Modelling infection spread using location tracking

Mason, A.M. and Dingle, N.J. and Knottenbelt, W.J. and Bell, D. and Buchanan, W. and Theummler, C. (2010) Modelling infection spread using location tracking. International Journal of Healthcare Technology and Management, 11 (6). pp. 442-461.

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The precision of location tracking technology has improved greatly over the last few decades. We aim to show that by tracking the locations of individuals in a closed environment, it is now possible to record the nature and frequency of interactions between them. Further, that it is possible to use such data to predict the way in which an infection will spread throughout such a population, given parameters such as transmission and recovery rates. We accordingly present a software package that is capable of recording and then replaying location data provided by a high-precision location tracking system. The software then employs a combination of SIR modelling and the epidemiological technique of contact tracing in order to predict the spread of an infection. We use this software to conduct a number of experiments using a sample data set, and compare the SIR graphs generated from these to similar graphs generated using the traditional SIR differential equations.

Item Type: Article
Subjects: MSC 2010, the AMS's Mathematics Subject Classification > 60 Probability theory and stochastic processes
MSC 2010, the AMS's Mathematics Subject Classification > 68 Computer science
Depositing User: Dr Nicholas Dingle
Date Deposited: 14 Dec 2010
Last Modified: 20 Oct 2017 14:12

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