Fadzilah Kamaludin Author

Research Article Open Access

Utilizing Artificial Intelligence as a Dengue Surveillance and Prediction Tool

Author(s):

Bala Murali Sundram, Dhesi Baha Raja, Fazilah Mydin, Ting Choo Yee, Kamesh Raj and Fadzilah Kamaludin

Objectives: A major challenge in passive surveillance is that an outbreak has often occurred before it is recognized. The main purpose of this study is to determine how well an artificial intelligence mediated system can improve the quality of Malaysia’s dengue surveillance system. In particular, the focus of the study was to evaluate the effectiveness of a real-time surveillance system in dengue case detection and prediction of future outbreaks.

Methods: A feasibility study was conducted in the state of Penang by incorporating artificial intelligence and machine learning capabilities to geo-locate and determine future dengue outbreaks. This decision-making tool supports data entry, retrieval, storage and analysis for dengue vector manage... view more»

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