Mapping Disease at an Approximated Individual Level Using Aggregate Data: A Case Study of Mapping New Hampshire Birth Defects

Mapping Disease at an Approximated Individual Level Using Aggregate Data: A Case Study of Mapping New Hampshire Birth Defects

Background: Limited by data availability, most disease maps in the literature are for relatively large and subjectively-defined areal units, which are subject to problems associated with polygon maps. High resolution maps based on objective spatial units are needed to more precisely detect associati...

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Bibliographic Details
Main Authors: Eugene Demidenko, Margaret Karagas, Jiang Gui, Tracy Onega, Judy Rees, Kevin Mwenda, Akikazu Onda, Xun Shi, Stephanie Miller, John Moeschler
Format: Article
Language:English
Published: MDPI AG 2013-09-01
Series:International Journal of Environmental Research and Public Health
Subjects:
birth defects
aggregate data
disaggregation
Monte Carlo
disease mapping
New Hampshire
Online Access:http://www.mdpi.com/1660-4601/10/9/4161

Internet

http://www.mdpi.com/1660-4601/10/9/4161

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