Networks and epidemic models

By M. Keeling, Ken T. D. Eames. Journal of the Royal Society Interface, 2005

1,967 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Modeling and Simulation, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/9a84002359c777dc941e1465f148abe43cb3331f

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Citations in the corpus

The social dynamics of southern resident killer whales and conservation implications for this endangered population (2009, background): “…transmission (e.g. Whiten 2000; Rendell & Whitehead 2001), learned behaviours (Giraldeau et al. 1994) and disease (Altizer et al. 2003; Cross et al. 2004; Keeling & Eames 2005), but also shapes patterns of gene flow and opportunities for cooperative behaviour and reciprocity d by Elsevier Ltd.”
Modern temporal network theory: a colloquium (2015, background): “[97] is our favorite introduction to the classic theory of epidemiology; Keeling and Eames [135] is an excellent introduction to static networks as models of contact structure; and Ref.”
When individual behaviour matters: homogeneous and network models in epidemiology (2007, background): “…t, where a is the number of individuals with which a susceptible individual has effective contact; i t Z I ðtÞ=N is the proportion of contacts that are infectious; and t is the per contact rate at which disease is transmitted between an infectious and susceptible individual (Keeling & Eames 2005).”
Systems Science Methods in Public Health (2012, positive): “This moved the fundamental S-I-R (susceptible—infectious—recovered) disease model away from a pure population-level model by incorporating local social network information into the basic model (76).”
Mathematical models to characterize early epidemic growth: A Review (2016, background): “In particular, individual-based networks are useful to capture two important mechanisms that are expected to slow down the initial growth dynamics: a) local susceptible depletion, in which the pool of susceptibles available to infectious individuals diminishes even at low rates of prevalence [71]; a”
Statistical physics of vaccination (2016, background): “Motivated by this fact, already in 2009 Eames used a multilayer network setup, where one network supports the opinion formation among parents (i.e. parent network), while the network of children allows infection transmission among offspring (i.e. offspring network) [613].”
Mathematical modeling of infectious disease dynamics (2013, background): “[121] [122] [123] One of the most critical problems in epidemics concerns the dynamic effects of the contact network heterogeneity.”
Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence (2008, methodology): “One canonical model used as a candidate for network equivalence is the original Watts-Strogatz (WS) model, which has been used as a substrate for studying dynamics in the diverse fields of ecology [8], economics [9,10], epidemiology [11,12], and neuroscience [13].”
"Herd immunity": a rough guide. (2011, background): “This nonrandom mixing can in theory be described through the use of network models that include more detail information about who mixes with whom [26].”
The Anatomy of a Scientific Rumor (2013, background): “[28] Keeling, M.”