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Model-based ensembles: Lessons learned from retrospective analysis of COVID-19 infection forecasts across 10 countries

Mathematical models of different types and data intensities are highly used by researchers, epidemiologists, and national authorities to explore the inherently unpredictable progression of COVID-19, including the effects of different non-pharmaceutical interventions. Regardless of model complexity,...

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Detalles Bibliográficos
Autores principales:	Drews, Martin, Kumar, Pavan, Singh, Ram Kumar, De La Sen, Manuel, Singh, Sati Shankar, Pandey, Ajai Kumar, Kumar, Manoj, Rani, Meenu, Srivastava, Prashant Kumar
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Authors. Published by Elsevier B.V. 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479318/ https://www.ncbi.nlm.nih.gov/pubmed/34592277 http://dx.doi.org/10.1016/j.scitotenv.2021.150639

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