Mean field at distance one

@inproceedings{Leung2017MeanFA,
  title={Mean field at distance one},
  author={Ka Yin Leung and Mirjam E E Kretzschmar and Odo Diekmann},
  year={2017}
}
To be able to understand how infectious diseases spread on networks, it is important to understand the network structure itself in the absence of infection. In this text we consider dynamic network models that are inspired by the (static) configuration network. The networks are described by population-level averages such as the fraction of the population with k partners, k = 0, 1, 2, … This means that the bookkeeping contains information about individuals and their partners, but no information… 
Stochastic epidemics on random networks
This thesis considers stochastic epidemic models for the spread of epidemics in structured populations. The asymptotic behaviour of the models is analysed by using branching process approximations.

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