Short-Term Forecasting of Daily Confirmed COVID-19 Cases in Malaysia Using RF-SSA Model

Novel coronavirus (COVID-19) was discovered in Wuhan, China December 2019, and has affected millions of lives worldwide. On 29th April 2020, Malaysia reported more than 5,000 COVID-19 cases; the second highest Southeast Asian region after Singapore. Recently, a forecasting model developed to measure predict cases on daily basis for next 10 days using previously-confirmed cases. A Recurrent Forecasting-Singular Spectrum Analysis (RF-SSA) is proposed by establishing L ET parameters via several tests. The advantage this it would discriminate noise time series trend produce significant results. RF-SSA assessment based official data released World Health Organization (WHO) confirmed between 30th 31st May, 2020. These results revealed that parameter = 5 (T/20) indeed suitable short-time outbreak data, while appropriate number eigentriples integral as influenced Evidently, had over-forecasted 0.36%. This signifies competence predicting impending Nonetheless, an enhanced algorithm should be higher effectivity capturing any extreme changes.