Physics – Medical Physics
Scientific paper
2010-06-23
Physics
Medical Physics
Scientific paper
The most frequent infectious diseases in humans - and those with the highest potential for rapid pandemic spread - are usually transmitted via droplets during close proximity interactions (CPIs). Despite the importance of this transmission route, very little is known about the dynamic patterns of CPIs. Using wireless sensor network technology, we obtained high-resolution data of CPIs during a typical day at an American high school, permitting the reconstruction of the social network relevant for infectious disease transmission. At a 94% coverage, we collected 762,868 CPIs at a maximal distance of 3 meters among 788 individuals. The data revealed a high density network with typical small world properties and a relatively homogenous distribution of both interaction time and interaction partners among subjects. Computer simulations of the spread of an influenza-like disease on the weighted contact graph are in good agreement with absentee data during the most recent influenza season. Analysis of targeted immunization strategies suggested that contact network data are required to design strategies that are significantly more effective than random immunization. Immunization strategies based on contact network data were most effective at high vaccination coverage.
Feldman Marcus W.
Houston Jones Jane
Kazandjieva Maria
Lee Jung Woo
Levis Philip
No associations
LandOfFree
A High-Resolution Human Contact Network for Infectious Disease Transmission does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A High-Resolution Human Contact Network for Infectious Disease Transmission, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A High-Resolution Human Contact Network for Infectious Disease Transmission will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-278748