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Dynamic social networks and the implications for the spread of infectious disease

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Dynamic social networks and the implications for the spread of infectious disease. / Read, Jonathan M.; Eames, Ken T. D.; Edmunds, W. John.
In: Interface, Vol. 5, No. 26, 06.09.2008, p. 1001-1007.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Read JM, Eames KTD, Edmunds WJ. Dynamic social networks and the implications for the spread of infectious disease. Interface. 2008 Sept 6;5(26):1001-1007. doi: 10.1098/rsif.2008.0013

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Read, Jonathan M. ; Eames, Ken T. D. ; Edmunds, W. John. / Dynamic social networks and the implications for the spread of infectious disease. In: Interface. 2008 ; Vol. 5, No. 26. pp. 1001-1007.

Bibtex

@article{261cbbcd7b0b4e71aa14ed27b0e165ab,
title = "Dynamic social networks and the implications for the spread of infectious disease",
abstract = "Understanding the nature of human contact patterns is crucial for predicting the impact of future pandemics and devising effective control measures. However, few studies provide a quantitative description of the aspects of social interactions that are most relevant to disease transmission. Here, we present the results from a detailed diary-based survey of casual ( conversational) and close contact ( physical) encounters made by a small peer group of 49 adults who recorded 8661 encounters with 3528 different individuals over 14 non-consecutive days. We find that the stability of interactions depends on the intimacy of contact and social context. Casual contact encounters mostly occur in the workplace and are predominantly irregular, while close contact encounters mostly occur at home or in social situations and tend to be more stable. Simulated epidemics of casual contact transmission involve a large number of non-repeated encounters, and the social network is well captured by a random mixing model. However, the stability of the social network should be taken into account for close contact infections. Our findings have implications for the modelling of human epidemics and planning pandemic control policies based on social distancing methods.",
keywords = "airborne infection, contact diary, dynamic network, epidemiology, social distance, PANDEMIC INFLUENZA, MIXING PATTERNS, UNITED-STATES, TRANSMISSION, STRATEGIES, OUTBREAKS, CONTACTS, MODELS, WEB",
author = "Read, {Jonathan M.} and Eames, {Ken T. D.} and Edmunds, {W. John}",
year = "2008",
month = sep,
day = "6",
doi = "10.1098/rsif.2008.0013",
language = "English",
volume = "5",
pages = "1001--1007",
journal = "Interface",
issn = "1742-5689",
publisher = "Royal Society of London",
number = "26",

}

RIS

TY - JOUR

T1 - Dynamic social networks and the implications for the spread of infectious disease

AU - Read, Jonathan M.

AU - Eames, Ken T. D.

AU - Edmunds, W. John

PY - 2008/9/6

Y1 - 2008/9/6

N2 - Understanding the nature of human contact patterns is crucial for predicting the impact of future pandemics and devising effective control measures. However, few studies provide a quantitative description of the aspects of social interactions that are most relevant to disease transmission. Here, we present the results from a detailed diary-based survey of casual ( conversational) and close contact ( physical) encounters made by a small peer group of 49 adults who recorded 8661 encounters with 3528 different individuals over 14 non-consecutive days. We find that the stability of interactions depends on the intimacy of contact and social context. Casual contact encounters mostly occur in the workplace and are predominantly irregular, while close contact encounters mostly occur at home or in social situations and tend to be more stable. Simulated epidemics of casual contact transmission involve a large number of non-repeated encounters, and the social network is well captured by a random mixing model. However, the stability of the social network should be taken into account for close contact infections. Our findings have implications for the modelling of human epidemics and planning pandemic control policies based on social distancing methods.

AB - Understanding the nature of human contact patterns is crucial for predicting the impact of future pandemics and devising effective control measures. However, few studies provide a quantitative description of the aspects of social interactions that are most relevant to disease transmission. Here, we present the results from a detailed diary-based survey of casual ( conversational) and close contact ( physical) encounters made by a small peer group of 49 adults who recorded 8661 encounters with 3528 different individuals over 14 non-consecutive days. We find that the stability of interactions depends on the intimacy of contact and social context. Casual contact encounters mostly occur in the workplace and are predominantly irregular, while close contact encounters mostly occur at home or in social situations and tend to be more stable. Simulated epidemics of casual contact transmission involve a large number of non-repeated encounters, and the social network is well captured by a random mixing model. However, the stability of the social network should be taken into account for close contact infections. Our findings have implications for the modelling of human epidemics and planning pandemic control policies based on social distancing methods.

KW - airborne infection

KW - contact diary

KW - dynamic network

KW - epidemiology

KW - social distance

KW - PANDEMIC INFLUENZA

KW - MIXING PATTERNS

KW - UNITED-STATES

KW - TRANSMISSION

KW - STRATEGIES

KW - OUTBREAKS

KW - CONTACTS

KW - MODELS

KW - WEB

U2 - 10.1098/rsif.2008.0013

DO - 10.1098/rsif.2008.0013

M3 - Journal article

VL - 5

SP - 1001

EP - 1007

JO - Interface

JF - Interface

SN - 1742-5689

IS - 26

ER -