A Review of Spatial Methods in Epidemiology, 2000-2010

被引：194

作者：

Auchincloss, Amy H. ^{[1
]}

Gebreab, Samson Y. ^{[2
]}

Mair, Christina ^{[3
]}

Roux, Ana V. Diez ^{[2
]}

机构：

[1] Drexel Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Philadelphia, PA 19102 USA

[2] Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA

[3] Univ Calif Berkeley, Prevent Res Ctr, Berkeley, CA 94704 USA

来源：

ANNUAL REVIEW OF PUBLIC HEALTH, VOL 33 | 2012年 / 33卷

关键词：

geographic information systems; epidemiologic methods; spatial distribution; geography; space-time clustering; GEOGRAPHIC INFORMATION-SYSTEMS; AMBIENT AIR-POLLUTION; LONG-TERM EXPOSURE; AMYOTROPHIC-LATERAL-SCLEROSIS; ACUTE MYOCARDIAL-INFARCTION; TIME CLUSTERING ANALYSES; SOLID-WASTE INCINERATOR; MALARIA INCIDENCE RATES; HEALTH-CARE FACILITIES; FAST-FOOD RESTAURANTS;

D O I：

10.1146/annurev-publhealth-031811-124655

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Understanding the impact of place on health is a key element of epidemiologic investigation, and numerous tools are being employed for analysis of spatial health-related data. This review documents the huge growth in spatial epidemiology, summarizes the tools that have been employed, and provides in-depth discussion of several methods. Relevant research articles for 2000-2010 from seven epidemiology journals were included if the study utilized a spatial analysis method in primary analysis (n = 207). Results summarized frequency of spatial methods and substantive focus; graphs explored trends over time. The most common spatial methods were distance calculations, spatial aggregation, clustering, spatial smoothing and interpolation, and spatial regression. Proximity measures were predominant and were applied primarily to air quality and climate science and resource access studies. The review concludes by noting emerging areas that are likely to be important to future spatial analysis in public health.

引用

页码：107 / +

页数：26

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