Demographics: 39 participants, mixture of graduate students and staff in Computer Science

Size: over 45 million raw data records

Duration: Five weeks

Purpose: Use detailed microtelemetry data to build an agent-based simulation model of a flu-like illness amongst a real population. Preliminary evaluation of efficacy of iEpi tool in a real data collection environment.

Data Collected 

  • Base Duty Cycle: 5 minutes
    • Accelerometer: 1 minute (one minute burst)
    • Bluetooth: 1 minute (one minute burst)
    • WiFi: 3 seconds (three second burst)
    • GPS: 2 minutes (two minute burst)
    • Battery: 10 records
  • Demographic survey
  • Technology usability survey

Outcomes: Mobility and contact dynamics were extracted and place analyses, e.g., identifying the most frequented locations, were performed. Simulations of disease transmission were produced by replicating the habits of individuals while changing disease dynamics. Fundamental performance of the device and system was established.

Papers Employing SHED1 Data:

  1. Hashemian, M. S., Stanley, K. G., Knowles, D. L., Calver, J., & Osgood, N. D. (2012, January). Human network data collection in the wild: the epidemiological utility of micro-contact and location data. In Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (pp. 255-264). ACM.
  2. Qian, W., Stanley, K. G., & Osgood, N. D. (2013). The impact of spatial resolution and representation on human mobility predictability. In Web and Wireless Geographical Information Systems (pp. 25-40). Springer Berlin Heidelberg.
© Kevin Stanley 2014