This research demonstrates how online activity data can enhance traditional surveillance systems to identify avian influenza outbreaks more rapidly.

• Combines social media conversations and Google Trends data to detect potential outbreaks
• Addresses limitations in conventional surveillance systems that delay effective response
• Offers a complementary approach for real-time monitoring of disease spread
• Creates opportunity for earlier intervention and containment measures

For medical professionals and public health agencies, this approach represents a valuable addition to disease surveillance toolkits, potentially reducing economic impact and health risks through earlier detection and response.

Leveraging Social Media and Google Trends to Identify Waves of Avian Influenza Outbreaks in USA and Canada