Providing an accurate analysis of dengue epidemic seasons will allow sufficient time in taking necessary decisions and actions to safeguard the situation for local authorities. This research aims to develop a web-based dengue tracking system (DTS) that makes use of environmental input factors in predicting the future behavior of dengue cases using Artificial Neural Network. The system can serve a valuable purpose for the health sectors as it informs them to take action on recorded cases in areas which are prone to dengue. Through mapping, the system can also generate an analysis of the area where outbreaks of dengue commonly occurs using a graphical representation of case patterns.

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