ArticleInternational journal of health geographics2019
Development of the Australian Cancer Atlas: spatial modelling, visualisation, and reporting of estimates.
Article in International journal of health geographics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multivariate Bayesian meta-analysis: joint modelling of multiple cancer types using summary statistics.International journal of health geographics · 2020Pooled it
- Mapping the Aggregated Behavioural Risk Factors for Colorectal Cancer by Small Areas Across Australia.The Australian journal of rural health · 2026Article
- Generation of machine-learning derived cancer vulnerability indicator to determine the spatial burden of cancer outcomes.PloS one · 2026Article
- Evaluating the impact of the Modifiable Areal Unit Problem on ecological model inference: A case study of COVID-19 data in Queensland, Australia.Infectious Disease Modelling · 2025Article
- Identifying Rural Hotspots for Head and Neck Cancer Using the Bayesian Mapping Approach.Cancers · 2025Article
- Article
- Latent Archetypes of the Spatial Patterns of Cancer.Statistics in medicine · 2024Article
- Designing the Australian Cancer Atlas: visualizing geostatistical model uncertainty for multiple audiences.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Long-Term Effect of Temperature Increase on Liver Cancer in Australia: A Bayesian Spatial Analysis.Environmental health perspectives · 2024Article
- Mapping the prevalence of cancer risk factors at the small area level in Australia.International journal of health geographics · 2023Article
- Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023Article
- Geographical and spatial variations in bowel cancer screening participation, Australia, 2015-2020.PloS one · 2023Article
- Disease mapping: Geographic differences in population rates of interventional treatment for prostate cancer in Australia.PloS one · 2023Article
- Small area disease mapping of cancer incidence in British Columbia using Bayesian spatial models and the smallareamapp R Package.Frontiers in oncology · 2022Article
- Bayesian spatial modelling of early childhood development in Australian regions.International journal of health geographics · 2020Article
- A Review of Models Used for Investigating Barriers to Healthcare Access in Australia.International journal of environmental research and public health · 2020Review
- Geographical Disparities in Screening and Cancer-Related Health Behaviour.International journal of environmental research and public health · 2020Article
- Investigation of Geographical Disparities: The Use of An Interpolation Method For Cancer Registry Data.The Journal of the Oklahoma State Medical AssociationArticle
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt 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.
methodsThe 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.
resultsThe 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.
conclusionsThe 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.
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