An Agent-Based Modeling for Pandemic Influenza in Egypt
Identifieur interne : 000114 ( Istex/Checkpoint ); précédent : 000113; suivant : 000115An Agent-Based Modeling for Pandemic Influenza in Egypt
Auteurs : Khaled M. Khalil [Égypte] ; M. Abdel-Aziz [Égypte] ; Taymour T. Nazmy [Égypte] ; Abdel-Badeeh M. Salem [Égypte]Source :
- Intelligent Systems Reference Library [ 1868-4394 ]
Abstract
Abstract: Pandemic influenza has great potential to cause large and rapid increases in deaths and serious illness. The objective of this paper is to develop an agent-based model to simulate the spread of pandemic influenza (novel H1N1) in Egypt. The proposed multi-agent model is based on the modeling of individuals’ interactions in a space-time context. The proposed model involves different types of parameters such as: social agent attributes, distribution of Egypt population, and patterns of agents’ interactions. Analysis of modeling results leads to understanding the characteristics of the modeled pandemic, transmission patterns, and the conditions under which an outbreak might occur. In addition, the proposed model is used to measure the effectiveness of different control strategies to intervene the pandemic spread.
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DOI: 10.1007/978-3-642-25755-1_11
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: Pandemic influenza has great potential to cause large and rapid increases in deaths and serious illness. The objective of this paper is to develop an agent-based model to simulate the spread of pandemic influenza (novel H1N1) in Egypt. The proposed multi-agent model is based on the modeling of individuals’ interactions in a space-time context. The proposed model involves different types of parameters such as: social agent attributes, distribution of Egypt population, and patterns of agents’ interactions. Analysis of modeling results leads to understanding the characteristics of the modeled pandemic, transmission patterns, and the conditions under which an outbreak might occur. In addition, the proposed model is used to measure the effectiveness of different control strategies to intervene the pandemic spread.</div>
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