Globally local: Hyper-local modeling for accurate forecast of COVID-19

IMPORTANCE: Assumption of a well-mixed population during modeling is often erroneously made without due analysis of its validity. Ignoring the importance of the geo-spatial granularity at which the data is collected could have significant implications on the quality of forecasts and the actionable c...

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Detalles Bibliográficos
Autores principales: Gopalakrishnan, Vishrawas, Pethe, Sayali, Kefayati, Sarah, Srinivasan, Raman, Hake, Paul, Deshpande, Ajay, Liu, Xuan, Hoang, Etter, Davila, Marbelly, Bianco, Simone, Kaufman, James H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518202/
https://www.ncbi.nlm.nih.gov/pubmed/34688165
http://dx.doi.org/10.1016/j.epidem.2021.100510

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518202/
https://www.ncbi.nlm.nih.gov/pubmed/34688165
http://dx.doi.org/10.1016/j.epidem.2021.100510

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