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_54
Snippet: . 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. We found that our results were relatively insensitive to the choice of the measurement error variance Ï appearing in (12) and (13) . At the same time, we emphasise that the errors in the reported cumulative numbers of infected individuals are complex, may vary over time, and will certainly .....
Document: . 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. We found that our results were relatively insensitive to the choice of the measurement error variance Ï appearing in (12) and (13) . At the same time, we emphasise that the errors in the reported cumulative numbers of infected individuals are complex, may vary over time, and will certainly impact on the inferred parameters. The same applies to the unknown initial model states X(t 0 ) = (S(t 0 ), E(t 0 ), I(t 0 ), R(t 0 )) T and their uncertainties.
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