Imperial College London
Portrait Picture

Dr Frédéric B. Piel

Faculty of Medicine, School of Public Health

Senior Lecturer
 
 
 
//

Contact

 

f.piel

 
 
//

Location

 

1112Sir Michael Uren HubWhite City Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Stromberg:2020:10.1007/s10654-020-00637-0,
author = {Stromberg, U and Parkes, B and Holmen, A and Peterson, S and Holmberg, E and Baigi, A and Piel, F},
doi = {10.1007/s10654-020-00637-0},
journal = {European Journal of Epidemiology},
pages = {537--547},
title = {Disease mapping of early- and late-stage cancer to monitor inequalities in early detection: a study of cutaneous malignant melanoma},
url = {http://dx.doi.org/10.1007/s10654-020-00637-0},
volume = {35},
year = {2020}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Stromberg,U
AU  - Parkes,B
AU  - Holmen,A
AU  - Peterson,S
AU  - Holmberg,E
AU  - Baigi,A
AU  - Piel,F
DO  - 10.1007/s10654-020-00637-0
EP  - 547
PY  - 2020///
SN  - 0393-2990
SP  - 537
TI  - Disease mapping of early- and late-stage cancer to monitor inequalities in early detection: a study of cutaneous malignant melanoma
T2  - European Journal of Epidemiology
UR  - http://dx.doi.org/10.1007/s10654-020-00637-0
UR  - https://link.springer.com/article/10.1007%2Fs10654-020-00637-0
UR  - http://hdl.handle.net/10044/1/79137
VL  - 35
ER  -
Download