Sep 10, 2023 · This paper estimated future deceased counts based on active and recovered cases individually and jointly.
Regression models take into account the causal variables but ARIMA models have found widespread and successful application in disease outbreak modelling. ARIMA ...
Nov 1, 2022 · This study demonstrated that the ARIMAX model has the potential to predict the number of COVID-19 cases by incorporating the most associated prognostic factors.
This paper estimated future deceased counts based on active and recovered cases individually and jointly.
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Oct 28, 2022 · Multiple linear regression models are widely used to predict the incidence of infectious diseases, and have the advantages of simple and fast ...
May 5, 2022 · An autoregressive integrated moving average (ARIMA) was used to predict COVID-19 cases based on Johns Hopkins epidemiology data. Between January ...
The aim of this study is to test how accurate the ARIMA best-fit model predictions were with the actual values reported after the entire time of the prediction ...
Mar 7, 2021 · ARIMA and Regression models are employed for forecasting, data being taken from John Hopkin University source for the timeline of 5-month in the year 2020.
Oct 23, 2024 · In this study, we utilized ARIMA and ARIMAX models to predict short-term trends in confirmed COVID-19 cases across different regions.
We propose an ensemble model integrating an autoregressive integrated moving average model (ARIMA) and a nonlinear autoregressive neural network (NAR).