Identifying the measurements required to estimate rates of COVID-19 transmission, infection, and detection, using variational data assimilation

We demonstrate the ability of statistical data assimilation (SDA) to identify the measurements required for accurate state and parameter estimation in an epidemiological model for the novel coronavirus disease COVID-19. Our context is an effort to inform policy regarding social behavior, to mitigate...

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Detalles Bibliográficos
Autores principales: Armstrong, Eve, Runge, Manuela, Gerardin, Jaline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2020
Materias:
Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605798/
https://www.ncbi.nlm.nih.gov/pubmed/33163738
http://dx.doi.org/10.1016/j.idm.2020.10.010

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