Multivariate Disease Mapping
Multivariate Disease Mapping is a statistical modeling framework within Bayesian disease mapping that jointly analyzes multiple related diseases or health outcomes across spatial units to improve estimation accuracy and uncover shared spatial patterns, distinguishing itself from univariate approaches by accounting for inter-disease correlations and borrowing strength across outcomes.
19
Publications
733
Citations
39
Authors
29
Institutions
Publications per year
2017–2026
6
Variants
Multivariate Spatial Disease Mapping
Parents
19
A general modelling framework for multivariate disease mapping
Miguel A. Martínez‐Beneito · Biometrika · 2013 · 78 citations
1–5 of 19
39
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Spain
4 publications · 181 citations
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4
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3
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2
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2
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1–5 of 39
29

University of British Columbia
Vancouver, Canada
4 h-index
4 publications
165 citations
Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana
Valencia, Spain
4 h-index
4 publications
181 citations
Child and Family Research Institute
Vancouver, Canada
3 h-index
3 publications
149 citations

Universidad Pública de Navarra (UPNA)
Pamplona, Spain
2 h-index
7 publications
125 citations
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
Madrid, Spain
2 h-index
3 publications
57 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
88 citations
Instituto de Salud Carlos III
Madrid, Spain
2 h-index
2 publications
82 citations

University of Minnesota
Minneapolis, United States
1 h-index
3 publications
330 citations
1–8 of 29
4 publications · 137 citations
4
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3 publications · 185 citations
3
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Repository · 2 publications · 59 citations
2
h-index
1 publications · 27 citations
1
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1 publications · 78 citations
1
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1–5