Risk of Coinfection Outbreaks in Temporal Networks: A Case Study of a Hospital Contact Network

We study the spreading of cooperative infections in an empirical temporal network of contacts between people, including health care workers and patients, in a hospital. The system exhibits a phase transition leading to one or several endemic branches, depending on the connectivity pattern and the te...

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Main Authors: Jorge P. Rodríguez, Fakhteh Ghanbarnejad, Víctor M. Eguíluz
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-10-01
Series:Frontiers in Physics
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fphy.2017.00046/full
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spelling doaj-f2bff16e3cac426290d72a628afa0cb62020-11-24T23:37:49ZengFrontiers Media S.A.Frontiers in Physics2296-424X2017-10-01510.3389/fphy.2017.00046287123Risk of Coinfection Outbreaks in Temporal Networks: A Case Study of a Hospital Contact NetworkJorge P. Rodríguez0Fakhteh Ghanbarnejad1Víctor M. Eguíluz2Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), CSIC-UIB, Palma de Mallorca, SpainInstitut für Theoretische Physik, Technische Universität Berlin, Berlin, GermanyInstituto de Física Interdisciplinar y Sistemas Complejos (IFISC), CSIC-UIB, Palma de Mallorca, SpainWe study the spreading of cooperative infections in an empirical temporal network of contacts between people, including health care workers and patients, in a hospital. The system exhibits a phase transition leading to one or several endemic branches, depending on the connectivity pattern and the temporal correlations. There are two endemic branches in the original setting and the non-cooperative case. However, the cooperative interaction between infections reinforces the upper branch, leading to a smaller epidemic threshold and a higher probability for having a big outbreak. We show the microscopic mechanisms leading to these differences, characterize three different risks, and use the influenza features as an example for this dynamics.http://journal.frontiersin.org/article/10.3389/fphy.2017.00046/fullco-infectionhospital contact networkstemporal networksendemic bistabilitytemporal correlationsinfluenza
collection DOAJ
language English
format Article
sources DOAJ
author Jorge P. Rodríguez
Fakhteh Ghanbarnejad
Víctor M. Eguíluz
spellingShingle Jorge P. Rodríguez
Fakhteh Ghanbarnejad
Víctor M. Eguíluz
Risk of Coinfection Outbreaks in Temporal Networks: A Case Study of a Hospital Contact Network
Frontiers in Physics
co-infection
hospital contact networks
temporal networks
endemic bistability
temporal correlations
influenza
author_facet Jorge P. Rodríguez
Fakhteh Ghanbarnejad
Víctor M. Eguíluz
author_sort Jorge P. Rodríguez
title Risk of Coinfection Outbreaks in Temporal Networks: A Case Study of a Hospital Contact Network
title_short Risk of Coinfection Outbreaks in Temporal Networks: A Case Study of a Hospital Contact Network
title_full Risk of Coinfection Outbreaks in Temporal Networks: A Case Study of a Hospital Contact Network
title_fullStr Risk of Coinfection Outbreaks in Temporal Networks: A Case Study of a Hospital Contact Network
title_full_unstemmed Risk of Coinfection Outbreaks in Temporal Networks: A Case Study of a Hospital Contact Network
title_sort risk of coinfection outbreaks in temporal networks: a case study of a hospital contact network
publisher Frontiers Media S.A.
series Frontiers in Physics
issn 2296-424X
publishDate 2017-10-01
description We study the spreading of cooperative infections in an empirical temporal network of contacts between people, including health care workers and patients, in a hospital. The system exhibits a phase transition leading to one or several endemic branches, depending on the connectivity pattern and the temporal correlations. There are two endemic branches in the original setting and the non-cooperative case. However, the cooperative interaction between infections reinforces the upper branch, leading to a smaller epidemic threshold and a higher probability for having a big outbreak. We show the microscopic mechanisms leading to these differences, characterize three different risks, and use the influenza features as an example for this dynamics.
topic co-infection
hospital contact networks
temporal networks
endemic bistability
temporal correlations
influenza
url http://journal.frontiersin.org/article/10.3389/fphy.2017.00046/full
work_keys_str_mv AT jorgeprodriguez riskofcoinfectionoutbreaksintemporalnetworksacasestudyofahospitalcontactnetwork
AT fakhtehghanbarnejad riskofcoinfectionoutbreaksintemporalnetworksacasestudyofahospitalcontactnetwork
AT victormeguiluz riskofcoinfectionoutbreaksintemporalnetworksacasestudyofahospitalcontactnetwork
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