Big Data, Big Confusion
In “Big Data: A Revolution That Will Transform How We Live, Work and Think” authors Viktor Mayer-Schonberger and Kenneth Cukier begin by presenting the situation of the year 2009, when the virus H1N1 represented a major concern for World Health Organisation and, in particular, for the American government. The rapid evolution of the epidemics created difficulties for CDC (Centre for Disease Control and Prevention), a governmental agency, as it reported the situation with a delay of 2 weeks in comparison to the reality in the field, partly because the population did not come into contact with the medical personnel after the first symptoms appeared. Real-time reporting would have allowed for a better understanding of the size of the epidemics, an optimisation of the prevention and treatment tactics, actions with the potential of saving lives in a disaster which ultimately amounted to 284,000 victims.
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