Spatial Exposure Modeling
Spatial Exposure Modeling is a geostatistical methodological framework that characterizes the geographical distribution of air pollutant concentrations to estimate individual or population-level exposures in epidemiological studies, distinguished by its integration of spatial correlation, environmental covariates, and monitoring data to account for geographic variability in exposure assessment.
645
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42K
Citations
2.6K
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967
Institutions
Publications per year
2017–2026
287
Parents
645
Marloes Eeftens, Rob Beelen, Kees de Hoogh et al. · Environmental Science & Technology · 2012 · 1.3K citations · Full text
Rob Beelen, Gerard Hoek, Danielle Vienneau et al. · Atmospheric Environment · 2013 · 1K citations · Full text
Public Health, Environmental Sciences, Land-use Planning +17
Spatial Analysis of Air Pollution and Mortality in Los Angeles
Michael Jerrett, Richard T. Burnett, Renjun Ma et al. · Epidemiology · 2005 · 991 citations
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University of Washington
Seattle, United States
32 h-index
148 publications
20.3K citations
Harvard University
Cambridge, United States
31 h-index
120 publications
11.6K citations

Imperial College London
London, United Kingdom
24 h-index
79 publications
10.4K citations
Utrecht University
Utrecht, The Netherlands
22 h-index
93 publications
15.2K citations
University of California, Berkeley
Berkeley, United States
21 h-index
34 publications
6.8K citations
Emory University
Atlanta, United States
19 h-index
60 publications
8.3K citations
Swiss Tropical and Public Health Institute
Allschwil, Switzerland
18 h-index
52 publications
10.8K citations
Health Canada
Ottawa, Canada
18 h-index
33 publications
7.2K citations
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EHP · 44 publications · 3.5K citations
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38 publications · 5.2K citations
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34 publications · 3K citations
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28 publications · 1.5K citations
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