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dc.contributor.authorChami, Goylette
dc.date.accessioned2017-12-15T13:32:04Z
dc.date.available2017-12-15T13:32:04Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/270256
dc.descriptionProject: Social network analysis for improving mass drug administration Data collection: Census-based, observational survey
dc.description.sponsorshipWellcome Trust
dc.formatThe data are provided in plain text files and can be read/open with any software with this capability, e.g. Word, Text editors, R, Python, Stata, and so on.
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSocial networks
dc.subjectMass drug Administration
dc.subjectCommunity health
dc.subjectglobal health
dc.subjectneglected tropical diseases
dc.subjectAfrica
dc.titleUganda Village Networks 2013
dc.typeDataset
dc.identifier.doi10.17863/CAM.15616
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
datacite.contributor.supervisorChami
dcterms.format.txt
rioxxterms.typeOther
pubs.funder-project-idIsaac Newton Trust (MINUTE 1540(v))
pubs.funder-project-idImperial College London
datacite.issupplementto.doi10.1073/pnas.1700166114
datacite.issupplementto.urlhttps://doi.org/10.1038/s41467-017-01499-z
datacite.isderivedfrom.doi10.1073/pnas.1700166114
datacite.isderivedfrom.doi10.1016/j.socscimed.2017.04.009


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)