A next-generation system for monitoring influenza outbreaks performs well overall, but reveals a critical lack of sufficient data to accurately monitor influenza in the most at-risk communities. Samuel V. Scarpino of Northeastern University in Boston, MA, and colleagues from the University of Texas at Austin present these findings in PLOS Computational Biology.
Click here for original story, Vulnerability for at-risk populations identified in US influenza data
Source: Phys.org