A review on the surveillance methods of the aedes aegypti mosquito for the prevention of dengue

Abstract

Dengue fever is a significant public health concern worldwide. It is a vector-borne disease caused by the dengue virus and transmitted to humans through the bites of infected Aedes mosquitoes. There is currently no specific treatment or vaccine for dengue fever, and prevention remains the most effective strategy for controlling the disease. The review aims to provide a comprehensive overview of the various prevention methods available for detecting Aedes aegypti mosquito. In this review, various surveillance techniques were analyzed for each method and evaluating their effectiveness, feasibility, and sustainability in various settings. The review also explores the challenges and opportunities for implementing these prevention strategies, particularly in Bangladesh. Larval Survey method might be one of the most effective techniques for Bangladesh for its case of work, feasibility and cost effectiveness but it is time consuming. For this reason, In Bangladesh, the implementation of artificial intelligence and machine learning algorithms in dengue surveillance will be a promising development that could provide faster and more accurate information on outbreaks