Twitter provided a more sensitive warning signal for syphilis rates in US counties than the previous year's disease levels (newscientist.com)
To begin to answer the question, they mapped syphilis rates across time and place and examined whether possible explanatory variables such as geographical location, health care spending, or relative wealth, showed a correlation with the observed patterns. (sciencedaily.com)