A system for prediction of epidemic spread of airborne diseases using location data from social media feeds
Publication Date: 2016-May-31
The IP.com Prior Art Database
In this article, we propose a system that uses real time streaming, data analytics and spatio-temporal technology to determine and predict the spread of the airborne diseases by making use of the locations of the social media posts.A social media post is the activity that is done by an user on a social media platform such as facebook, twitter, instagram etc. The system can correlate patient data with others who were in the same place (or) who crossed paths with the patients using geospatial analytics in spatio-temporal dimensions, to find out the probable candidates who may be exposed to infection. Using this kind of system, a preemptive and preventive medical treatment could be initiated to arrest the spread and address any such possible outbreak.