DocumentCode :
2774001
Title :
An Agent-Based Model of Epidemic Spread Using Human Mobility and Social Network Information
Author :
Frías-Martínez, Enrique ; Williamson, Graham ; Frías-Martínez, Vanessa
Author_Institution :
Telefonica Res., Madrid, Spain
fYear :
2011
fDate :
9-11 Oct. 2011
Firstpage :
57
Lastpage :
64
Abstract :
The recent adoption of ubiquitous computing technologies has enabled capturing large amounts of human behavioral data. The digital footprints computed from these datasets provide information for the study of social and human dynamics, including social networks and mobility patterns, key elements for the effective modeling of virus spreading. Traditional epidemiologic models do not consider individual information and hence have limited ability to capture the inherent complexity of the disease spreading process. To overcome this limitation, agent-based models have recently been proposed as an effective approach to model virus spreading. However, most agent-based approaches to date have not included real-life data to characterize the agents´ behavior. In this paper we propose an agent-based system that uses social interactions and individual mobility patterns extracted from call detail records to accurately model virus spreading. The proposed approach is applied to study the 2009 H1N1 outbreak in Mexico and to evaluate the impact that government mandates had on the spreading of the virus. Our simulations indicate that the restricted mobility due the government mandates reduced by 10% the peak number of individuals infected by the virus and postponed the peak of the pandemic by two days.
Keywords :
diseases; epidemics; health care; medical information systems; multi-agent systems; social networking (online); ubiquitous computing; agent-based model; digital footprint; disease spreading process; epidemic spread; epidemiologic model; human behavioral data; human dynamics; human mobility; mobility pattern; social dynamics; social interaction; social network information; ubiquitous computing technology; virus spreading; Cellular phones; Computational modeling; Data models; Diseases; Government; Humans; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4577-1931-8
Type :
conf
DOI :
10.1109/PASSAT/SocialCom.2011.142
Filename :
6113095
Link To Document :
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