Kucharski, AJ, Wenham, C, Brownlee, P, Racon, L, Widmer, N, Eames, KTD and Conlan, AJK. 2018. Reported contacts dataset for "Structure and consistency of self-reported social contact networks in British secondary schools". [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.1371/journal.pone.0200090.s002
Kucharski, AJ, Wenham, C, Brownlee, P, Racon, L, Widmer, N, Eames, KTD and Conlan, AJK. Reported contacts dataset for "Structure and consistency of self-reported social contact networks in British secondary schools" [Internet]. London School of Hygiene & Tropical Medicine; 2018. Available from: https://doi.org/10.1371/journal.pone.0200090.s002
Kucharski, AJ, Wenham, C, Brownlee, P, Racon, L, Widmer, N, Eames, KTD and Conlan, AJK (2018). Reported contacts dataset for "Structure and consistency of self-reported social contact networks in British secondary schools". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.1371/journal.pone.0200090.s002
Description
Self-reported social mixing patterns are commonly used in mathematical models of infectious diseases. It is particularly important to quantify patterns for school-age children given their disproportionate role in transmission, but it remains unclear how the structure of such social interactions changes over time. By integrating data collection into a public engagement programme, we examined self-reported contact networks in year 7 groups in four UK secondary schools. We collected data from 460 unique participants across four rounds of data collection conducted between January and June 2015, with 7,315 identifiable contacts reported in total. Although individual-level contacts varied over the study period, we were able to obtain out-of-sample accuracies of more than 90% and F-scores of 0.49–0.84 when predicting the presence or absence of social contacts between specific individuals across rounds of data collection. Network properties such as clustering and number of communities were broadly consistent within schools between survey rounds, but varied significantly between schools. Networks were assortative according to gender, and to a lesser extent school class, with the estimated clustering coefficient larger among males in all surveyed co-educational schools. Our results demonstrate that it is feasible to collect longitudinal self-reported social contact data from school children and that key properties of these data are consistent between rounds of data collection.
Additional information
A backup of the Github repository has been made for preservation purposes.
Data capture method | Questionnaire | ||||||||||||||||
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Date (Date published in a 3rd party system) | 25 July 2018 | ||||||||||||||||
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Language(s) of written materials | English |
Data Creators | Kucharski, AJ, Wenham, C, Brownlee, P, Racon, L, Widmer, N, Eames, KTD and Conlan, AJK |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, Highgate School, London, United Kingdom, St Bonaventure’s School, London, United Kingdom, St Paul’s Catholic College, Burgess Hill, United Kingdom, University of Cambridge, Cambridge, United Kingdom |
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Date Deposited | 02 Aug 2018 09:04 |
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Last Modified | 08 Jul 2021 12:49 |
Publisher | London School of Hygiene & Tropical Medicine |