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Improving spatial microsimulation estimates of health outcomes by including geographic indicators of health behaviour: The example of problem gambling

Markham, Francis; Young, Martin; Doran, Bruce

Description

Gambling is an important public health issue, with recent estimates ranking it as the third largest contributor of disability adjusted life years lost to ill-health. However, no studies to date have estimated the spatial distribution of gambling-related harm in small areas on the basis of surveys of problem gambling. This study extends spatial microsimulation approaches to include a spatially-referenced measure of health behaviour as a constraint variable in order to better estimate the spatial...[Show more]

dc.contributor.authorMarkham, Francis
dc.contributor.authorYoung, Martin
dc.contributor.authorDoran, Bruce
dc.date.accessioned2021-07-08T23:50:48Z
dc.identifier.issn1353-8292
dc.identifier.urihttp://hdl.handle.net/1885/238644
dc.description.abstractGambling is an important public health issue, with recent estimates ranking it as the third largest contributor of disability adjusted life years lost to ill-health. However, no studies to date have estimated the spatial distribution of gambling-related harm in small areas on the basis of surveys of problem gambling. This study extends spatial microsimulation approaches to include a spatially-referenced measure of health behaviour as a constraint variable in order to better estimate the spatial distribution of problem gambling. Specifically, this study allocates georeferenced electronic gaming machine expenditure data to small residential areas using a Huff model. This study demonstrates how the incorporation of auxiliary spatial data on health behaviours such as gambling expenditure can improve spatial microsimulation estimates of health outcomes like problem gambling.
dc.description.sponsorshipCollection of data analysed in this study was jointly funded by the Australian Research Council and the Community Benefit Fund of the Northern Territory (ARC Linkage Grant LP0990584).
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherElsevier
dc.rights© 2017 Elsevier Ltd.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceHealth & Place: An International Journal
dc.subjectSpatial microsimulation
dc.subjectModel specification
dc.subjectElectronic gaming machines
dc.subjectProblem gambling
dc.subjectGambling
dc.titleImproving spatial microsimulation estimates of health outcomes by including geographic indicators of health behaviour: The example of problem gambling
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume46
dc.date.issued2017
local.identifier.absfor111706 - Epidemiology
local.identifier.ariespublicationa383154xPUB5780
local.publisher.urlhttps://www.elsevier.com/en-au
local.type.statusAccepted Version
local.contributor.affiliationMarkham, Francis, College of Science, ANU
local.contributor.affiliationYoung, Martin, Southern Cross University
local.contributor.affiliationDoran, Bruce, College of Science, ANU
dc.relationhttp://purl.org/au-research/grants/arc/LP0990584
local.bibliographicCitation.startpage29
local.bibliographicCitation.lastpage36
local.identifier.doi10.1016/j.healthplace.2017.04.008
local.identifier.absseo920405 - Environmental Health
dc.date.updated2020-11-23T10:40:30Z
local.identifier.scopusID2-s2.0-85018242397
local.identifier.thomsonID000407404500005
dcterms.accessRightsOpen Access
dc.provenancehttps://v2.sherpa.ac.uk/id/publication/16827..."The Accepted Version can be archived in an Institutional Repository. 24 Months. CC BY-NC-ND." from SHERPA/RoMEO site (as at 9/07/2021).
dc.rights.licenseCC BY-NC-ND
CollectionsANU Research Publications

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