidemic Spread and Transmission Network Dynamics.Effects of heterogeneous and clustered contact patterns on infectious disease dynamics.Inferring epidemic contact structure from phylogenetic trees.Contact heterogeneity and phylodynamics: how contact networks shape parasite evolutionary treesTemporal percolation of the susceptible network in an epidemic spreading.Understanding the influence of all nodes in a networkNetworks and the epidemiology of infectious diseaseEpidemic spread in networks: Existing methods and current challengesIncorporating disease and population structure into models of SIR disease in contact networksEpidemics on networks with large initial conditions or changing structure.Multiple Lattice Model for Influenza Spreading.Edge-based compartmental modelling for infectious disease spread.Graph fission in an evolving voter modelPredicting the extinction of Ebola spreading in Liberia due to mitigation strategiesDisease Surveillance on Complex Social Networks.Systematic Approximations to Susceptible-Infectious-Susceptible Dynamics on Networks.Model hierarchies in edge-based compartmental modeling for infectious disease spread.A generating function approach to HIV transmission with dynamic contact rates.Coalescent inference for infectious disease: meta-analysis of hepatitis C.Nine challenges for deterministic epidemic models.Reconstructing contact network parameters from viral phylogenies.Approximating optimal controls for networks when there are combinations of population-level and targeted measures available: chlamydia infection as a case-study.Finding the probability of infection in an SIR network is NP-HardSpread of competing viruses on heterogeneous networks.Modeling Heterogeneity in Direct Infectious Disease Transmission in a Compartmental Model.Mean-field models for non-Markovian epidemics on networks.The relationships between message passing, pairwise, Kermack-McKendrick and stochastic SIR epidemic models.Heterogeneous network epidemics: real-time growth, variance and extinction of infection.Stochastic epidemic dynamics on extremely heterogeneous networks.Elementary proof of convergence to the mean-field model for the SIR process.Set-membership estimations for the evolution of infectious diseases in heterogeneous populations.Near-critical SIR epidemic on a random graph with given degrees.Prevention of infectious diseases by public vaccination and individual protection.Disease invasion risk in a growing population.Beyond clustering: mean-field dynamics on networks with arbitrary subgraph composition.
P2860
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P2860
SIR dynamics in random networks with heterogeneous connectivity.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
SIR dynamics in random networks with heterogeneous connectivity.
@en
SIR dynamics in random networks with heterogeneous connectivity.
@nl
type
label
SIR dynamics in random networks with heterogeneous connectivity.
@en
SIR dynamics in random networks with heterogeneous connectivity.
@nl
prefLabel
SIR dynamics in random networks with heterogeneous connectivity.
@en
SIR dynamics in random networks with heterogeneous connectivity.
@nl
P1476
SIR dynamics in random networks with heterogeneous connectivity
@en
P2093
P2888
P304
P356
10.1007/S00285-007-0116-4
P50
P577
2007-08-01T00:00:00Z