A novel m-Health system for epidemic tracking and prediction using Big Data and Electronic health record

摘要

In modern cities, the investigation of an outbreak using the traditional systems is a time- consuming task that requires collecting and processing complex information in order to track the origin of the disease. The COVID-19 Virus shows the current system limitation. For this reason, establishing an early detection and prediction is essential to halt the spreading of epidemics in an earlier stage. The aim of our work is to design a system capable of detecting and forecast people carrying of an epidemic in the first days of incubation using geolocation of the patient's and big data.