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GPS-based Dengue Risk Index App
Abstract
Our idea is to develop GPS-based dengue risk index app which is mainly used to predict the outburst of dengue diseases in user’s location. The prediction is based on analysing climatic condition. The climatic parameters that are used in analysis are temperature, rainfall and humidity. Linear regression algorithm is used to extrapolate in the multidimensional space to predict the threat of dengue exploration at user’s location. The dengue risk index score will indicate and alert the user to take some immediate precautionary measures to prevent from dengue infection.
Cite this Article Chitra P, Pavithran P, Saranya V, et al. GPS-based Dengue Risk Index App. Journal of Computer Technology & Applications. 2018; 9(1): 12–16p.
Keywords
Linear regression, temperature, humidity, rainfall, dengue risk index
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