A follow up report validating long term predictions of the COVID-19 epidemic in the UK using a dynamic causal model
BackgroundThis paper asks whether Dynamic Causal modelling (DCM) can predict the long-term clinical impact of the COVID-19 epidemic. DCMs are designed to continually assimilate data and modify model parameters, such as transmissibility of the virus, changes in social distancing and vaccine coverage-...
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| Main Authors: | , |
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| Format: | Book |
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Frontiers Media S.A.,
2024-09-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |