Fighting Ebola with a holistic vision of big data

TECH REPUBLIC  by Mary Shaklett                                                                         March 24, 2015

Big data practitioners are learning that the laboratory know-how of computer scientists and statisticians must be matched with a holistic, 360-degree vision of the problem to be solved. TheEbola crisis is a prime example....

If big data is going to help solve health issues like Ebola, it must be incorporated into analytics that consider all of the factors shaping the epidemic. These are three of the ingredients that should be factored into Ebola analytics.

1: There are political barriers that stand in the way of obtaining data from cell phone providers that could assist researchers in determining where the disease will strike next.

2: Even if disease researchers could obtain this data, there is a need to "correct" the data for what it doesn't reveal. For example, if less than 50% of a country's population has access to mobile phones and individuals are constantly moving from village to village, how will researchers be able to verify the quality of the data they're getting unless there are people "on the ground" who can verify or provide corrective factors to the data?

3: Even if data is correct, there is a data velocity issue. The data researchers analyze must stay in sync with the rate at which individuals are migrating from one place to another.

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http://news.yahoo.com/fighting-ebola-holistic-vision-big-031100089.html;_ylt=AwrBJR9yRBFVFgIA5zjQtDMD