Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Surprising findings on what influences unintended pregnancy from Wise, Geronimus and Smock

Recommendations on how to reduce unintended racial/ethnic discrimination resulting from ban-the-box policies cites Starr's work

Axinn says data show incidents of sexual assault start at 'very young age'

More News

Highlights

Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

More Highlights

Next Brown Bag

Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"

A Review of Spatial Methods in Epidemiology, 2000-2010

Archived Abstract of Former PSC Researcher

Auchincloss, A., S. Gebreab, C. Mair, and Ana Diez Roux. 2012. "A Review of Spatial Methods in Epidemiology, 2000-2010." Annual Review of Public Health, 33: 107-122.

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.

DOI:10.1146/annurev-publhealth-031811-124655 (Full Text)

Browse | Search : All Pubs | Next