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,...

Descripción completa

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

Internet

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

Ejemplares similares