Global Health Security Early Warning System Through Knowledge-Based Field Observations
This proposal brings together the INNOVATIVE sciences of Community Based Observing (CBO) and a zoonotic surveillance system integrated across both human and animal health sectors, with a CUTTING-EDGE technology system that enables observers to perform complex multi-media data gathering and submit them in near real-time to a central data portal. This fusion of science and technology can be further developed to form an early warning system for emerging zoonotic disease by iteratively improving the process of identifying indicators; refining observing protocols; and automating analysis and synthesis of data. The suggested session will be an interactive engagement that will INFORM the audience about the successes of the associated projects, while also allowing participants to submit real-time reports via downloadable cell phone apps and iridium satellite devices.
Speakers: Leo Naboyshchikov; Laura Falzon; Eric Fevre; Lilian Alessa; David Griffith, University of Idaho