Time Series Analysis for Modeling the Transmission of Dengue Disease

25 + Years of Dengue in Kerala, India: A comprehensive time series analysis and future projections

“…A time series analysis using classical decomposition is done to understand various patterns and model the underlying components of a time series dataset. A time series includes trend (long-term variation in the series), seasonal (variation in the series at regular periods) and irregular/random (remainder after eliminating trend and seasonality of the series) components [11] . In an additive decomposition, where yt is the data, St is the seasonal component, Tt is the trend-cycle component, and Rt is the remainder component, all at period t, is formulated as:…”