Prevalence Estimation

Prevalence Estimation is a statistical inference method in disease surveillance analytics that quantifies the proportion of a population affected by a specific disease or condition at a given time, distinguished from incidence or predictive modeling approaches by its focus on cross-sectional disease burden assessment.

11.1K

Publications

669.1K

Citations

57.4K

Authors

9.2K

Institutions

Publications per year

2017–2026

3.4K

Authors

57.4K

  1. KH
    Kyungdo Han

    Catholic University of Korea, South Korea

    14 publications · 550 citations

    14

    h-index

  2. JB
    Jost B. Jonas

    Heidelberg University, Germany

    16 publications · 1.3K citations

    13

    h-index

  3. FF
    Flávio Fernando Demarco

    Universidade Federal de Pelotas, Brazil

    13 publications · 357 citations

    13

    h-index

  4. VM
    Viswanathan Mohan

    Madras Diabetes Research Foundation, India

    14 publications · 10.6K citations

    13

    h-index

  5. DC
    Déborah Carvalho Malta

    Universidade Federal de Minas Gerais, Brazil

    14 publications · 547 citations

    12

    h-index

1–5 of 57.4K

Venues

  1. PubMed

    Repository · 889 publications · 37.1K citations

    82

    h-index

  2. PLoS ONE

    333 publications · 18K citations

    66

    h-index

  3. BMC Public Health

    197 publications · 13.7K citations

    59

    h-index

  4. Diabetes Care

    76 publications · 8K citations

    50

    h-index

  5. PEDIATRICS

    47 publications · 7.6K citations

    41

    h-index

1–5