Exploiting Temporal Network Structures of Human Interaction to Effectively Immunize Populations

@article{Lee2012ExploitingTN,
  title={Exploiting Temporal Network Structures of Human Interaction to Effectively Immunize Populations},
  author={Sungmin Lee and Luis Enrique Correa da Rocha and Fredrik Liljeros and Petter Holme},
  journal={PLoS ONE},
  year={2012},
  volume={7}
}
Decreasing the number of people who must be vaccinated to immunize a community against an infectious disease could both save resources and decrease outbreak sizes. A key to reaching such a lower threshold of immunization is to find and vaccinate people who, through their behavior, are more likely than average to become infected and to spread the disease further. Fortunately, the very behavior that makes these people important to vaccinate can help us to localize them. Earlier studies have shown… 

Figures from this paper

Immunization strategies for epidemic processes in time-varying contact networks

Forecasting important disease spreaders from temporal contact data

TLDR
A method to estimate the future importance of individuals with respect to disease spreading is proposed based on practically obtainable local contact information of individuals and it is found that the method outperforms a benchmark vaccination strategy for a number of empirical networks.

Vaccination strategies on dynamic networks with indirect transmission links and limited contact information

TLDR
This paper presents a novel vaccination strategy which relies on coarse-grained contact information, both direct and indirect, that can be easily and efficiently collected, and achieves comparable performance to the contact-degree based approach and outperforms other existing strategies without requiring over-detailed information.

Cost-efficient vaccination protocols for network epidemiology

TLDR
This work investigates methods to vaccinate contact networks—i.e. removing nodes in such a way that disease spreading is hindered as much as possible—with respect to their cost-efficiency, and finds the so-called acquaintance vaccination is the most cost efficient.

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

TLDR
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.

Predicting Epidemic Risk from Past Temporal Contact Data

TLDR
This work explores to what extent it is possible to use past temporal data of a system’s pattern of contacts to predict the risk of infection of its elements during an emerging outbreak, in absence of updated data.

Computing the vulnerability of time-evolving networks to infections

TLDR
This work analytically compute the epidemic threshold on a generic temporal network, accounting for several different disease features, and provides new methodologies for assessing and predicting the risk associated to an emerging pathogen, both at the population scale and targeting specific hosts.

A survey on modelling of infectious disease spread and control on social contact networks

TLDR
The relevant theories and methodologies of diffusion process that can be used to model the spread of infectious diseases are presented.

Bursts of Vertex Activation and Epidemics in Evolving Networks

TLDR
A stochastic model to generate temporal networks where vertices make instantaneous contacts following heterogeneous inter-event intervals, and may leave and enter the system is proposed, finding that prevalence is generally higher for heterogeneous patterns, except for sufficiently large infection duration and transmission probability.
...

References

SHOWING 1-10 OF 45 REFERENCES

The Impact of Contact Tracing in Clustered Populations

TLDR
It is shown that, when contact network structure is considered in addition to contact tracing, standard “mass action” models are generally inadequate and an improvement to existing pairwise network models is developed, which is used to demonstrate that ceteris paribus, clustering improves the efficacy of contact tracing for a large region of parameter space.

Simulated Epidemics in an Empirical Spatiotemporal Network of 50,185 Sexual Contacts

TLDR
It is found that the temporal correlations of sexual contacts can significantly change simulated outbreaks in a large empirical sexual network, suggesting that temporal structures are needed alongside network topology to fully understand the spread of STIs.

Spatio-temporal waves and targeted vaccination in recurrent epidemic network models

TLDR
The controversial origins of long-term recurrent oscillations believed to be characteristic of diseases that have a period of temporary immunity after infection are explored, focusing on sexually transmitted diseases such as syphilis, where this controversy is currently under review.

A high-resolution human contact network for infectious disease transmission

TLDR
High-resolution data of CPIs during a typical day at an American high school is obtained, permitting the reconstruction of the social network relevant for infectious disease transmission and suggested that contact network data are required to design strategies that are significantly more effective than random immunization.

Superspreading and the effect of individual variation on disease emergence

TLDR
It is shown that contact tracing data from eight directly transmitted diseases shows that the distribution of individual infectiousness around R0 is often highly skewed, and implications for outbreak control are explored, showing that individual-specific control measures outperform population-wide measures.

The dynamic nature of contact networks in infectious disease epidemiology

TLDR
Recent data-driven and process-driven approaches that capture the dynamics of human contact are reviewed, and future challenges for the field are discussed.

Efficient immunization strategies for computer networks and populations.

TLDR
It is shown that the immunization threshold is dramatically reduced with the suggested strategy, for all studied cases, and analytically the critical threshold for complete immunization is studied.

Enhanced vaccine control of epidemics in adaptive networks.

  • L. ShawI. Schwartz
  • Biology
    Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2010
TLDR
It is found that the amount of vaccine resources required to sustain similar rates of extinction are as much as two orders of magnitude lower in adaptive networks than in static networks.

Controlling nosocomial infection based on structure of hospital social networks