Paper Title
DECISION SUPPORT SYSTEM FOR DENGUE FEVER WARNING AND PREDICTION

Abstract
Abstract - So far, the dengue fever is an infectious disease and there is no cure. With global warming, climate change, and the prevalence of international tourism, the dengue fever epidemic in Southeast Asian countries has not slowed down, but it has become more serious. The dengue virus spreads with Aedes mosquitoes, causing the epidemic to become uncontrollable situations which people fear. In the past, the local government in Taiwan, with sufficient budget, would use labor to capture Aedes mosquitoes in specific areas. If the number of Aedes mosquitoes increases rapidly, cleaning and disinfection in the specific areas to prevent dengue fever virus infection. In view of this, this study is to develop a decision support system including the smart mosquito trapping lamp device with IoT (Internet of Thing) modules and the function of data analysis. The device can capture mosquitoes and send image data of mosquitoes back to the remote database for object detection to identify how many Aedes and Culex of the area located the device. Once the proposed system finds that the increase of the number of Aedes mosquitoes in the area exceeds the threshold value (within a setting time interval), the system may automatically notify the relevant government unit to carry out cleaning and disinfection of the area to combat the mosquito vectors. This study also utilizes a mixed integer linear programming (MILP) model to effectively allocate smart mosquito trap devices in relevant areas. Next, referring to the past literature, the meteorological information is related to the breeding of dengue vector mosquitoes. Therefore, this study analyses the dengue fever confirmed dataset from 2015 to 2019 by Taiwan Centers for Disease Control and the information provided by Taiwan Central Weather Bureau. By using decision-making methods (e.g., decision tree method), this study is to find important factors and rules for epidemic prevention, which aims to explore another way to prevent the spread of dengue fever. Keywords - Dengue Fever, Aedes/Culex Mosquito, Smart Mosquito Trapping Lamp, Object Detection, Mixed Integer Linear Programming Model.