Immunization strategies for epidemic processes in time-varying contact networks

Michele Starnini, Anna Machens, Ciro Cattuto, Alain Barrat Romualdo Pastor-Satorras, J. Theor. Biol. 337:89-100 (2013)

Spreading processes represent a very efficient tool to investigate the structural properties of networks and the relative importance of their constituents, and have been widely used to this aim in static networks. Here we consider simple disease spreading processes on empirical time-varying networks of contacts between individuals, and compare the effect of several immunization strategies on these processes. An immunization strategy is defined as the choice of a set of nodes (individuals) who cannot catch nor transmit the disease. This choice is performed according to a certain ranking of the nodes of the contact network. We consider various ranking strategies, focusing in particular on the role of the training window during which the nodes’ properties are measured in the time-varying network: longer training windows correspond to a larger amount of information collected and could be expected to result in better performances of the immunization strategies. We find instead an unexpected saturation in the efficiency of strategies based on nodes’ characteristics when the length of the training window is increased, showing that a limited amount of information on the contact patterns is sufficient to design efficient immunization strategies. This finding is balanced by the large variations of the contact patterns, which strongly alter the importance of nodes from one period to the next and therefore significantly limit the efficiency of any strategy based on an importance ranking of nodes. We also observe that the efficiency of strategies that include an element of randomness and are based on temporally local information do not perform as well but are largely independent on the amount of information available.


URL: http://www.sciencedirect.com/science/article/pii/S0022519313003251#

PDF: http://arxiv.org/pdf/1305.2357.pdf

BIBTEX:

@article{Starnini201389,
title = "Immunization strategies for epidemic processes in time-varying contact networks ",
journal = "Journal of Theoretical Biology ",
volume = "337",
number = "0",
pages = "89 - 100",
year = "2013",
note = "",
issn = "0022-5193",
doi = "http://dx.doi.org/10.1016/j.jtbi.2013.07.004",
url = "http://www.sciencedirect.com/science/article/pii/S0022519313003251",
author = "Michele Starnini and Anna Machens and Ciro Cattuto and Alain Barrat and Romualdo Pastor-Satorras",
}

PUBLICATIONS

Recalibrating disease parameters for increasing realism in modeling epidemics in closed settings
School closure policies at municipality level for mitigating influenza spread: a model-based evaluation
Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: method comparison and participants’ attitudes
Impact of spatially constrained sampling of temporal contact networks on the evaluation of the epidemic risk
How to Estimate Epidemic Risk from Incomplete Contact Diaries Data?
Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors
Epidemic risk from friendship network data: an equivalence with a non-uniform sampling of contact networks
Compensating for population sampling in simulations of epidemic spread on temporal contact networks
Enhancing the evaluation of pathogen transmission risk in a hospital by merging hand-hygiene compliance and contact data: a proof-of-concept study
Contact patterns in a high school: a comparison between data collected using wearable sensors, contact diaries and friendship surveys
Data on face-to-face contacts in an office building suggest a low-cost vaccination strategy based on community linkers
Is Web Content a Good Proxy for Real-Life Interaction? A Case Study Considering Online and Offline Interactions of Computer Scientists
Combining High-Resolution Contact Data with Virological Data to Investigate Influenza Transmission in a Tertiary Care Hospital
Mental health and social networks in early adolescence: A dynamic study of objectively-measured social interaction behaviors
Mitigation of infectious disease at school: targeted class closure vs school closure
How memory generates heterogeneous dynamics in temporal networks
Contact patterns among high school students
Detecting the Community Structure and Activity Patterns of Temporal Networks: A Non-Negative Tensor Factorization Approach
Measuring contact patterns with wearable sensors: methods, data characteristics and applications to data-driven simulations of infectious diseases
Bootstrapping under constraint for the assessment of group behavior in human contact networks
Immunization strategies for epidemic processes in time-varying contact networks
Activity clocks: spreading dynamics on temporal networks of human contact
Gender homophily from spatial behavior in a primary school: a sociometric study
Estimating Potential Infection Transmission Routes in Hospital Wards Using Wearable Proximity Sensors
Empirical temporal networks of face-to-face human interactions
New Insights and Methods for Predicting Face-To-Face Contacts
Time-varying Social Networks in a Graph Database – A Neo4j Use Case
Temporal networks of face-to-face human interactions
An infectious disease model on empirical networks of human contact: bridging the gap between dynamic network data and contact matrices
Fingerprinting temporal networks of close-range human proximity
Digital Epidemiology
Random Walks on Temporal Networks
The making of Sixty-Nine Days Of Close Encounters At The Science Gallery.
High-Resolution Measurements of Face-to-Face Contact Patterns in a Primary School.
Simulation of an SEIR Infectious Disease Model on the Dynamic Contact Network of Conference Attendees.
On the Dynamics of Human Proximity for Data Diffusion in Ad-Hoc Networks.
Close Encounters in a Pediatric Ward: Measuring Face-to-Face Proximity and Mixing Patterns with Wearable Sensors.
What’s in a Crowd? Analysis of Face-to-Face Behavioral Networks.
Wearable Sensor Networks for Measuring Face-to-Face Contact Patterns in Healthcare Settings.
Social Dynamics in Conferences: Analysis of Data from the Live Social Semantics Application.
Providing Enhanced Social Interaction Services for Industry Exhibitors at large Medical Conferences.
Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks.
Semantics, Sensors, and the Social Web: The Live Social Semantics Experiments.
The Live Social Semantics Application: a Platform for Integrating Face-to-Face Presence with On-Line Social Networking
Live Social Semantics
High Resolution Dynamical Mapping of Social Interactions With Active RFID.