Influenza diffusion prediction with using social media data
What is it about?
We predict future influeanza like illnesses (ILI) outbreaks and understand how they are spreading from location to location using social media data, namely, Twitter. We create a network model using neighborhood and airline traffic relationships among the states. Results show that flu-related data aligns well with ILI data from the Centers for Disease Control and Prevention (CDC) and the model can predict accurately the ILI activity.
Why is it important?
Early detection Illnesses systems improve patient care providers. While extensive work has been presented utilizing time-series analysis on single geographies, or post-analysis of highly contagious diseases, no previous work has provided a generalized solution to identify how contagious diseases diffuse across geographies, such as states in the USA.
The following have contributed to this page: Gurkan Bebek
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