Abstract: Data fusion and machine learning to identify threat vectors for the Zika virus and classify vulnerability (2016 AGU Fall Meeting)

Data fusion and machine learning to identify threat vectors for the Zika virus and classify vulnerability

JOHN N Gentle Jr¹, Ari Kahn¹, Suzanne A Pierce¹, Sheena Wang², Cara Wade³ and Sean Moran³, (1)Texas Advanced Computing Center, Austin, TX, United States, (2)University of Texas at Austin, Department of Management Information Systems, Austin, TX, United States, (3)Austin Community College, Austin, TX, United States

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