Predictive accuracy of a hierarchical logistic model of cumulative SARS-CoV-2 case growth until May 2020

BACKGROUND: Infectious disease predictions models, including virtually all epidemiological models describing the spread of the SARS-CoV-2 pandemic, are rarely evaluated empirically. The aim of the present study was to investigate the predictive accuracy of a prognostic model for forecasting the deve...

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Detalles Bibliográficos
Autor principal: Kriston, Levente
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668026/
https://www.ncbi.nlm.nih.gov/pubmed/33198633
http://dx.doi.org/10.1186/s12874-020-01160-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668026/
https://www.ncbi.nlm.nih.gov/pubmed/33198633
http://dx.doi.org/10.1186/s12874-020-01160-2

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