FLUNET: Automated Tracking of Contacts During Flu Season - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2010

FLUNET: Automated Tracking of Contacts During Flu Season

Abstract

By analyzing people's contact patterns over time, it is possible to build efficient delay tolerant networking (DTN) algorithms and derive important data for parameterizing and calibrating epidemiological models. Significant research has been performed in the automated acquisition of contact patterns using mobile devices such as Zigbee motes or Bluetooth-enabled cellular phones. However, the limited number of studies described to date do not capture the breadth of human experience or specifically include the acquisition of health related information. In this paper we present Flunet, a mobile contact-tracking network deployed in a Canadian university environment during flu season. Flunet tracked contact patterns of 36 participants and their proximity to 11 stationary nodes using MicaZ motes over a period of three months. Participants filled out weekly surveys on their state of health. This study is distinct from others because we incorporate health information and the impact of sub-zero temperatures on mobility patterns. This paper presents a preliminary analysis of the data set, primarily from a DTN perspective. We present fundamental attributes of the dataset, the efficiency of routing for single pass and flooding-based algorithms and a preliminary look at the relationship between network characteristics and health status.
Fichier principal
Vignette du fichier
p557-hashemian.pdf (897.75 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00498447 , version 1 (07-07-2010)

Identifiers

  • HAL Id : inria-00498447 , version 1

Cite

Mohammad S. Hashemian, Kevin G. Stanley, Nathaniel Osgood. FLUNET: Automated Tracking of Contacts During Flu Season. WiOpt'10: Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, May 2010, Avignon, France. pp.557-562. ⟨inria-00498447⟩

Collections

WIOPT2010
93 View
191 Download

Share

Gmail Facebook X LinkedIn More