Author: Peiliang SUN; Kang Li
Title: An SEIR Model for Assessment of Current COVID-19 Pandemic Situation in the UK Document date: 2020_4_17
ID: 9mdxid0u_38
Snippet: In this paper, a modified SEIR model has been proposed to allow the state transitions to be governed by the cumulative probability vector rather than by an averaged value, so the COVID-19 data can be utilised to reflect the distribution characteristics over a long period of time. Time variant parameters such as the number of imported cases and infection rate are also introduced and designed to reflect the changes introduced by adopting interventi.....
Document: In this paper, a modified SEIR model has been proposed to allow the state transitions to be governed by the cumulative probability vector rather than by an averaged value, so the COVID-19 data can be utilised to reflect the distribution characteristics over a long period of time. Time variant parameters such as the number of imported cases and infection rate are also introduced and designed to reflect the changes introduced by adopting intervention measures such as reducing the number of international flights and the lockdown measures.
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