Age-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys

Abstract Comparisons of the utility and accuracy of methods for measuring social interactions relevant to disease transmission are rare. To increase the evidence base supporting specific methods to measure social interaction, we compared data from self-reported contact surveys and wearable proximity...

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Autores principales:	Kyra H. Grantz, Derek A. T. Cummings, Shanta Zimmer, Charles Vukotich Jr., David Galloway, Mary Lou Schweizer, Hasan Guclu, Jennifer Cousins, Carrie Lingle, Gabby M. H. Yearwood, Kan Li, Patti Calderone, Eva Noble, Hongjiang Gao, Jeanette Rainey, Amra Uzicanin, Jonathan M. Read
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2329feb7753242689b4b917bf9c2dc57
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spelling	oai:doaj.org-article:2329feb7753242689b4b917bf9c2dc572021-12-02T13:24:26ZAge-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys10.1038/s41598-021-81673-y2045-2322https://doaj.org/article/2329feb7753242689b4b917bf9c2dc572021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81673-yhttps://doaj.org/toc/2045-2322Abstract Comparisons of the utility and accuracy of methods for measuring social interactions relevant to disease transmission are rare. To increase the evidence base supporting specific methods to measure social interaction, we compared data from self-reported contact surveys and wearable proximity sensors from a cohort of schoolchildren in the Pittsburgh metropolitan area. Although the number and type of contacts recorded by each participant differed between the two methods, we found good correspondence between the two methods in aggregate measures of age-specific interactions. Fewer, but longer, contacts were reported in surveys, relative to the generally short proximal interactions captured by wearable sensors. When adjusted for expectations of proportionate mixing, though, the two methods produced highly similar, assortative age-mixing matrices. These aggregate mixing matrices, when used in simulation, resulted in similar estimates of risk of infection by age. While proximity sensors and survey methods may not be interchangeable for capturing individual contacts, they can generate highly correlated data on age-specific mixing patterns relevant to the dynamics of respiratory virus transmission.Kyra H. GrantzDerek A. T. CummingsShanta ZimmerCharles Vukotich Jr.David GallowayMary Lou SchweizerHasan GucluJennifer CousinsCarrie LingleGabby M. H. YearwoodKan LiPatti CalderoneEva NobleHongjiang GaoJeanette RaineyAmra UzicaninJonathan M. ReadNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kyra H. Grantz Derek A. T. Cummings Shanta Zimmer Charles Vukotich Jr. David Galloway Mary Lou Schweizer Hasan Guclu Jennifer Cousins Carrie Lingle Gabby M. H. Yearwood Kan Li Patti Calderone Eva Noble Hongjiang Gao Jeanette Rainey Amra Uzicanin Jonathan M. Read Age-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys
description	Abstract Comparisons of the utility and accuracy of methods for measuring social interactions relevant to disease transmission are rare. To increase the evidence base supporting specific methods to measure social interaction, we compared data from self-reported contact surveys and wearable proximity sensors from a cohort of schoolchildren in the Pittsburgh metropolitan area. Although the number and type of contacts recorded by each participant differed between the two methods, we found good correspondence between the two methods in aggregate measures of age-specific interactions. Fewer, but longer, contacts were reported in surveys, relative to the generally short proximal interactions captured by wearable sensors. When adjusted for expectations of proportionate mixing, though, the two methods produced highly similar, assortative age-mixing matrices. These aggregate mixing matrices, when used in simulation, resulted in similar estimates of risk of infection by age. While proximity sensors and survey methods may not be interchangeable for capturing individual contacts, they can generate highly correlated data on age-specific mixing patterns relevant to the dynamics of respiratory virus transmission.
format	article
author	Kyra H. Grantz Derek A. T. Cummings Shanta Zimmer Charles Vukotich Jr. David Galloway Mary Lou Schweizer Hasan Guclu Jennifer Cousins Carrie Lingle Gabby M. H. Yearwood Kan Li Patti Calderone Eva Noble Hongjiang Gao Jeanette Rainey Amra Uzicanin Jonathan M. Read
author_facet	Kyra H. Grantz Derek A. T. Cummings Shanta Zimmer Charles Vukotich Jr. David Galloway Mary Lou Schweizer Hasan Guclu Jennifer Cousins Carrie Lingle Gabby M. H. Yearwood Kan Li Patti Calderone Eva Noble Hongjiang Gao Jeanette Rainey Amra Uzicanin Jonathan M. Read
author_sort	Kyra H. Grantz
title	Age-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys
title_short	Age-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys
title_full	Age-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys
title_fullStr	Age-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys
title_full_unstemmed	Age-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys
title_sort	age-specific social mixing of school-aged children in a us setting using proximity detecting sensors and contact surveys
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2329feb7753242689b4b917bf9c2dc57
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Age-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys

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