Small-area spatio-temporal analysis of cancer risk to support effective and equitable cancer prevention
Nathalie Saint-Jacques, Judy Purcell, Patrick E. Brown, Daniel G. Rainham, Trevor J. B. Dummer
TL;DR
This paper uses small-area mapping to show how cancer risk varies by community and socioeconomic status in Nova Scotia, aiming to guide equitable cancer prevention.
Contribution
The study introduces a spatio-temporal Bayesian model to identify cancer risk disparities linked to socioeconomic status at the community level.
Findings
Significant disparities in cancer risk were found across communities based on sex and socioeconomic status.
Small-area mapping effectively identifies at-risk communities and highlights inequities tied to material and social capacity.
The approach can be applied to other regions to improve cancer prevention and reduce health disparities.
Abstract
Cancer is rapidly increasing worldwide and urgent global action towards cancer control is required. Consistent with global trends, Canada is expected to experience a near doubling in new cases and cancer deaths between 2020–2040; population growth and ageing being the primary drivers. The projected increased cancer incidence and its associated costs is expected to further exacerbate socioeconomic inequities. Focused actions to prevent cancer, to detect it earlier when more treatable, and, to lower the risk of recurrence, must be prioritized. Almost half of all cancers are preventable, caused by risk factors that are potentially avoidable and modifiable. Integrating cancer prevention with care-based models is necessary and represents the most cost-effective and sustainable approach to control cancer. To be effective, prevention efforts must consider the cancers impacting local…
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Taxonomy
TopicsGlobal Cancer Incidence and Screening · Colorectal Cancer Screening and Detection · Nutritional Studies and Diet