# Networks and epidemic models

@article{Keeling2005NetworksAE, title={Networks and epidemic models}, author={Matt. J. Keeling and Ken T. D. Eames}, journal={Journal of The Royal Society Interface}, year={2005}, volume={2}, pages={295 - 307} }

Networks and the epidemiology of directly transmitted infectious diseases are fundamentally linked. The foundations of epidemiology and early epidemiological models were based on population wide random-mixing, but in practice each individual has a finite set of contacts to whom they can pass infection; the ensemble of all such contacts forms a ‘mixing network’. Knowledge of the structure of the network allows models to compute the epidemic dynamics at the population scale from the individual…

## 1,516 Citations

Information content of contact-pattern representations and predictability of epidemic outbreaks

- Computer ScienceScientific reports
- 2015

This paper studies both outbreak sizes from unknown sources, and from known states of ongoing outbreaks, using empirical proximity data to investigate the effect of successive inclusions of more information in the temporal network structure of the data sets.

The intrinsic vulnerability of networks to epidemics

- Computer Science
- 2018

It is shown how network structure can be used to accurately assess the relative, intrinsic vulnerability of networks towards a specific pathogen, even when those have limited topological variability.

The intrinsic vulnerability of networks to epidemics

- Computer ScienceEcological Modelling
- 2018

Network inference from population-level observation of epidemics

- Computer ScienceScientific reports
- 2020

This work uses extensive simulations over Regular, Erdős–Rényi and Barabási–Albert networks to build network class-specific priors and uses Bayesian model selection to recover the most likely underlying network class, based only on a single realisation of the epidemic.

Epidemiologically Optimal Static Networks from Temporal Network Data

- Computer SciencePLoS Comput. Biol.
- 2013

This paper investigates conceptually simple methods to construct static graphs for network epidemiology from temporal contact data, and evaluates these methods on empirical and synthetic model data.

Mean-field modeling approach for understanding epidemic dynamics in interconnected networks

- Computer Science
- 2015

Small-World Network Models for Epidemics: Tuning between Order and Randomness

- Biology
- 2020

The influence of contact networks on epidemics is looked into by building up network models for a past epidemic, and comparing the results with those of compartmental models.

Individual-based approach to epidemic processes on arbitrary dynamic contact networks

- Computer ScienceScientific reports
- 2016

An individual-based approximation for the susceptible-infected-recovered epidemic model applicable to arbitrary dynamic networks is developed and provides, at the individual-level, the probability flow over time associated with the infection dynamics.

Effect of Small-World Networks on Epidemic Propagation and Intervention

- Computer Science
- 2009

Among the four intervention strategies tested, only one strategy—the targeted vaccination—proves to be effective for containing epidemics, a finding supported by a simulation of the severe acute respiratory syndrome epidemic in a large-scale realistic social contact network in Portland, OR.

Effects of contact network structure on epidemic transmission trees: implications for data required to estimate network structure

- MathematicsStatistics in medicine
- 2018

There is potential to estimate contact network features from transmission trees or pure epidemic data, particularly for diseases with high transmissibility or for which the relevant contact network is of low mean degree.

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