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...stress tests may do most for depositors, letting them know that their financial institutions are either in good shape or being repaired. That may allow the government to start rolling back some of extra safety nets it has set up over the past year. So even though the stress tests may not be a boon for investors, they are still a positive development...
...what extent do you think we'll learn from everything that's happened? How long before we start making mistakes again...
Some public-health experts say this kind of user-fueled data-tracking may start to help government health officials' efforts to recognize outbreaks. Real-time warnings would allow authorities to stay well ahead of potential pandemics, prepare local populations with appropriate prevention and treatment, and reduce overall illness and deaths. The Google Flu Trends service, which was launched in the U.S. in collaboration with the Centers for Disease Control and Prevention (CDC), is now working with Mexican officials to track search trends in that country. The goal is to help authorities discern whether and where the disease is spreading, getting...
Compared with Veratect, Google Flu Trends' metric is somewhat simpler. From 50 million potential search topics, Google engineers narrow down a relevant grouping of flu-related search terms, which they track each fall at the start of the annual flu season. When analyzed side by side with CDC records of confirmed flu cases for the past five flu seasons, Google Flu Trends was 97% to 98% accurate in tracking the disease. And because Google's analysis is in real time, its estimates of cases come about a week or two before those of the CDC. "Each flu season...
Where Google Flu Trends may prove more useful, however, is in the tracking of an epidemic once it is under way. If the current H1N1 outbreak were to worsen and start to spread more quickly, then Google's system may be able to keep pace with it and alert health officials immediately as the problem grows. "If the disease starts spreading in a particular area, for example, and affects thousands of people, then we hope that our system would detect that within 24 hours," says Ginsberg. The idea would be to catch the rise in cases before too many people...