ArticleEuropean journal of epidemiology2020
Disease mapping of early- and late-stage cancer to monitor inequalities in early detection: a study of cutaneous malignant melanoma.
Article in European journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 14 citations in OpenAlex.
- A Bayesian bivariate spatial modeling framework for stage-specific cancer incidence and targeting of screening efforts.American journal of epidemiology · 2026Article
- Sociodemographic disparities in incidence rates of advanced and low-risk prostate cancer as a proxy for diagnostic activity.Acta oncologica (Stockholm, Sweden) · 2025Article
- Syndemic geographic patterns of cancer risk in a health-deprived area of England.Public health in practice (Oxford, England) · 2024Article
- In vitro evaluation of p-coumaric acid and naringin combination in human epidermoid carcinoma cell line (A431).Medical oncology (Northwood, London, England) · 2023Article
- Luminescent Gold Nanoclusters for Bioimaging: Increasing the Ligand Complexity.Nanomaterials (Basel, Switzerland) · 2023Review
- Assessing the effect of environmental and socio-economic factors on skin melanoma incidence: an island-wide spatial study in Gran Canaria (Spain), 2007-2018.Cancer causes & control : CCC · 2022Article
- Comparing spatial patterns of 11 common cancers in Mainland China.BMC public health · 2022Article
- Recent Malignant Melanoma Epidemiology in Upper Silesia, Poland. A Decade-Long Study Focusing on the Agricultural Sector.International journal of environmental research and public health · 2021Article
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
We consider disease mapping of early- and late-stage cancer, in order to identify and monitor inequalities in early detection. Our method is demonstrated by mapping cancer incidence at high geographical resolution using data on 10,302 cutaneous malignant melanoma (CMM) cases within the 3.7 million population of South-West Sweden. The cases were geocoded into small-areas, each with a population size between 600 and 2600 and accessible socio-demographic data. Using the disease mapping application Rapid Inquiry Facility (RIF) 4.0, we produced regional maps to visualise spatial variations in stage I, II and III-IV CMM incidences, complemented by local maps to explore the variations within two urban areas. Pronounced spatial disparities in stage I CMM incidence were revealed by the regional and local maps. Stage I CMM incidence was markedly higher in wealthier small-areas, in particular within each urban area. A twofold higher stage I incidence was observed, on average, in the wealthiest small-areas (upper quintile) than in the poorest small-areas (lower quintile). We identified in the regional map of stage III-IV CMM two clusters of higher or lower than expected late-stage incidences which were quite distinct from those identified for stage I. In conclusion, our analysis of CMM incidences supported the use of this method of cancer stage incidence mapping for revealing geographical and socio-demographic disparities in cancer detection.
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