Google knows plenty about online users, including which restaurants you visit, and even which one gave you food poisoning. Matthew Humphries:
Google and Harvard T.H. Chan School of Public Health have been working together to develop a very quick and automatic way of identifying where outbreaks of food poisoning occur. It requires no visits to restaurants and no health inspections, all it needs is data.
Remember, you are the data. What does massive amounts of data do for predictions?
Overall, the model detection rate achieved 52.3 percent. That may not seem great, but the rate based on routine inspections alone is just 22.7 percent across the two test cities. Google’s system also proved to be more intelligent in identifying the correct restaurant for the outbreak. 38 percent of the detections were for locations that weren’t the last place a person visited for food, this is because the system takes into account how long illness remains dormant and factors it in to the results. Complaints by ill people usually focus on the last place they consumed food and therefore can easily be wrong.