As world become closer and many people travel around the world, infectious diseases are likely to be prevalent, Dengue, chikungunya, Zika virus would become endemic diseases in many places in the world as climate is more likely to be fit to mosquito vectors than before. As a matter of fact, Aedes albopictus mediating these diseases became endemic species in Japan and France recently. One of the things that we employ is that we need to apply the Internet of Things concept in disease vector control soon to increase the accuracy of vector species in time as they are present unexpectedly. Here in this presentation, many lines of current state-of-the-art technologies to control the disease vectors using big data informatics application and machine learning strategies. With this trend, this presentation will add future directions of integrated vector management with new research endeavors to monitor the population of disease vectors concisely and precisely, Application of internet of things (IoT) in disease vector management will be addressed in this presentation. This will change future research and development of apparatus to monitor and control disease vectors.

• Hoon-Kim(Department of Life Sciences and Convergence Research Center for Insect Vectors, Incheon National University)
• Byung-Jo Choi(Department of Life Sciences and Convergence Research Center for Insect Vectors, Incheon National University)
• Woo-Chul kang(Department of Life Sciences and Convergence Research Center for Insect Vectors, Incheon National University)
• Seung-Taek Jang(Department of Life Sciences and Convergence Research Center for Insect Vectors, Incheon National University)
• Hyung Wook Kwon(Department of Life Sciences and Convergence Research Center for Insect Vectors, Incheon National University)