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| Content Provider | ACM Digital Library |
|---|---|
| Author | Le, Xuan Tuan Cohen, Jean Marie Bui, Marc |
| Abstract | In this work, we present a paradigm to build a decision support tool which enable users to "play" with the model, change the input parameters, test different intervention scenarios,. in case of infectious diseases. The proposed paradigm involves modeling of closed to realistic social contact networks through which the disease transmissions take place as well as the social influence networks which take part in determining individual decisions and hence, lead to impacts on the propagation of the disease. The proposed model follows agent based approach and uses statecharts for the modeling of agent behaviors focusing on the behaviors of each individual when he/she is being sick or when hearing of the sickness of the others. The dynamics of attitude of a person (which affects that agent's decision) is characterized using opinion dynamics model that take place on those influence networks. Different interventions strategies are also investigated that take into account the fact that agent is incentive. Our preliminary simulation results shows that, with the making best use of available (demographic, transportation,.) data and considering of behaviors at individual level, the proposed model can capture the spreading characteristics of the disease as well as the impacts of intervention strategies on its propagation process at the whole population level. |
| Starting Page | 36 |
| Ending Page | 43 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450348157 |
| DOI | 10.1145/3011077.3011110 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-12-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Epidemic Intervention Agent based modeling Statecharts Diffusion process Complex systems |
| Content Type | Text |
| Resource Type | Article |
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