Outbreak Detection

Outbreak Detection


Hospital acquired infections are a significant yet preventable detractor of patient care. The Auton lab develops statistical models for joining disparate sources of information such as genetic tests, patient histories, geography, and other epidemiological information for detecting systematic outbreaks and identifying root cause. Leveraging multiple data sources, our algorithms establish corroborating evidence to support or dismiss hypothetical outbreak scenarios, both increasing detectability and speed of analysis while maintaining low false alert rates.

Hospital acquired infections are a significant yet preventable detractor of patient care. According to the CDC 1 in 31 hospital patients [1] suffers from a hospital acquired infection. The Auton lab develops statistical models for joining disparate sources of information such as genetic tests, patient histories, geography, and other epidemiological information for detecting systematic outbreaks and identifying root cause. Leveraging multiple data sources, our algorithms establish corroborating evidence to support or dismiss hypothetical outbreak scenarios, both increasing detectability and speed of analysis while maintaining low false alert rates. References [1]: https://www.cdc.gov/hai/data/index.html

EDS Hat v2