Relative Risk Mapping
Relative Risk Mapping is a Bayesian spatial epidemiological method that estimates and visualizes geographic variations in disease risk by modeling the ratio of observed to expected disease counts relative to a reference population, thereby identifying areas with elevated or reduced risk after adjusting for covariates and spatial dependence.
196
Publications
10.8K
Citations
985
Authors
532
Institutions
Publications per year
2017–2026
64
Parents
196
1–5 of 196
985
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532
Inserm
Paris, France
8 h-index
41 publications
1.9K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
17 publications
726 citations
University of Pavia
Pavia, Italy
5 h-index
8 publications
1.6K citations

Beijing Normal University
Beijing, China
4 h-index
13 publications
270 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
4 h-index
10 publications
164 citations
Universitat de València
Valencia, Spain
4 h-index
10 publications
344 citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
4 h-index
9 publications
192 citations
The University of Texas at Austin
Austin, United States
3 h-index
10 publications
1.3K citations
1–8 of 532
17 publications · 1.2K citations
15
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8 publications · 390 citations
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5 publications · 258 citations
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4 publications · 185 citations
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3 publications · 53 citations
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