Spatial modeling in environmental and public health research

Michael Jerrett; Sara Gale; Caitlin Kontgis

doi:10.3390/ijerph7041302

Spatial modeling in environmental and public health research

Int J Environ Res Public Health. 2010 Apr;7(4):1302-29. doi: 10.3390/ijerph7041302. Epub 2010 Mar 26.

Authors

Michael Jerrett¹, Sara Gale, Caitlin Kontgis

Affiliation

¹ Division of Environmental Health Science, University of California, Berkeley, 710 University Hall (Office and GIS Lab), Berkeley, CA 94720, USA. jerrett@berkeley.edu

Abstract

THIS PAPER HAS TWO AIMS: (1) to summarize various geographic information science methods; and (2) to provide a review of studies that have employed such methods. Though not meant to be a comprehensive review, this paper explains when certain methods are useful in epidemiological studies and also serves as an overview of the growing field of spatial epidemiology.

Keywords: GIS; air pollution; autocorrelation; overlay; remote sensing; spatial modelling; spatial regression.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.
Review

MeSH terms

Epidemiologic Studies
Geographic Information Systems*
Models, Theoretical*
Public Health

Abstract

Publication types

MeSH terms

Grants and funding