Bayesian Disease Mapping
Bayesian Disease Mapping is a statistical methodology within spatial epidemiology that uses Bayesian hierarchical models to estimate and visualize geographical variations in disease risk while accounting for uncertainty and incorporating prior information.
225
Publications
15.2K
Citations
912
Authors
473
Institutions
Publications per year
2017–2026
72
Parents
Children
Area-level Disease Incidence ModelsAreal Unit ModellingBesag-york-mollié ModelsDisease Cluster SmoothingGeographically Weighted Disease MappingIntrinsic Conditional Autoregressive ModelsJoint Spatial-temporal ModelsMarkov Chain Monte Carlo InferenceMultilevel Spatial Hierarchical ModelsMultivariate Disease Mapping
225
Bayesian refinement of association signals for 14 loci in 3 common diseases
Julian Maller, Gil McVean, Jake Byrnes et al. · Nature Genetics · 2012 · 553 citations · Full text
1–5 of 225
912
Swiss Tropical and Public Health Institute, Switzerland
11 publications · 695 citations
11
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11
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9
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8
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7
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1–5 of 912
473

Imperial College London
London, United Kingdom
14 h-index
37 publications
4.6K citations
University of Oxford
Oxford, United Kingdom
13 h-index
82 publications
29.1K citations
Swiss Tropical and Public Health Institute
Allschwil, Switzerland
12 h-index
34 publications
2K citations

University of British Columbia
Vancouver, Canada
11 h-index
16 publications
592 citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
11 h-index
19 publications
2.1K citations

Universidad Pública de Navarra (UPNA)
Pamplona, Spain
9 h-index
29 publications
1.1K citations
University of Pavia
Pavia, Italy
8 h-index
22 publications
1.9K citations
Child and Family Research Institute
Vancouver, Canada
8 h-index
9 publications
315 citations
1–8 of 473
24 publications · 1.9K citations
21
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10 publications · 296 citations
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10 publications · 362 citations
10
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10 publications · 1.1K citations
10
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7 publications · 386 citations
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