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EpiCovDA: a mechanistic COVID-19 forecasting model with data assimilation

We introduce a minimalist outbreak forecasting model that combines data-driven parameter estimation with variational data assimilation. By focusing on the fundamental components of nonlinear disease transmission and representing data in a domain where model stochasticity simplifies into a process wi...

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Detalles Bibliográficos
Autores principales:	Biegel, Hannah R., Lega, Joceline
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cornell University 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132228/ https://www.ncbi.nlm.nih.gov/pubmed/34012991

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