Journal
ANNUAL REVIEW OF PUBLIC HEALTH, VOL 33
Volume 33, Issue -, Pages 107-+Publisher
ANNUAL REVIEWS
DOI: 10.1146/annurev-publhealth-031811-124655
Keywords
geographic information systems; epidemiologic methods; spatial distribution; geography; space-time clustering
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Funding
- NHLBI NIH HHS [R01 HL071759, R01HL071759] Funding Source: Medline
- NIMHD NIH HHS [P60MD002249, P60 MD002249] Funding Source: Medline
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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.
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