Project Premonition: seeking to prevent disease outbreaks (extended)

Microsoft Research, working with Johns Hopkins Bloomberg School of Health, University of Pittsburgh, and St. George’s University, conducted a feasibility study in Grenada to determine the viability of Project Premonition. The research uses autonomous methods such as drone-enabled mosquito traps to attract and collect mosquitoes, and then conduct cloud-based next generation gene sequencing analysis of pathogens in the mosquito to detect early signs of infectious diseases.

Microsoft Research is contributing its expertise in autonomous trap design, safe cyber-physical systems and autonomous drones, and cloud-based computational genomics to create a timely, scalable, and resource-efficient response for emerging infectious diseases.

Douglas Norris, Ethan Jackson, and James Pipas
Microsoft Research, University of Pittsburgh, Johns Hopkins Bloomberg School of Public Health