Negative selection algorithm for dengue outbreak detection

Maryam MOUSAVI, Azuraliza ABU BAKAR, Suhaila ZAINUDIN, Zalizah AWANG LONG, Mazrura SAHANI, Mohammadmahdi VAKILIAN
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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 (AIS), is used for dengue outbreak detection. One of the variants of the AIS algorithms, called the negative selection algorithm (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

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References


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