Infectious And Deadly Diseases An Indispensable Approach...

Research paper Infectious and deadly diseases have been known to spread over social networks of people and animals. Network epidemiology has been proved as an indispensable approach for understanding epidemics of infectious diseases and is often used in medical epidemiology and network science. The most famous and practical example of network epidemiology is the GLEAMviz platform, which succeeded in forecasting the 2009 H1N1 pandemic, saving millions of lives. Behind network epidemiology, one can assume that there is a link (i.e. contact) between two or more individuals is a way for contagion. This is a strong simplification of reality as there is already data processing temporal information of the event of a contagious disease between humans and other animals. SocioPatterns is one of the many data processors that collects and analyzes data. As humans constantly use digital media and computational devices in their daily lives, more and more digital traces are left behind. With the ad dition of mobile devices, the amount of data left behind has been exponentially growing. This data is essential to identify the networks that are made between people. SocioPatterns is a research collaboration that adopts a data-driven methodology with the aim of uncovering fundamental patterns in social dynamics and coordinated human activity. This is very hard for them because with the ever changing population and characteristics, technology must be evolved. To achieve its scientific goals,