Case Count Forecasting

Case Count Forecasting is a methodological framework within epidemic forecasting that specifically involves the prediction of the number of new disease cases over a defined future time horizon using statistical or computational models applied to temporal, spatial, or epidemiological data.

72

Publications

3.7K

Citations

264

Authors

142

Institutions

Publications per year

2017–2026

60

Authors

264

  1. PM
    Pierre Magal

    Institut de Mathématiques de Bordeaux, France

    8 publications · 512 citations

    8

    h-index

  2. GF
    Glenn F. Webb

    Vanderbilt University, United States

    6 publications · 327 citations

    6

    h-index

  3. OS
    Ousmane Seydi

    Institut de Mathématiques de Bordeaux, France

    4 publications · 287 citations

    4

    h-index

  4. JS
    John S. Brownstein

    Boston Children's Hospital, United States

    4 publications · 430 citations

    4

    h-index

  5. AW
    Anne W. Rimoin

    University of California, Los Angeles, United States

    3 publications · 153 citations

    3

    h-index

1–5 of 264

Venues

  1. medRxiv

    Repository · 7 publications · 232 citations

    7

    h-index

  2. PLoS ONE

    5 publications · 130 citations

    5

    h-index

  3. Infectious Disease Modelling

    4 publications · 743 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 25 citations

    2

    h-index

  5. SSRN Electronic Journal

    Repository · 2 publications · 33 citations

    2

    h-index

1–5