FluSpider as a new vision of digital influenza surveillance system: Based on Big Data technologies and Massive Data Mining techniques

Abstract

With the development of the number of Internet users, we have becoming able to quantify real world social phenomena up to date. One of the most important problems in healthcare is monitoring the current level of pandemic influenza. In this article, we propose FluSpider, a new vision of digital surveillance system that is based on tracking web pages followers, to estimate the current level of influenza across the world. Our method uses Big Data technologies and Massive Data Mining methods to provide accurate results. Our evaluation shows that FluSpider system can solve the Influenza Like Illness epidemic monitoring problem in near real time and ahead of two weeks of traditional centers.