Risk Surface Modeling is a statistical methodology that characterizes the spatial distribution of disease risk across a geographical domain by estimating a continuous surface of relative or absolute risk, differentiating it from discrete areal models through its capacity to capture fine-scale spatial variation and smooth gradients in disease occurrence.
13
Publications
1.4K
Citations
38
Authors
26
Institutions
Publications per year
2017–2026
0
Parents
Publications
13
Prospective Hot-Spotting: The Future of Crime Mapping?
Kate Bowers · The British Journal of Criminology · 2004 · 312 citations · Full text
Boundary detection in disease mapping studies
Duncan Lee, Richard Mitchell · Biostatistics · 2011 · 83 citations · Full text
1–5 of 13
Authors
38
- DL
2
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- JS
1
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- WK
1
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- MA
1
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- AR
1
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1–5 of 38
Institutions
26
University of Glasgow
Glasgow, United Kingdom
2 h-index
3 publications
233 citations
Lancaster University
Lancaster, United Kingdom
1 h-index
2 publications
508 citations
University of Udine
Udine, Italy
1 h-index
1 publications
34 citations
University College London
London, United Kingdom
1 h-index
1 publications
55 citations
Lawrence Livermore National Laboratory
Livermore, United States
1 h-index
1 publications
85 citations
University of Toronto
Toronto, Canada
1 h-index
4 publications
56 citations
University of California, Berkeley
Berkeley, United States
1 h-index
3 publications
255 citations
University Health Network
Toronto, Canada
1 h-index
2 publications
28 citations
1–8 of 26
Venues
- Biometrical Journal
1 publications · 81 citations
1
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- Journal of the Royal Statistical Society Series A (Statistics in Society)
1 publications · 267 citations
1
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- Risk Analysis
1 publications · 38 citations
1
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- Journal of the Royal Statistical Society Series C (Applied Statistics)
1 publications · 67 citations
1
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- Statistics in Medicine
1 publications · 254 citations
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1–5