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<identifier>oai:HAL:hal-00700105v1</identifier>
<datestamp>2017-12-21</datestamp>
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<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Network-Based Modeling in Epidemiology: An Emphasis on Dynamics</title>
<creator>Stattner, Erick</creator>
<creator>Collard, Martine</creator>
<creator>Vidot, Nicolas</creator>
<contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor>
<description>International audience</description>
<source>ISSN: 1947-8186</source>
<source>EISSN: 1947-8194</source>
<source>International Journal of Information System Modeling and Design</source>
<publisher>IGI Global</publisher>
<identifier>hal-00700105</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00700105</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00700105</source>
<source>International Journal of Information System Modeling and Design, IGI Global, 2012, 3 (3), pp.46-65. 〈10.4018/jismd.2012070103〉</source>
<identifier>DOI : 10.4018/jismd.2012070103</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.4018/jismd.2012070103</relation>
<language>en</language>
<subject lang=en>Epidemic Modeling</subject>
<subject lang=en>Global and Local Measures</subject>
<subject lang=en>Network Analysis</subject>
<subject lang=en>Spread Process</subject>
<subject lang=en>Social Network</subject>
<subject lang=en>Network Dynamics</subject>
<subject lang=en>Network Visualization</subject>
<subject>[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>The social behavior of individuals is an important factor of the transmission and the evolution of many diseases. As such, epidemic studies have attempted to integrate social aspects in dissemination modeling. Since the pioneering works of Klovdahl on AIDS in 1985, epidemiological investigations and interventions increasingly focus on social networks. Significant factors of the transmission and outbreak of many infectious diseases are the structure and nature of human interactions. Network-based modeling approaches have found various applications in epidemiology as a simple yet efficient way to represent the complexity of human relationships implicated in dissemination processes. However, most results have been obtained by considering social networks as steady stage structures. Evolving networks have not been explored. The objective is first to give an overview of network-based modeling attempts in epidemiology to analyze and understand the dissemination processes with an emphasis on dynamic networks. The authors approach is designed to understand the impact of social links dynamics on epidemic spread. The authors present the results obtained by combining network evolution patterns (link creation and deletion) and a typical epidemic model. The speed of link dynamics and the infection time strongly influence the occurrence and value of the epidemic peak.</description>
<date>2012</date>
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