High-resolution measurements of face-to-face contact patterns in a primary school
Juliette Stehlé
(1, 2)
,
Nicolas Voirin
(3, 4)
,
Alain Barrat
(5, 1, 2, 6)
,
Ciro Cattuto
(6)
,
Lorenzo Isella
(6)
,
Jean-François Pinton
(7)
,
Marco Quaggiotto
(6)
,
Wouter van den Broeck
(6)
,
Corinne Régis
(4)
,
B. Lina
(8)
,
Philippe Vanhems
(3, 4)
1
CPT -
Centre de Physique Théorique - UMR 6207
2 CPT - Centre de Physique Théorique - UMR 7332
3 Service d'Hygiène, Epidémiologie et Prévention [Hôpital Edouard Herriot - HCL]
4 LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
5 CPT - E5 Physique statistique et systèmes complexes
6 ISI - Data Science Laboratory
7 Phys-ENS - Laboratoire de Physique de l'ENS Lyon
8 VPV - Virologie et pathogenèse virale
2 CPT - Centre de Physique Théorique - UMR 7332
3 Service d'Hygiène, Epidémiologie et Prévention [Hôpital Edouard Herriot - HCL]
4 LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
5 CPT - E5 Physique statistique et systèmes complexes
6 ISI - Data Science Laboratory
7 Phys-ENS - Laboratoire de Physique de l'ENS Lyon
8 VPV - Virologie et pathogenèse virale
Alain Barrat
Connectez-vous pour contacter l'auteur
- Fonction : Auteur correspondant
- PersonId : 1658
- IdHAL : alain-barrat
- ORCID : 0000-0001-8683-269X
- IdRef : 034852689
Connectez-vous pour contacter l'auteur
Corinne Régis
- Fonction : Auteur
- PersonId : 21708
- IdHAL : corinne-regis
B. Lina
- Fonction : Auteur
- PersonId : 837368
- ORCID : 0000-0002-8959-2123
- IdRef : 075685132
Philippe Vanhems
- Fonction : Auteur
- PersonId : 759616
- ORCID : 0000-0003-3188-1456
- IdRef : 061621196
Résumé
Little quantitative information is available on the mixing patterns of children in school environments. Describing and understanding contacts between children at school would help quantify the transmission opportunities of respiratory infections and identify situations within schools where the risk of transmission is higher. We report on measurements carried out in a French school (6-12 years children), where we collected data on the time-resolved face-to-face proximity of children and teachers using a proximity-sensing infrastructure based on radio frequency identification devices. Data on face-to-face interactions were collected on Thursday, October 1st and Friday, October 2nd 2009. We recorded 77,602 contact events between 242 individuals (232 children and 10 teachers). In this setting, each child has on average 323 contacts per day with 47 other children, leading to an average daily interaction time of 176 minutes. Most contacts are brief, but long contacts are also observed. Contacts occur mostly within each class, and each child spends on average three times more time in contact with classmates than with children of other classes. We describe the temporal evolution of the contact network and the trajectories followed by the children in the school, which constrain the contact patterns. We determine an exposure matrix aimed at informing mathematical models. This matrix exhibits a class and age structure which is very different from the homogeneous mixing hypothesis. We report on important properties of the contact patterns between school children that are relevant for modeling the propagation of diseases and for evaluating control measures. We discuss public health implications related to the management of schools in case of epidemics and pandemics. Our results can help define a prioritization of control measures based on preventive measures, case isolation, classes and school closures, that could reduce the disruption to education during epidemics.
Domaines
Mécanique statistique [cond-mat.stat-mech] Physique et Société [physics.soc-ph] Santé publique et épidémiologie Sociologie Autre [q-bio.OT]Format du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
High-resolution measurements of face-to-face contact patterns in a primary school
|
Résumé |
en
Little quantitative information is available on the mixing patterns of children in school environments. Describing and understanding contacts between children at school would help quantify the transmission opportunities of respiratory infections and identify situations within schools where the risk of transmission is higher. We report on measurements carried out in a French school (6-12 years children), where we collected data on the time-resolved face-to-face proximity of children and teachers using a proximity-sensing infrastructure based on radio frequency identification devices. Data on face-to-face interactions were collected on Thursday, October 1st and Friday, October 2nd 2009. We recorded 77,602 contact events between 242 individuals (232 children and 10 teachers). In this setting, each child has on average 323 contacts per day with 47 other children, leading to an average daily interaction time of 176 minutes. Most contacts are brief, but long contacts are also observed. Contacts occur mostly within each class, and each child spends on average three times more time in contact with classmates than with children of other classes. We describe the temporal evolution of the contact network and the trajectories followed by the children in the school, which constrain the contact patterns. We determine an exposure matrix aimed at informing mathematical models. This matrix exhibits a class and age structure which is very different from the homogeneous mixing hypothesis. We report on important properties of the contact patterns between school children that are relevant for modeling the propagation of diseases and for evaluating control measures. We discuss public health implications related to the management of schools in case of epidemics and pandemics. Our results can help define a prioritization of control measures based on preventive measures, case isolation, classes and school closures, that could reduce the disruption to education during epidemics.
|
Auteur(s) |
Juliette Stehlé
1, 2
, Nicolas Voirin
3, 4
, Alain Barrat
5, 1, 2, 6
, Ciro Cattuto
6
, Lorenzo Isella
6
, Jean-François Pinton
7
, Marco Quaggiotto
6
, Wouter van den Broeck
6
, Corinne Régis
4
, B. Lina
8
, Philippe Vanhems
3, 4
1
CPT -
Centre de Physique Théorique - UMR 6207
( 400 )
- Aix-Marseille Université Case 907 13288 Marseille cedex 9 Université de Toulon 83957 La Garde
- France
2
CPT -
Centre de Physique Théorique - UMR 7332
( 179898 )
- Centre de Physique Théorique
Campus de Luminy, Case 907
163 Avenue de Luminy
13288 Marseille cedex 9, France
- France
3
Service d'Hygiène, Epidémiologie et Prévention [Hôpital Edouard Herriot - HCL]
( 81937 )
- 5, place d'Arsonval 69437 Lyon cedex 03
- France
4
LBBE -
Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
( 10025 )
- 43 Bld du 11 Novembre 1918 69622 VILLEURBANNE CEDEX
- France
5
CPT - E5 Physique statistique et systèmes complexes
( 407864 )
- France
6
ISI -
Data Science Laboratory
( 103758 )
- Turin
- Italie
7
Phys-ENS -
Laboratoire de Physique de l'ENS Lyon
( 13 )
- 46 allée d'Italie 69007 Lyon
- France
8
VPV -
Virologie et pathogenèse virale
( 714 )
- Faculté de Médecine RTH Laennec Rue Guillaume Paradin 69372 LYON CEDEX 08
- France
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Date de publication |
2011-08-16
|
Date de publication électronique |
2011-08-16
|
Volume |
6
|
Numéro |
8
|
Page/Identifiant |
e23176
|
Domaine(s) |
|
Mots-clés |
en
Networks and graphs
|
DOI | 10.1371/journal.pone.0023176 |
Origine :
Fichiers produits par l'(les) auteur(s)
Loading...