About: Design and methods of a social network isolation study for reducing respiratory infection transmission: The eX-FLU cluster randomized trial

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About: Design and methods of a social network isolation study for reducing respiratory infection transmission: The eX-FLU cluster randomized trial Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Design and methods of a social network isolation study for reducing respiratory infection transmission: The eX-FLU cluster randomized trial
Creator	Monto, Arnold Uzicanin, Amra Aiello, Allison Aiello, A Eisenberg, Marisa Rainey, Jeanette Volz, Erik Davis, Brian Cheng, Caroline Gao, Hongjiang Knowles, Dylan Osgood, Nathaniel Simanek, Amanda Stanley, Kevin Tarter, Kara Walsh, Alison
topic	covid:2f99e51643ef13f0cc0e5309df28da906764996b#this
Source	Elsevier; Medline; PMC
abstract	BACKGROUND: Social networks are increasingly recognized as important points of intervention, yet relatively few intervention studies of respiratory infection transmission have utilized a network design. Here we describe the design, methods, and social network structure of a randomized intervention for isolating respiratory infection cases in a university setting over a 10-week period. METHODOLOGY/PRINCIPAL FINDINGS: 590 students in six residence halls enrolled in the eX-FLU study during a chain-referral recruitment process from September 2012–January 2013. Of these, 262 joined as “seed” participants, who nominated their social contacts to join the study, of which 328 “nominees” enrolled. Participants were cluster-randomized by 117 residence halls. Participants were asked to respond to weekly surveys on health behaviors, social interactions, and influenza-like illness (ILI) symptoms. Participants were randomized to either a 3-Day dorm room isolation intervention or a control group (no isolation) upon illness onset. ILI cases reported on their isolation behavior during illness and provided throat and nasal swab specimens at onset, day-three, and day-six of illness. A subsample of individuals (N = 103) participated in a sub-study using a novel smartphone application, iEpi, which collected sensor and contextually-dependent survey data on social interactions. Within the social network, participants were significantly positively assortative by intervention group, enrollment type, residence hall, iEpi participation, age, gender, race, and alcohol use (all P < 0.002). CONCLUSIONS/SIGNIFICANCE: We identified a feasible study design for testing the impact of isolation from social networks in a university setting. These data provide an unparalleled opportunity to address questions about isolation and infection transmission, as well as insights into social networks and behaviors among college-aged students. Several important lessons were learned over the course of this project, including feasible isolation durations, the need for extensive organizational efforts, as well as the need for specialized programmers and server space for managing survey and smartphone data.
has issue date	2016-02-01(xsd:dateTime)
bibo:doi	10.1016/j.epidem.2016.01.001
bibo:pmid	27266848
has license	no-cc
sha1sum (hex)	2f99e51643ef13f0cc0e5309df28da906764996b
schema:url	https://doi.org/10.1016/j.epidem.2016.01.001
resource representing a document's title	Design and methods of a social network isolation study for reducing respiratory infection transmission: The eX-FLU cluster randomized trial
has PubMed Central identifier	PMC4903923
has PubMed identifier	27266848
schema:publication	Epidemics
resource representing a document's body	covid:2f99e51643ef13f0cc0e5309df28da906764996b#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/2f99e51643ef13f0cc0e5309df28da906764996b
is schema:about of	named entity 'gender' named entity 'participants' named entity 'specimens' named entity 'provide' named entity 'server' named entity 'ILI' named entity 'respiratory infection' named entity 'learned' named entity 'survey' named entity 'race' named entity 'social network' named entity 'randomized' named entity 'AGED' named entity 'POINTS' named entity '328' named entity 'BACKGROUND' named entity 'PARTICIPATION' named entity 'ONSET' named entity 'RACE' named entity 'USING' named entity 'SURVEYS' named entity 'PROCESS' named entity 'REFERRAL' named entity 'INFLUENZA-LIKE ILLNESS' named entity 'ADDRESS' named entity 'SUBSAMPLE' named entity 'PERIOD' named entity 'THROAT' named entity 'HERE' named entity 'HALLS' named entity 'METHODS' covid:arg/2f99e51643ef13f0cc0e5309df28da906764996b named entity 'participated' named entity 'onset' named entity 'address' named entity 'age' named entity 'Social networks' named entity 'cases' named entity 'project' named entity 'opportunity' named entity 'Here' named entity 'social interactions' named entity 'durations' named entity 'study' named entity 'cases' named entity 'These' named entity 'http' named entity 'design for testing' named entity 'FLU' named entity 'residence hall' named entity 'respiratory infection' named entity 'by-nc-nd' named entity 'alcohol' named entity 'influenza' named entity 'ILI' named entity 'social network' named entity 'ILI' named entity 'contact tracing' named entity 'control group' named entity 'health behavior' named entity 'NetworkX' named entity 'Bluetooth' named entity 'assortativity' named entity 'social network'

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