Chris Kenyon, from the Institute of Tropical Medicine, Belgium, and colleagues asked whether there are lessons to be learned from
the way syphilis rates have changed over time.
Not exact matches
Tweets corresponded to a bigger change in
syphilis rates, so they could provide a more effective
way of planning where best to allocate resources.
One
way to predict an increase in
syphilis rates is to look at the current number of cases — for example, each county that had a higher than average number of cases in 2012 saw a 0.6 per cent increase the following year.