An IoT-based ovitrap system applied for aedes mosquito surveillance

Abstract

Since the number of dengue fever cases has become the endemic disease in Malaysia, it is urgently need for rapid and efficient calculation of mosquito populations particularly for early detection and control measures. An ovitrap surveillance is used to determine the density of Aedes mosquito and it is one of the implemented method for vector control application. In this study, the prototype of an IoT-based ovitrap system was developed to automatically and simultaneously detect the Aedes mosquitoes using NodeMCU as the main IoT platform. The existing sticky ovitrap was modified to integrate the selected IoT components and to ensure its functionality for automatic detection. There are two phases were conducted in this study, with phase 1 evaluating the right IoT components to be selected and applied for automatic detection. Integrating the selected IoT components and modification of present ovitrap was carried out in phase 2 and the final revised design was considered. SWOT analysis and Pugh chart analysis also known as decision matrix method were used to select the best IoT components and final ovitrap design. It has been observed that the prototype D was the best design and be able to detect the adult mosquitoes. The lessons learned in the development of the IoT-based ovitrap were discussed in order to be employed for Aedes mosquitoes surveillance in the future.