Five Essential Properties of Disease Maps

被引:24
作者
Beyer, Kirsten M. M. [1 ]
Tiwari, Chetan [2 ]
Rushton, Gerard [3 ]
机构
[1] Med Coll Wisconsin, Inst Hlth & Soc, Milwaukee, WI 53266 USA
[2] Univ N Texas, Dept Geog, Denton, TX 76203 USA
[3] Univ Iowa, Dept Geog, Iowa City, IA 52242 USA
关键词
cancer; disease mapping; spatial analysis; MAPPING MORTALITY; SPATIAL-ANALYSIS; EMPIRICAL BAYES; RATES; VISUALIZATION; PATTERNS; CLUSTERS; CANCER; RISKS;
D O I
10.1080/00045608.2012.659940
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
We argue that as the disease map user group grows, disease maps must prioritize several essential properties that support public health uses of disease maps. We identify and describe five important properties of disease maps that will produce maps appropriate for public health purposes: (1) Control the population basis of spatial support for estimating rates, (2) display rates continuously through space, (3) provide maximum geographic detail across the map, (4) consider directly and indirectly age-sex-adjusted rates, and (5) visualize rates within a relevant place context. We present an approach to realize these properties and illustrate it with small-area data from a population-based cancer registry. Users whose interests are in selecting areas for interventions to improve the health of local populations will find maps with these five properties useful. We discuss benefits and limitations of our approach, as well as future logical extensions of this work.
引用
收藏
页码:1067 / 1075
页数:9
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