Real-time forecasting of COVID-19 spread according to protective behavior and vaccination: autoregressive integrated moving average models

Real-time forecasting of COVID-19 spread according to protective behavior and vaccination: autoregressive integrated moving average models

Abstract Background Mathematical and statistical models are used to predict trends in epidemic spread and determine the effectiveness of control measures. Automatic regressive integrated moving average (ARIMA) models are used for time-series forecasting, but only few models of the 2019 coronavirus d...

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Bibliographic Details
Main Authors: Chieh Cheng, Wei-Ming Jiang, Byron Fan, Yu-Chieh Cheng, Ya-Ting Hsu, Hsiao-Yu Wu, Hsiao-Han Chang, Hsiao-Hui Tsou
Format: Article
Language:English
Published: BMC 2023-08-01
Series:BMC Public Health
Subjects:
COVID-19
Forecasting
regARIMA
Vaccines
Nonpharmaceutical intervention
Online Access:https://doi.org/10.1186/s12889-023-16419-8

Internet

https://doi.org/10.1186/s12889-023-16419-8

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