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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...

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Detalhes bibliográficos
Publicado no:Chaos Solitons Fractals
Autor principal: Feroze, Navid
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier Ltd. 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7420989/
https://ncbi.nlm.nih.gov/pubmed/32834662
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chaos.2020.110196
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