A study on stegomyia indices in dengue control: a fuzzy approach

The vector-borne disease, dengue, is becoming one of the most serious threats for the world population. Dengue hemorrhagic fever and dengue shock syndrome can cause death for an infected person. Increment in the number of dengue outbreaks on a yearly basis is making the researchers rethink about the dengue vector monitoring measures. In this paper, we have developed an artificial intelligence-based mathematical model using fuzzy logic to implement control measures timely in the dengue-prone areas. Here, a Mamdani-type fuzzy inference system is constructed taking the the three stegomyia indices, namely house index, Breteau index and container index, as the input parameters and the ‘occurrence of dengue’ as the output parameter. Finally, this model is implemented in a real-life scenario.

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