DESIGN AND DEVELOPMENT OF A GIS INTEGRATED VECTOR (DENGUE CARRYING MOSQUITO} MONITORING DEVICE FOR DISEASE OUTBREAK MODELLING AND CONTROL

Abstract

Dengue is a vector-borne disease and it is a life-threatening malady. It occurs in the tropical and subtropical areas. Pakistan likewise falls in this locale, and the country is exceptionally defenseless against this ailment. In previous years, the country has confronted critical episodes of dengue. GIS and geospatial technologies assume an extremely fundamental job in the prevention and mitigation of this ailment. We are working on the design of the device that incorporates the most recent geospatial advancements. Our work contains four components initially is the design of the device it is an ovitrap it has Ovicups that are filled with water for the mosquito to lay eggs, the second segment is the utilization of a convolutional neural system (CNN) to prepare our dataset for image classification and object identification utilizing Tensor Flow Keras, OpenCV, and python. The third part is a spatial database that stores the dengue data, and the last and fourth segment is a map for data visualization. This will help epidemiologists, and health care experts and decision-makers to make timely decisions in mitigating the spread of dengue. This system is easy to adopt for a third world country like Pakistan which has scarce resources to combat this disease. IV