Negative selection algorithm for dengue outbreak detection

Authors : Maryam MOUSAVI, Azuraliza Abu BAKAR, Suhaila ZAINUDIN, Zalizah Awang LONG, Mazrura SAHANI, Mohammadmahdi VAKILIAN

Pages : 2345-2356

Doi:10.3906/elk-1206-91

View : 16 | Download : 8

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Dengue is a critical communicable and vector-borne disease and is becoming a serious concern in Malaysia. It is important to have an early detection system that could provide immediate action, such as the control of dengue transmission at a specific location. However, the available strategy and action may give long-term effects to the community since inaccurate decision making or prediction may lead to other circumstances. Moreover, the need to have a system that can detect the outbreak in a reasonable amount of time is critical. In this study, a nature-inspired computing technique, the artificial immune system insert ignore into journalissuearticles values(AIS);, is used for dengue outbreak detection. One of the variants of the AIS algorithms, called the negative selection algorithm insert ignore into journalissuearticles values(NSA);, has been widely applied in anomaly detection and fault detection. This study aims to employ the NSA for dengue outbreak detection.
Keywords : Dengue outbreak, artificial immune system, negative selection algorithm