Literature DB >> 1955252

Mapping mortality and morbidity patterns: an international comparison.

S D Walter1, S E Birnie.   

Abstract

A set of 49 national, intranational and international health atlases was surveyed to characterize their mapping methodology with respect to the populations covered, the diseases represented, the mapping techniques, and statistical methods. Little consistency was found concerning the choice of data function to be mapped, minimum event frequency requirements, method of age standardization, or map colour systems. Many atlases did not include basic epidemiological information; for instance, approximately half the atlases did not quote population denominators. There was a tendency to emphasize statistical significance over rate values, and to focus on high rather than low risk. Very few atlases included supplemental information on environmental factors. Most adopted a descriptive stance, and attempted no aetiological interpretation. We conclude that inter-atlas comparisons are made very difficult by methodological differences, and that even regional comparisons within atlases should be made cautiously. We propose a set of methodological guidelines for consideration in future atlases.

Mesh:

Year:  1991        PMID: 1955252     DOI: 10.1093/ije/20.3.678

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  10 in total

1.  Estimating potential savings in cancer deaths by eliminating regional and social class variation in cancer survival in the Nordic countries.

Authors:  P W Dickman; R W Gibberd; T Hakulinen
Journal:  J Epidemiol Community Health       Date:  1997-06       Impact factor: 3.710

2.  The production and interpretation of disease mapsA methodological case-study.

Authors:  Mohsen Rezaeian; Graham Dunn; Selwyn St Leger; Louis Appleby
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2004-12       Impact factor: 4.328

3.  Geographical epidemiology, spatial analysis and geographical information systems: a multidisciplinary glossary.

Authors:  Mohsen Rezaeian; Graham Dunn; Selwyn St Leger; Louis Appleby
Journal:  J Epidemiol Community Health       Date:  2007-02       Impact factor: 3.710

4.  An analysis of the geographic variation in cancer incidence and its determinants in Ontario.

Authors:  S D Walter; L D Marrett; S M Taylor; D King
Journal:  Can J Public Health       Date:  1999 Mar-Apr

5.  The geographic variation of cancer incidence in Ontario.

Authors:  S D Walter; S E Birnie; L D Marrett; S M Taylor; D Reynolds; J Davies; J J Drake; M Hayes
Journal:  Am J Public Health       Date:  1994-03       Impact factor: 9.308

6.  Components of small area variation in death rates: a method applied to data from Sweden.

Authors:  R Westerling
Journal:  J Epidemiol Community Health       Date:  1995-04       Impact factor: 3.710

7.  Exploring Uncertainty in Canine Cancer Data Sources Through Dasymetric Refinement.

Authors:  Gianluca Boo; Stefan Leyk; Sara I Fabrikant; Ramona Graf; Andreas Pospischil
Journal:  Front Vet Sci       Date:  2019-02-26

8.  Epidemic assistance by the Centers for Disease Control and Prevention: role of the Epidemic Intelligence Service, 1946-2005.

Authors:  Stephen B Thacker; Donna F Stroup; David J Sencer
Journal:  Am J Epidemiol       Date:  2011-12-01       Impact factor: 4.897

9.  Policies to influence perceptions about COVID-19 risk: The case of maps.

Authors:  Claudia Engel; Jonathan Rodden; Marco Tabellini
Journal:  Sci Adv       Date:  2022-03-18       Impact factor: 14.136

Review 10.  Spatial epidemiology: current approaches and future challenges.

Authors:  Paul Elliott; Daniel Wartenberg
Journal:  Environ Health Perspect       Date:  2004-06       Impact factor: 9.031

  10 in total

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