A Machine Learning Approach for Predicting Dengue Outbreak

Dengue, well known as a deadly mosquito disease, is speedily spreading around the globe. The transmission cycle of Dengue virus is highly supported by the Temperature, Relative Humidity and Rainfall conditions as these factors promote its growth and habitat. Till date, there is no vaccination or medication available for Dengue fever. In lack of medical support, the only way to prevent Dengue is by controlling the spread of its vector. In this study, a Hidden Markov Model (HMM) is proposed for Dengue outbreak prediction taking into account the data set of previous 10 years. It elaborates the firm relationship of the Dengue outbreak and meteorological factors. The results obtained from the model predicts the outbreak with accuracy of approx- imately 93.38%.This model can be successfully implemented for control and prevention of dengue outbreak.