Table 1.

Research work found in the literature for disease prediction using ARIMA/hybrid models.

Method (s)/Type of Modeling	Pandemic/Epidemic/Endemic	The research found in the literature
ARIMA	Malaria	Gaudart et al., (Gaudart et al., 2009)
ARIMA, Artificial Neural Networks (ANN)	HAV	Guan et al., (Guan et al., 2004)
ARIMA	SARS	Earnest et al., (Earnest et al., 2005)
ARIMA, Seasonal Autoregressive Integrated Moving Average (SARIMA)	Influenza	He et al., (He & Tao, 2018); Chen et al., (Chen et al., 2020)
Multivariate Poisson Regression (MPR), ARIMA, and ANN	Dengue Fever	Polwiang (Polwiang, 2020)
Random Forest (RF), ARIMA/X Models	Infectious Diarrhea	Fang et al., (Fang et al., 2020)
Elman Recurrent Neural Networks (ERNN), ARIMA, and Jordan Neural Networks (JNN)	Brucellosis	Wu et al., (Wu et al., 2019)
ARIMA (or) SARIMA-NAR (Nonlinear Autoregressive Network) (or) hybrid model	Covid −19	Ceylan (Ceylan, 2020); Alzahrani et al. (Alzahrani et al., 2020); Perone (Perone, 2020); Kumar et al. (Kumar et al., 2020); Sato (Sato, 2013); Wang et al. (Wang et al., 2018b); Benvenuto et al. (Benvenuto et al., 2020); Hernandez-Matamoros et al. (Hernandez-Matamoros et al., 2020); Kufel (Kufel, 2020)