Article de revue
Immunization strategies for epidemic processes in time-varying contact networks
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 the researchers 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. The researchers 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. The researchers 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.
Auteurs
Langues
- Anglais
Année de publication
2013
Journal
Journal of Theoretical Biology
Volume
337
Type
Article de revue
Catégories
- Prestation de services
Mots-clés
- Suivi de la couverture
- Rapport de données
- Suivi de performance
