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Diffusion of treatment in social networks and mass drug administration

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cam.issuedOnline2017-12-05
cam.orpheus.successThu Jan 30 13:00:16 GMT 2020 - The item has an open VoR version.
datacite.issupplementedby.doi10.17863/CAM.26430
dc.contributor.authorChami, GF
dc.contributor.authorKontoleon, A
dc.contributor.authorBulte, E
dc.contributor.authorFenwick, A
dc.contributor.authorKabatereine, NB
dc.contributor.authorTukahebwa, EM
dc.contributor.authorDunne, D
dc.contributor.orcidKontoleon, Andreas [0000-0003-4769-898X]
dc.contributor.orcidDunne, David [0000-0002-8940-9886]
dc.date.accessioned2017-11-28T13:20:09Z
dc.date.available2017-11-28T13:20:09Z
dc.date.issued2017-12-05
dc.description.abstractInformation, behaviours, and technologies spread when people interact. Understanding these interactions is critical for achieving the greatest diffusion of public interventions. Yet, little is known about the performance of starting points (seed nodes) for diffusion. We track routine mass drug administration—the large-scale distribution of deworming drugs—in Uganda. We collect friendship networks, socioeconomic factors, and treatment delivery outcomes for 16,357 individuals in 3,491 households of 17 rural villages. Each village has two community medicine distributors (CMDs), who are the seed nodes and responsible for administering treatments. Here we show that CMDs with tightly-knit (clustered) friendship connections achieve the greatest reach and speed of treatment coverage. Importantly, we demonstrate that clustering predicts diffusion through social networks when spreading relies on contact with seed nodes whilst centrality is unrelated to diffusion. Clustering should be considered when selecting seed nodes for large-scale treatment campaigns.
dc.description.sponsorshipFinancially supported by the Vice Chancellor’s Fund of the University of Cambridge, the Schistosomiasis Control Initiative, the Wellcome Trust (Programme grant 083931/Z/07/Z to D.W.D), and the Netherlands Organization for Scientific Research (N.W.O. grant 452-04-333 to E.B.).
dc.identifier.doi10.17863/CAM.16681
dc.identifier.eissn2041-1723
dc.identifier.issn2041-1723
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/269755
dc.languageeng
dc.language.isoeng
dc.publisherSpringer Nature
dc.publisher.urlhttp://dx.doi.org/10.1038/s41467-017-01499-z
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAnthelmintics
dc.subjectCommunity Health Workers
dc.subjectDelivery of Health Care
dc.subjectFamily Characteristics
dc.subjectHelminthiasis
dc.subjectHumans
dc.subjectMass Drug Administration
dc.subjectRural Population
dc.subjectSocial Networking
dc.subjectSocial Support
dc.subjectSocioeconomic Factors
dc.subjectUganda
dc.titleDiffusion of treatment in social networks and mass drug administration
dc.typeArticle
dcterms.dateAccepted2017-09-21
prism.number1929
prism.publicationDate2017
prism.publicationNameNature Communications
prism.volume8
pubs.funder-project-idWellcome Trust (083931/Z/07/A)
pubs.funder-project-idMedical Research Council (G0900255)
pubs.funder-project-idWellcome Trust (083931/Z/07/Z)
pubs.funder-project-idIsaac Newton Trust (1119(a))
pubs.funder-project-idEuropean Commission (517733)
pubs.funder-project-idIsaac Newton Trust (MINUTE 1540(v))
pubs.funder-project-idImperial College London
pubs.funder-project-idWellcome Trust (100891/Z/13/Z)
rioxxterms.licenseref.startdate2017-12-05
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.typeJournal Article/Review
rioxxterms.versionAM
rioxxterms.versionofrecord10.1038/s41467-017-01499-z

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