Evaluating short-term forecasting of COVID-19 cases among different epidemiological models under a Bayesian framework

BACKGROUND: Forecasting of COVID-19 cases daily and weekly has been one of the challenges posed to governments and the health sector globally. To facilitate informed public health decisions, the concerned parties rely on short-term daily projections generated via predictive modeling. We calibrate st...

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Detalles Bibliográficos
Autores principales: Li, Qiwei, Bedi, Tejasv, Lehmann, Christoph U, Xiao, Guanghua, Xie, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928884/
https://www.ncbi.nlm.nih.gov/pubmed/33604654
http://dx.doi.org/10.1093/gigascience/giab009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928884/
https://www.ncbi.nlm.nih.gov/pubmed/33604654
http://dx.doi.org/10.1093/gigascience/giab009

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