Cargando…
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...
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: | |
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 |
Ejemplares similares
-
A novel sub-epidemic modeling framework for short-term forecasting epidemic waves
por: Chowell, Gerardo, et al.
Publicado: (2019) -
Financial Forecasting, Analysis and Modelling: A Framework for Long-Term Forecasting
por: Samonas, Michael
Publicado: (2015) -
Short-term forecasting of the coronavirus pandemic
por: Doornik, Jurgen A., et al.
Publicado: (2022) -
Short-term forecasts of expected deaths
por: Rizzi, Silvia, et al.
Publicado: (2021) -
Bayesian forecasting and dynamic models
por: West, Mike, et al.
Publicado: (1989)