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

Authors

912

  1. PV
    Penelope Vounatsou

    Swiss Tropical and Public Health Institute, Switzerland

    11 publications · 695 citations

    11

    h-index

  2. YC
    Ying C. MacNab

    University of British Columbia, Canada

    11 publications · 430 citations

    11

    h-index

  3. MD
    M. D. Ugarte

    Universidad Pública de Navarra (UPNA), Spain

    9 publications · 335 citations

    9

    h-index

  4. JU
    Jürg Utzinger

    Swiss Tropical and Public Health Institute, Switzerland

    8 publications · 511 citations

    8

    h-index

  5. TG
    T. Goicoa

    Universidad Pública de Navarra (UPNA), Spain

    7 publications · 281 citations

    7

    h-index

1–5 of 912

Venues

  1. Statistics in Medicine

    24 publications · 1.9K citations

    21

    h-index

  2. Geospatial health

    10 publications · 296 citations

    10

    h-index

  3. PLoS ONE

    10 publications · 362 citations

    10

    h-index

  4. PLoS neglected tropical diseases

    10 publications · 1.1K citations

    10

    h-index

  5. Environmetrics

    7 publications · 386 citations

    7

    h-index

1–5