Forecasting the patterns of COVID-19 and causal impacts of lockdown in top five affected countries using Bayesian Structural Time Series Models

BACKGROUND: There are numerous studies dealing with analysis for the future patterns of COVID-19 in different countries using conventional time series models. This study aims to provide more flexible analytical framework that decomposes the important components of the time series, incorporates the p...

Descripción completa

Detalles Bibliográficos
Autor principal: Feroze, Navid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420989/
https://www.ncbi.nlm.nih.gov/pubmed/32834662
http://dx.doi.org/10.1016/j.chaos.2020.110196

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420989/
https://www.ncbi.nlm.nih.gov/pubmed/32834662
http://dx.doi.org/10.1016/j.chaos.2020.110196

Ejemplares similares