Assessing the future progression of COVID-19 in Iran and its neighbors using Bayesian models

BACKGROUND: The short term forecasts regarding different parameters of the COVID-19 are very important to make informed decisions. However, majority of the earlier contributions have used classical time series models, such as auto regressive integrated moving average (ARIMA) models, to obtain the sa...

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Detalhes bibliográficos
Publicado no:Infect Dis Model
Autor principal: Feroze, Navid
Formato: Artigo
Idioma:Inglês
Publicado em: KeAi Publishing 2021
Assuntos:
Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7826158/
https://ncbi.nlm.nih.gov/pubmed/33521407
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.idm.2021.01.005
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