Machine Assisted Surveillance and Alerting System to Prevent Mosquito-borne Diseases

Abstract

Mosquito is the deadliest insect in the world that kills about 750000 people annually according to the so WHO. Half of the world’s population is in risk on Mosquitoborne diseases and causes billions of do productivity annually. Particularly in Sri Lanka the effect of mosquito borne diseases is adverse during years. The main prevention method used to control these types of dieses is the vector control system time, the vaccine trial also has been initiated. Beyond all these prevention methods, community awarene is much suitable to control the spread of these vector borne diseases, mainly mosquito borne disease purpose, we have chosen a method which could be the best way to notify the users abou areas and be able to get rid of the direct impact of being affected by the vector carry diseases. This paper is mainly based on finding how machines can be used to prevent Mosquito-born Machines in the sense, it is mainly focusing on Cloud and mobile technologies and how they can be use manner to be more productive in controlling Mosquito-borne diseases. Our finding is more specifically to make these technologies for being adopted by people living in remote areas. We will more deeply d to identify danger points, how to send alerts to people, who to send alerts and what are the things to be such alerts that protect them from deadly diseases. The system built would be a service to give timel and reliable information to users about the areas that are identified risky areas for mosquito related dise most people use smart phones and other handheld devices, the targeted audience will be them at the f and would be mainly a phone application.