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_27
Snippet: The SEIR epidemic model is a four-compartment model with susceptibles, which are able to contract the disease, exposed, those who are infected but not yet infectious, infectious individual, and recovered individuals who are immune. The model is typically formulated as a system of ordinary differential equations (ODE), i.e.,á¹.....
Document: The SEIR epidemic model is a four-compartment model with susceptibles, which are able to contract the disease, exposed, those who are infected but not yet infectious, infectious individual, and recovered individuals who are immune. The model is typically formulated as a system of ordinary differential equations (ODE), i.e.,á¹
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