Selected article for: "current data and International license"
Author: Ralf Engbert; Maximilian M. Rabe; Reinhold Kliegl; Sebastian Reich
Title: Sequential data assimilation of the stochastic SEIR epidemic model for regional COVID-19 dynamics
  • Document date: 2020_4_17
    • ID: 855am0mv_16
    Snippet: The ongoing worldwide spread of the new coronavirus exerts enormous pressure on health systems, societies and governments. Therefore, predicting the epidemic dynamics under the influence of nonpharmaceutical interventions (NPI) is an important problem from a data science and mathematical 4 . CC-BY 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. m.....
    Document: The ongoing worldwide spread of the new coronavirus exerts enormous pressure on health systems, societies and governments. Therefore, predicting the epidemic dynamics under the influence of nonpharmaceutical interventions (NPI) is an important problem from a data science and mathematical 4 . CC-BY 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. modeling perspective [19] . The motivation of the current work was to explore the potential of sequential data assimilation [20] for a regional epidemic model as a forecasting tool.

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