Experiences in measuring a human contact network for epidemiology research

Authors:
Maria A. Kazandjieva;Jung Woo Lee;Marcel Salathé;Marcus W. Feldman;James H. Jones;Philip Levis
Affiliations:
Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA
Venue:
Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors
Year:
2010

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Abstract

This paper discusses our experience in designing and deploying a 994-node sensor network to measure the social contact network of a high school over one typical day. The system aims to capture interactions of human subjects for the study of infectious disease spread. We describe unique challenges posed by a large-scale network that is heavily affected by humans. We present techniques to address challenges such as frequent node reboots and global timestamps. The end result of the deployment is a dataset of 792 traces which can be used to calculate the school population's contact network and the rough location where interactions occurred.