Aaron C. Miller, PhD

This talk will explore the use of a novel data source for the surveillance of influenza. Thermometer readings were collected through a smartphone-based application from users across the United States. By tracking both the number of active thermometer users and the number of fevers recorded, we develop real-time nowcasting and forecasting models. Geo-location data along with user profile information also allow for both regional and age-based surveillance. In addition, we explore a number of within-household disease surveillance applications that include studying disease duration, identifying biphasic fever patterns and tracking the transmission of disease between individuals within a household.This talk will explore the use of a novel data source for the surveillance of influenza. Thermometer readings were collected through a smartphone-based application from users across the United States. By tracking both the number of active thermometer users and the number of fevers recorded, we develop real-time nowcasting and forecasting models. Geo-location data along with user profile information also allow for both regional and age-based surveillance. In addition, we explore a number of within-household disease surveillance applications that include studying disease duration, identifying biphasic fever patterns and tracking the transmission of disease between individuals within a household.


Aaron C. Miller CV