Mobility-informed Forecasting

Mobility-Informed Forecasting is a forecasting framework that integrates human mobility data as a critical input to model and predict the spatial-temporal dynamics of disease transmission in epidemic outbreaks.

36

Publications

1.4K

Citations

161

Authors

84

Institutions

Publications per year

2017–2026

34

Authors

161

  1. DB
    Donal Bisanzio

    RTI International, United States

    2 publications · 82 citations

    2

    h-index

  2. AG
    Alain Goriely

    University of Oxford, United Kingdom

    2 publications · 74 citations

    2

    h-index

  3. DR
    David Rügamer

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 91 citations

    2

    h-index

  4. CF
    Cornelius Fritz

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 91 citations

    2

    h-index

  5. MU
    Moritz U. G. Kraemer

    University of Oxford, United Kingdom

    2 publications · 82 citations

    2

    h-index

1–5 of 161

Venues

  1. Scientific Reports

    3 publications · 228 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 40 citations

    2

    h-index

  3. PLoS ONE

    2 publications · 39 citations

    2

    h-index

  4. medRxiv

    Repository · 2 publications · 31 citations

    2

    h-index

  5. Data & Policy

    1 publications · 16 citations

    1

    h-index

1–5