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dc.contributor.authorDuncan, Earl W
dc.contributor.authorCramb, Susanna M
dc.contributor.authorAitken, Joanne F
dc.contributor.authorMengersen, Kerrie L
dc.contributor.authorBaade, Peter D
dc.date.accessioned2019-10-10T00:04:42Z
dc.date.available2019-10-10T00:04:42Z
dc.date.issued2019
dc.identifier.issn1476-072X
dc.identifier.doi10.1186/s12942-019-0185-9
dc.identifier.urihttp://hdl.handle.net/10072/388208
dc.description.abstractBackground: It is well known that the burden caused by cancer can vary geographically, which may relate to differences in health, economics or lifestyle. However, to date, there was no comprehensive picture of how the cancer burden, measured by cancer incidence and survival, varied by small geographical area across Australia. Methods: The Atlas consists of 2148 Statistical Areas level 2 across Australia defined by the Australian Statistical Geography Standard which provide the best compromise between small population and small area. Cancer burden was estimated for males, females, and persons separately, with 50 unique sex-specific (males, females, all persons) cancer types analysed. Incidence and relative survival were modelled with Bayesian spatial models using the Leroux prior which was carefully selected to provide adequate spatial smoothing while reflecting genuine geographic variation. Markov Chain Monte Carlo estimation was used because it facilitates quantifying the uncertainty of the posterior estimates numerically and visually. Results: The results of the statistical model and visualisation development were published through the release of the Australian Cancer Atlas (https://atlas.cancer.org.au) in September, 2018. The Australian Cancer Atlas provides the first freely available, digital, interactive picture of cancer incidence and survival at the small geographical level across Australia with a focus on incorporating uncertainty, while also providing the tools necessary for accurate estimation and appropriate interpretation and decision making. Conclusions: The success of the Atlas will be measured by how widely it is used by key stakeholders to guide research and inform decision making. It is hoped that the Atlas and the methodology behind it motivates new research opportunities that lead to improvements in our understanding of the geographical patterns of cancer burden, possible causes or risk factors, and the reasons for differences in variation between cancer types, both within Australia and globally. Future versions of the Atlas are planned to include new data sources to include indicators such as cancer screening and treatment, and extensions to the statistical methods to incorporate changes in geographical patterns over time.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherBioMed Central
dc.publisher.placeUnited Kingdom
dc.relation.ispartofpagefrom21: 1
dc.relation.ispartofpageto21: 12
dc.relation.ispartofissue1
dc.relation.ispartofjournalInternational Journal of Health Geographics
dc.relation.ispartofvolume18
dc.subject.fieldofresearchHuman Geography
dc.subject.fieldofresearchPublic Health and Health Services
dc.subject.fieldofresearchcode1604
dc.subject.fieldofresearchcode1117
dc.subject.keywordsCancer incidence
dc.subject.keywordsRelative survival
dc.subject.keywordsSpatial smoothing
dc.subject.keywordsAustralian Cancer Atlas
dc.titleDevelopment of the Australian Cancer Atlas: spatial modelling, visualisation, and reporting of estimates
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationDuncan, EW; Cramb, SM; Aitken, JF; Mengersen, KL; Baade, PD, Development of the Australian Cancer Atlas: spatial modelling, visualisation, and reporting of estimates., International Journal of Health Geographics, 2019, 18 (1), pp. 21: 1-21: 12
dcterms.dateAccepted2019-09-21
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2019-10-09T23:45:35Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyrightCopyright © 2019 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
gro.hasfulltextFull Text
gro.griffith.authorBaade, Peter D.
gro.griffith.authorAitken, Joanne


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