Disease Forecasting Models

Disease Forecasting Models is a computational framework that belongs to the class of predictive modeling techniques in public health informatics, distinguished by its specific application to projecting the future incidence, spread, or burden of diseases based on historical, epidemiological, and environmental data.

1.1K

Publications

57.4K

Citations

6.4K

Authors

1.8K

Institutions

Publications per year

2017–2026

840

Authors

6.4K

  1. JB
    Johannes Bracher

    Karlsruhe Institute of Technology, Germany

    11 publications · 675 citations

    11

    h-index

  2. AS
    Ajitesh Srivastava

    University of Southern California, United States

    10 publications · 476 citations

    10

    h-index

  3. NG
    Nicholas G Reich

    University of Massachusetts Amherst, United States

    11 publications · 1.4K citations

    10

    h-index

  4. MM
    Madhav Marathe

    Virginia Tech, United States

    9 publications · 435 citations

    9

    h-index

  5. DO
    Dave Osthus

    Los Alamos National Laboratory, United States

    9 publications · 912 citations

    9

    h-index

1–5 of 6.4K

Venues

  1. PLoS ONE

    48 publications · 2.8K citations

    28

    h-index

  2. Scientific Reports

    38 publications · 1.4K citations

    24

    h-index

  3. 21

    h-index

  4. medRxiv

    Repository · 36 publications · 1.2K citations

    19

    h-index

  5. BMC Infectious Diseases

    18 publications · 1.1K citations

    16

    h-index

1–5