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Sequential data assimilation of the stochastic SEIR epidemic model for regional COVID-19 dynamics
2020-04-17
epidemiology
Title + abstract only
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AO_SCPLOWBSTRACTC_SCPLOWNewly emerging pandemics like COVID-19 call for predictive models to implement precisely tuned responses to limit their deep impact on society. Standard epidemic models provide a theoretically well-founded dynamical description of disease incidence. For COVID-19 with infectiousness peaking before and at symptom onset, the SEIR model explains the hidden build-up of exposed individuals which creates challenges for containment strategies. However, spatial heterogeneity raise...
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