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Social contact networks and mixing among students in K-12 schools in Pittsburgh, PA

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Social contact networks and mixing among students in K-12 schools in Pittsburgh, PA. / Guclu, Hasan; Read, Jonathan Michael; Vukotich, Charles J.; Galloway, David D. ; Gao, Hongjiang; Rainey, Jeanette J.; Uzicanin, Amra; Zimmer, Shanta M.; Cummings, Derek A. T.

In: PLoS ONE, Vol. 11, No. 3, e0151139, 15.03.2016.

Research output: Contribution to journalJournal article

Harvard

Guclu, H, Read, JM, Vukotich, CJ, Galloway, DD, Gao, H, Rainey, JJ, Uzicanin, A, Zimmer, SM & Cummings, DAT 2016, 'Social contact networks and mixing among students in K-12 schools in Pittsburgh, PA', PLoS ONE, vol. 11, no. 3, e0151139. https://doi.org/10.1371/journal.pone.0151139

APA

Guclu, H., Read, J. M., Vukotich, C. J., Galloway, D. D., Gao, H., Rainey, J. J., Uzicanin, A., Zimmer, S. M., & Cummings, D. A. T. (2016). Social contact networks and mixing among students in K-12 schools in Pittsburgh, PA. PLoS ONE, 11(3), [e0151139]. https://doi.org/10.1371/journal.pone.0151139

Vancouver

Guclu H, Read JM, Vukotich CJ, Galloway DD, Gao H, Rainey JJ et al. Social contact networks and mixing among students in K-12 schools in Pittsburgh, PA. PLoS ONE. 2016 Mar 15;11(3). e0151139. https://doi.org/10.1371/journal.pone.0151139

Author

Guclu, Hasan ; Read, Jonathan Michael ; Vukotich, Charles J. ; Galloway, David D. ; Gao, Hongjiang ; Rainey, Jeanette J. ; Uzicanin, Amra ; Zimmer, Shanta M. ; Cummings, Derek A. T. / Social contact networks and mixing among students in K-12 schools in Pittsburgh, PA. In: PLoS ONE. 2016 ; Vol. 11, No. 3.

Bibtex

@article{e031de8acb5045bc9bf7dbf5575b355b,
title = "Social contact networks and mixing among students in K-12 schools in Pittsburgh, PA",
abstract = "Students attending schools play an important role in the transmission of influenza. In this study, we present a social network analysis of contacts among 1,828 students in eight different schools in urban and suburban areas in and near Pittsburgh, Pennsylvania, United States of America, including elementary, elementary-middle, middle, and high schools. We collected social contact information of students who wore wireless sensor devices that regularly recorded other devices if they are within a distance of 3 meters. We analyzed these networks to identify patterns of proximal student interactions in different classes and grades, to describe community structure within the schools, and to assess the impact of the physical environment of schools on proximal contacts. In the elementary and middle schools, we observed a high number of intra-grade and intra-classroom contacts and a relatively low number of inter-grade contacts. However, in high schools, contact networks were well connected and mixed across grades. High modularity of lower grades suggests that assumptions of homogeneous mixing in epidemic models may be inappropriate; whereas lower modularity in high schools suggests that homogenous mixing assumptions may be more acceptable in these settings. The results suggest that interventions targeting subsets of classrooms may work better in elementary schools than high schools. Our work presents quantitative measures of age-specific, school-based contacts that can be used as the basis for constructing models of the transmission of infections in schools.",
author = "Hasan Guclu and Read, {Jonathan Michael} and Vukotich, {Charles J.} and Galloway, {David D.} and Hongjiang Gao and Rainey, {Jeanette J.} and Amra Uzicanin and Zimmer, {Shanta M.} and Cummings, {Derek A. T.}",
year = "2016",
month = mar
day = "15",
doi = "10.1371/journal.pone.0151139",
language = "English",
volume = "11",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "3",

}

RIS

TY - JOUR

T1 - Social contact networks and mixing among students in K-12 schools in Pittsburgh, PA

AU - Guclu, Hasan

AU - Read, Jonathan Michael

AU - Vukotich, Charles J.

AU - Galloway, David D.

AU - Gao, Hongjiang

AU - Rainey, Jeanette J.

AU - Uzicanin, Amra

AU - Zimmer, Shanta M.

AU - Cummings, Derek A. T.

PY - 2016/3/15

Y1 - 2016/3/15

N2 - Students attending schools play an important role in the transmission of influenza. In this study, we present a social network analysis of contacts among 1,828 students in eight different schools in urban and suburban areas in and near Pittsburgh, Pennsylvania, United States of America, including elementary, elementary-middle, middle, and high schools. We collected social contact information of students who wore wireless sensor devices that regularly recorded other devices if they are within a distance of 3 meters. We analyzed these networks to identify patterns of proximal student interactions in different classes and grades, to describe community structure within the schools, and to assess the impact of the physical environment of schools on proximal contacts. In the elementary and middle schools, we observed a high number of intra-grade and intra-classroom contacts and a relatively low number of inter-grade contacts. However, in high schools, contact networks were well connected and mixed across grades. High modularity of lower grades suggests that assumptions of homogeneous mixing in epidemic models may be inappropriate; whereas lower modularity in high schools suggests that homogenous mixing assumptions may be more acceptable in these settings. The results suggest that interventions targeting subsets of classrooms may work better in elementary schools than high schools. Our work presents quantitative measures of age-specific, school-based contacts that can be used as the basis for constructing models of the transmission of infections in schools.

AB - Students attending schools play an important role in the transmission of influenza. In this study, we present a social network analysis of contacts among 1,828 students in eight different schools in urban and suburban areas in and near Pittsburgh, Pennsylvania, United States of America, including elementary, elementary-middle, middle, and high schools. We collected social contact information of students who wore wireless sensor devices that regularly recorded other devices if they are within a distance of 3 meters. We analyzed these networks to identify patterns of proximal student interactions in different classes and grades, to describe community structure within the schools, and to assess the impact of the physical environment of schools on proximal contacts. In the elementary and middle schools, we observed a high number of intra-grade and intra-classroom contacts and a relatively low number of inter-grade contacts. However, in high schools, contact networks were well connected and mixed across grades. High modularity of lower grades suggests that assumptions of homogeneous mixing in epidemic models may be inappropriate; whereas lower modularity in high schools suggests that homogenous mixing assumptions may be more acceptable in these settings. The results suggest that interventions targeting subsets of classrooms may work better in elementary schools than high schools. Our work presents quantitative measures of age-specific, school-based contacts that can be used as the basis for constructing models of the transmission of infections in schools.

U2 - 10.1371/journal.pone.0151139

DO - 10.1371/journal.pone.0151139

M3 - Journal article

VL - 11

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 3

M1 - e0151139

ER -