IBM has teamed up with university researchers to use big data and analytics to predict the outbreak of deadly diseases such as Dengue fever and Malaria.
The research is aimed at understanding the spread of diseases in real-time in order to better deploy public health resources to combat the spread of infectious diseases
But rather than just predicting the spread of a disease, the researchers are applying analytics from large data sets to see how changes in rainfall, temperature, and even soil acidity can dramatically affect the populations of wild animals and insects that carry the infectious diseases. They’re also merging that information with other data, like airport and highway traffic, to further understand outbreaks.
Four sessions presented by Googlers during SES San Francisco spanned advice and insight about mobile apps and analytics, navigating SEM in a constantly connected world, engagement in mobile display, and how to ...
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