Ucla Researchers Predict Syphilis Outbreaks Using Search Engines and Social Media


Enrique Rivero-

Ucla researchers, in partnership with the Centers for Disease Control and Prevention, the CDC, discovered a link between internet searches and tweets concerning sexual risk behavior and the resulting syphilis outbreak trends. Researchers found that the model using AI to analyze the searched terms could predict 144 weeks of syphilis cases up to an accuracy of 90% for each state. By accurately predicting syphilis trends, public health officials hope to better prevent the disease.


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