Contagious Disease Propagation Study Using Machine Learning

Depiction and prediction of the spreading of infectious and contagious diseases can be well understood with the help of simulation studies. Our main aim is to reduce future global disease spreading with the help of Machine Learning. The proposed system aims to mine the environmental data and correlate it with the diseases, to predict the patterns in which the communicable diseases transmit and propagate. The proposed solution takes into consideration statistics related to contagious diseases from different states of India and all over the world, to understand the sustainability conditions for the diseases and derive the patterns of its propogation. The input data for the proposed system is the environmental factors related to the sustainability conditions for the diseases. The system using OpenStreetMap framework will provide geospatial visualisation of the areas affected in the past and the regions that are most susceptible to the disease in the future. This will help the government entity to take necessary actions and preventive measures to mitigate the problem.