“…Time series forecasting models allow for early prediction of epidemics (Yang et al, 2015). There are several time series model methods that can be used to forecast the incidence of infectious diseases and have been widely utilized in this context (Aloufi et al, 2016;Kane et al, 2014;Kesorn et al, 2015;Wu et al, 2017;Zhang et al, 2016Zhang et al, , 2014. Recently, machine learning-based time series models have been effectively used for modelling incidence of infectious disease and forecasting problems in public health studies including support vector machines (SVMs) (Kesorn et al, 2015;Kisi, Parmar, Soni, & Demir, 2017;Zhang et al, 2014), random forest (RF) (Kane et al, 2014;Wu et al, 2017) and multivariate adaptive regression splines (MARSs) (Kisi et al, 2017).…”