Predicting epidemic outbreak from individual features of the spreaders

@article{Silva2012PredictingEO,
  title={Predicting epidemic outbreak from individual features of the spreaders},
  author={Renato Aparecido Pimentel da Silva and Matheus Palhares Viana and Luciano da Fontoura Costa},
  journal={ArXiv},
  year={2012},
  volume={abs/1202.0024}
}
Knowing which individuals can be more efficient in spreading a pathogen throughout a determinate environment is a fundamental question in disease control. Indeed, over recent years the spread of epidemic diseases and its relationship with the topology of the involved system have been a recurrent topic in complex network theory, taking into account both network models and real-world data. In this paper we explore possible correlations between the heterogeneous spread of an epidemic disease… Expand
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References

SHOWING 1-10 OF 34 REFERENCES
Epidemic spreading on weighted contact networks
TLDR
An improved threshold is found in allowing a spectrum of contact within a contact network and this expanded contact network also allows for asymmetric contact such as a mother caring for her child. Expand
Networks and the Epidemiology of Infectious Disease
TLDR
A personalised overview into the areas of network epidemiology that have seen the greatest progress in recent years or have the greatest potential to provide novel insights is provided, focusing on the interplay between network theory and epidemiology. Expand
Demographic structure and pathogen dynamics on the network of livestock movements in Great Britain
TLDR
A percolation threshold is identified in the structure of the livestock network, indicating that, while there is little possibility of a national epidemic of FMD in winter when the catastrophic 2001 epidemic began, there remains a risk in late summer or early autumn. Expand
Epidemic spreading in scale-free networks.
TLDR
A dynamical model for the spreading of infections on scale-free networks is defined, finding the absence of an epidemic threshold and its associated critical behavior and this new epidemiological framework rationalizes data of computer viruses and could help in the understanding of other spreading phenomena on communication and social networks. Expand
Epidemics and percolation in small-world networks.
  • C. Moore, M. Newman
  • Mathematics, Medicine
  • Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
  • 2000
TLDR
The resulting models display epidemic behavior when the infection or transmission probability rises above the threshold for site or bond percolation on the network, and are given exact solutions for the position of this threshold in a variety of cases. Expand
Epidemic spread in weighted scale-free networks
In this letter, we investigate the detailed epidemic spreading process in scale-free networks with links' weights that denote familiarity between two individuals and find that spreading velocityExpand
Spatial Networks
TLDR
This work will expose thoroughly the current state of the understanding of how the spatial constraints affect the structure and properties of these networks, and review the most recent empirical observations and the most important models of spatial networks. Expand
Halting viruses in scale-free networks.
  • Z. Dezső, A. Barabasi
  • Physics, Biology
  • Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2002
TLDR
It is demonstrated that policies that discriminate between the nodes, curing mostly the highly connected nodes, can restore a finite epidemic threshold and potentially eradicate a virus. Expand
Reaction–diffusion processes and metapopulation models in heterogeneous networks
TLDR
This work lays out a theoretical and computational microscopic framework for the study of a wide range of realistic metapopulation and agent-based models that include the complex features of real-world networks. Expand
A Weighted Configuration Model and Inhomogeneous Epidemics
A random graph model with prescribed degree distribution and degree dependent edge weights is introduced. Each vertex is independently equipped with a random number of half-edges and each half-edgeExpand
...
1
2
3
4
...