Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Exploring the relationship between cancer incidence, social deprivation, and territorial typology: An ecological analysis at the sub-municipal level of three cancer types.

Created on 07 Sep 2026

Authors

Franck Golliot, Amandine Cochet, Pierre Schalkwijk, Olivier Catelinois, Brigitte Tretarre, Damien Mouly, Cyrille Delpierre

Published in

Spatial and spatio-temporal epidemiology. Volume 58. Pages 100814. Epub May 27, 2026.

Abstract

This study aimed to capture, at a fine geographical level, disparities in cancer incidence and to provide insight into the link between these disparities and social disadvantage, while taking into account territorial typology.
The analysis, conducted at the sub-municipal level, examined data from a French cancer registry that is part off the Francim network (the French network of cancer registries) regarding lung cancer, colorectal cancer, and non-Hodgkin lymphoma (NHL). The European Deprivation Index (EDI) was used to measure social deprivation. Hierarchical Bayesian models were employed to estimate, for each sub-municipal unit the posterior mean relative risk (RR) of cancer and to examine the relationship between cancer incidence, social deprivation, and rurality.
The study revealed significant geographical disparities in lung cancer incidence, as well as minimal disparities in colorectal and non-Hodgkin lymphoma (NHL) cancers. For lung cancer, these disparities were closely linked to social deprivation. Including a typology of territories categorised by rurality and population density in the models had little impact on the geographical disparities in the incidence rates of these three types of cancer.
The results highlight the importance of analysing these disparities at a fine geographical level while taking into account territorial deprivation, to produce actionable maps that can guide targeted public health measures in the most affected areas.

PMID:
42702483
Bibliographic data and abstract were imported from PubMed on 07 Sep 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 8
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement