Aedes Entomological Prediction Analytical Dashboard Application for Dengue Outbreak Surveillance

Entomological surveillance is used in majority of the countries around the world. The main objective of this process is to monitor, control and prevent the occurrence of a dengue outbreak. In Malaysia, Entomology and Pest Unit (EPU) from the State Health Office is a local division that is responsible for performing the dengue surveillance operations. There exists human-related risks due to the procedures of predicting cryptic breeding sites and upcoming dengue outbreak locations are done manually. This paper discusses the implementation and results of Aedes Entomological Predictive Analytic Dashboard (AePAD) application. The AePAD multi-platform application provides several features especially historical ovitrap data retrieval and visualization to predict the possible cryptic breeding sites of Aedes mosquitoes and upcoming dengue outbreak locations prediction using Deep Neural Network (DNN). It is hoped that the application will be able to help the EPU team in performing better prevention and strategic control operations, thus enhancing the existing dengue surveillance systems and minimizing future dengue outbreaks in Malaysia.