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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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2021-01-01
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| Series: | Infectious Disease Modelling |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468042721000087 |