Forecasting and data visualization of dengue spread in the Philippine Visayas island group

Dengue is a rapidly spreading, mosquito-borne viral disease with an estimated incidence of 50 million cases occurring annually around the world [1]. In the Philippines, from January to August 2015 alone, 55,079 cases were reported [3]. Dengue continues to be a tremendous health issue due to several implementation [4], and environmental health factors [2]. The study proposes the use of an Artificial Neural Network (ANN) to accurately forecast future dengue cases with input parameters of previous month's dengue cases, and averaged temperature and rainfall with the highest correlation value of 0.80. An online platform was implemented to contain all records of dengue cases and weather data, and the neural network was integrated into the website. The data visualization of the predicted dengue cases is generated through the use of dot density and chloropleth maps that are then displayed on the online platform to allow for the general public, future researchers, government, and health officials to access, analyze, and interpret the predicted dengue cases as one sees fit.