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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Detalles Bibliográficos
Autor principal: Feroze, Navid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2021
Materias:
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
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826158/
https://www.ncbi.nlm.nih.gov/pubmed/33521407
http://dx.doi.org/10.1016/j.idm.2021.01.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826158/
https://www.ncbi.nlm.nih.gov/pubmed/33521407
http://dx.doi.org/10.1016/j.idm.2021.01.005

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