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

Authors

985

  1. AL
    Antonio López‐Quílez

    Universitat de València, Spain

    4 publications · 137 citations

    4

    h-index

  2. MD
    M. D. Ugarte

    Universidad Pública de Navarra (UPNA), Spain

    3 publications · 61 citations

    3

    h-index

  3. AL
    Andrew Lawson

    Medical University of South Carolina, United States

    3 publications · 150 citations

    3

    h-index

  4. OB
    Olaf Berke

    University of Guelph, Canada

    3 publications · 98 citations

    3

    h-index

  5. IG
    I Gede Nyoman Mindra Jaya

    Padjadjaran University, Indonesia

    3 publications · 108 citations

    3

    h-index

1–5 of 985

Venues

  1. Statistics in Medicine

    17 publications · 1.2K citations

    15

    h-index

  2. PLoS ONE

    8 publications · 390 citations

    9

    h-index

  3. PLoS neglected tropical diseases

    5 publications · 258 citations

    5

    h-index

  4. International Journal of Health Geographics

    4 publications · 185 citations

    4

    h-index

  5. Scientific Reports

    3 publications · 53 citations

    4

    h-index

1–5