Epidemic Contact Tracing via Communication Traces

被引:66
作者
Farrahi, Katayoun [1 ]
Emonet, Remi [2 ]
Cebrian, Manuel [3 ,4 ,5 ]
机构
[1] Univ London, Dept Comp, London, England
[2] Lab Hubert Curien, Dept Machine Learning, St Etienne, France
[3] MIT, Media Lab, Cambridge, MA 02139 USA
[4] Univ Calif San Diego, Dept Comp Sci & Engn, La Jolla, CA 92093 USA
[5] Natl Informat & Commun Technol Australia, Melbourne, Vic, Australia
基金
澳大利亚研究理事会;
关键词
MOBILITY; NETWORK;
D O I
10.1371/journal.pone.0095133
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Traditional contact tracing relies on knowledge of the interpersonal network of physical interactions, where contagious outbreaks propagate. However, due to privacy constraints and noisy data assimilation, this network is generally difficult to reconstruct accurately. Communication traces obtained by mobile phones are known to be good proxies for the physical interaction network, and they may provide a valuable tool for contact tracing. Motivated by this assumption, we propose a model for contact tracing, where an infection is spreading in the physical interpersonal network, which can never be fully recovered; and contact tracing is occurring in a communication network which acts as a proxy for the first. We apply this dual model to a dataset covering 72 students over a 9 month period, for which both the physical interactions as well as the mobile communication traces are known. Our results suggest that a wide range of contact tracing strategies may significantly reduce the final size of the epidemic, by mainly affecting its peak of incidence. However, we find that for low overlap between the face-to-face and communication interaction network, contact tracing is only efficient at the beginning of the outbreak, due to rapidly increasing costs as the epidemic evolves. Overall, contact tracing via mobile phone communication traces may be a viable option to arrest contagious outbreaks.
引用
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页数:11
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