Social media platforms and environmental data may have the ability to accurately forecast ED visits for asthma at a population level, according to study results.

“Our population-level asthma risk prediction model has the potential for complementing current individual-level models, and may lead to a shorter time window and better accuracy of prediction,” Sudha Ram, PhD, of the University of Arizona, and colleagues wrote. “This in turn has implications for better planning and proactive treatment in specific geo-locations at specific time periods.”