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A Review of Spatial Methods in Epidemiology, 2000–2010
Journal article   Open access   Peer reviewed

A Review of Spatial Methods in Epidemiology, 2000–2010

Amy H Auchincloss, Samson Y Gebreab, Christina Mair and Ana V. Diez Roux
Annual review of public health, v 33(1)
Apr 2012
PMID: 22429160
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1146/annurev-publhealth-031811-124655View
Published, Version of Record (VoR) Open

Abstract

geographic information systems epidemiologic methods geography space-time clustering spatial distribution
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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228 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Public, Environmental & Occupational Health
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