Details:

Alternative Title:
PLoS One
Publisher's site:
http://dx.doi.org/10.1371/journal.pone.0153690
Personal Author:
Leecaster, Molly ; Toth, Damon J. A. ; Pettey, Warren B. P. ; Rainey, Jeanette J. ; Gao, Hongjiang ; ... More +
Leecaster, Molly ; Toth, Damon J. A. ; Pettey, Warren B. P. ; Rainey, Jeanette J. ; Gao, Hongjiang ; Uzicanin, Amra ; Samore, Matthew ; Less -
Description:
Estimates of contact among children, used for infectious disease transmission models and understanding social patterns, historically rely on self-report logs. Recently, wireless sensor technology has enabled objective measurement of proximal contact and comparison of data from the two methods. These are mostly small-scale studies, and knowledge gaps remain in understanding contact and mixing patterns and also in the advantages and disadvantages of data collection methods. We collected contact data from a middle school, with 7th and 8th grades, for one day using self-report contact logs and wireless sensors. The data were linked for students with unique initials, gender, and grade within the school. This paper presents the results of a comparison of two approaches to characterize school contact networks, wireless proximity sensors and self-report logs. Accounting for incomplete capture and lack of participation, we estimate that "sensor-detectable", proximal contacts longer than 20 seconds during lunch and class-time occurred at 2 fold higher frequency than "self-reportable" talk/touch contacts. Overall, 55% of estimated talk-touch contacts were also sensor-detectable whereas only 15% of estimated sensor-detectable contacts were also talk-touch. Contacts detected by sensors and also in self-report logs had longer mean duration than contacts detected only by sensors (6.3 vs 2.4 minutes). During both lunch and class-time, sensor-detectable contacts demonstrated substantially less gender and grade assortativity than talk-touch contacts. Hallway contacts, which were ascertainable only by proximity sensors, were characterized by extremely high degree and short duration. We conclude that the use of wireless sensors and self-report logs provide complementary insight on in-school mixing patterns and contact frequency.
Subject:
[+]
Child
Contact Tracing
Data Collection
Female
Humans
Male
Models, Theoretical
Respiratory Tract Infections
Schools
Self Report
Social Behavior
Students
Surveys And Questionnaires
Time Factors
Wireless Technology

Source:
PLoS One. 11(4).
Pubmed ID:
27100090
Pubmed Central ID:
PMC4839567
Document Type:
Journal Article ;
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:26fda6232259290022e629c0f47dcdec78cab68f3d3d6de33a19f0009ef95a85
File Type:

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