Volume 73 Supplement 1

Methods in Epidemiology Symposium

Open Access

A design to improve the comparability of area maps: the example of the premature mortality in Belgium

  • Francoise Renard1,
  • Patrick Deboosere2 and
  • Jean Tafforeau1
Archives of Public HealthThe official journal of the Belgian Public Health Association201573(Suppl 1):P32

DOI: 10.1186/2049-3258-73-S1-P32

Published: 17 September 2015

Methods

A diverging green-to-red colour scale is used, where the cut-off colour (yellow) represents a reference value with the same meaning across all maps: the average sex-specific mortality rate for the cause of death studied. To represent the relative disparity, rates are classified according to a geometric progression with a 1.1 step, meaning that each colour class has a mortality rate 1.1 times higher than the preceding one. The number of classes is determined by the disparity between the extreme districts: the larger the disparity, the more colour classes present and the sharper the colour contrast. The relative distance between the highest and the lowest classes is 1.1 The midpoint of each class is calculated as the average rate * (1.1) rank of the class, starting from the average. The legend of the maps displays the boundaries of each class.

Results

The all-causes premature mortality map displays 8 colour classes in males and 6 in females, expressing a stronger between-district disparity in men (RR= 1.8) than in women (RR=1.6). The highest class (observed in Mons and Charleroi) ranks at the 4th position above the average (being 490.6 per 100.000). The midpoint of this highest class is calculated as 490.6*(1.14) = 718 per 100.000. The lowest rate is observed in Maaseik (3rd class below the average). The midpoint of this lowest class is 490.6*(1.1-3) = 368.5 per 100.000.

Conclusion

the use of a relative scale allows an easy comparison between maps and shows at a glance the relative between-district disparity.

Authors’ Affiliations

(1)
The Scientific Institute of Public Health WIV-ISP
(2)
Vrije Universiteit

Copyright

© Renard et al. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Advertisement