Optimizing targeted vaccination across cyber-physical networks: an empirically based mathematical simulation study

Research output: Contribution to journalJournal article – Annual report year: 2018Researchpeer-review

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Optimizing targeted vaccination across cyber-physical networks: an empirically based mathematical simulation study. / Mones, Enys; Stopczynski, Arkadiusz; Pentland, Alex 'Sandy'; Hupert, Nathaniel; Lehmann, Sune.

In: Journal of the Royal Society. Interface, Vol. 15, No. 138, 20170783, 2018.

Research output: Contribution to journalJournal article – Annual report year: 2018Researchpeer-review

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@article{f727682168624c4c87600d7773b2fe69,
title = "Optimizing targeted vaccination across cyber-physical networks: an empirically based mathematical simulation study",
abstract = "Targeted vaccination, whether to minimize the forward transmission of infectious diseases or their clinical impact, is one of the 'holy grails' of modern infectious disease outbreak response, yet it is difficult to achieve in practice due to the challenge of identifying optimal targets in real time. If interruption of disease transmission is the goal, targeting requires knowledge of underlying person-to-person contact networks. Digital communication networks may reflect not only virtual but also physical interactions that could result in disease transmission, but the precise overlap between these cyber and physical networks has never been empirically explored in real-life settings. Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. We show that individuals selected on the basis of their closeness centrality within cyber networks (what we call 'cyber-directed vaccination') can enhance vaccination campaigns against diseases with short-range (but not full-range) modes of transmission.",
keywords = "Digital networks, Disease transmission, Epidemiology, Physical proximity, Social networks, Vaccination",
author = "Enys Mones and Arkadiusz Stopczynski and Pentland, {Alex 'Sandy'} and Nathaniel Hupert and Sune Lehmann",
year = "2018",
doi = "10.1098/rsif.2017.0783",
language = "English",
volume = "15",
journal = "Journal of the Royal Society. Interface",
issn = "1742-5689",
publisher = "The/Royal Society",
number = "138",

}

RIS

TY - JOUR

T1 - Optimizing targeted vaccination across cyber-physical networks: an empirically based mathematical simulation study

AU - Mones, Enys

AU - Stopczynski, Arkadiusz

AU - Pentland, Alex 'Sandy'

AU - Hupert, Nathaniel

AU - Lehmann, Sune

PY - 2018

Y1 - 2018

N2 - Targeted vaccination, whether to minimize the forward transmission of infectious diseases or their clinical impact, is one of the 'holy grails' of modern infectious disease outbreak response, yet it is difficult to achieve in practice due to the challenge of identifying optimal targets in real time. If interruption of disease transmission is the goal, targeting requires knowledge of underlying person-to-person contact networks. Digital communication networks may reflect not only virtual but also physical interactions that could result in disease transmission, but the precise overlap between these cyber and physical networks has never been empirically explored in real-life settings. Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. We show that individuals selected on the basis of their closeness centrality within cyber networks (what we call 'cyber-directed vaccination') can enhance vaccination campaigns against diseases with short-range (but not full-range) modes of transmission.

AB - Targeted vaccination, whether to minimize the forward transmission of infectious diseases or their clinical impact, is one of the 'holy grails' of modern infectious disease outbreak response, yet it is difficult to achieve in practice due to the challenge of identifying optimal targets in real time. If interruption of disease transmission is the goal, targeting requires knowledge of underlying person-to-person contact networks. Digital communication networks may reflect not only virtual but also physical interactions that could result in disease transmission, but the precise overlap between these cyber and physical networks has never been empirically explored in real-life settings. Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. We show that individuals selected on the basis of their closeness centrality within cyber networks (what we call 'cyber-directed vaccination') can enhance vaccination campaigns against diseases with short-range (but not full-range) modes of transmission.

KW - Digital networks

KW - Disease transmission

KW - Epidemiology

KW - Physical proximity

KW - Social networks

KW - Vaccination

U2 - 10.1098/rsif.2017.0783

DO - 10.1098/rsif.2017.0783

M3 - Journal article

VL - 15

JO - Journal of the Royal Society. Interface

JF - Journal of the Royal Society. Interface

SN - 1742-5689

IS - 138

M1 - 20170783

ER -