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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2016-07-04T13:45:22Z</responseDate> <request identifier=oai:HAL:hal-01271476v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01271476v1</identifier> <datestamp>2016-03-21</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:math</setSpec> <setSpec>collection:UNIV-PERP</setSpec> <setSpec>collection:AGROPOLIS</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:INSMI</setSpec> <setSpec>collection:TDS-MACS</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>The spatial reproduction number in a cellular automaton model for vector-borne diseases applied to the transmission of Chagas disease</title> <creator>Cisse, B.</creator> <creator>El Yacoubi, S.</creator> <creator>Gourbiere, S.</creator> <contributor>Espace pour le Développement (UMR ESPACE-DEV) ; Institut de Recherche pour le Développement (IRD) - Université des Antilles et de la Guyane (UAG) - Université de la Réunion - Université de Montpellier (UM)</contributor> <contributor>Institut de Modélisation et d'Analyses en géo-environnement et santé - Espace Développement (IMAGES-Espace DEV) ; Université de Perpignan Via Domitia (UPVD) - Espace pour le Développement (UMR ESPACE-DEV) ; Institut de Recherche pour le Développement (IRD) - Université des Antilles et de la Guyane (UAG) - Université de la Réunion - Université de Montpellier (UM) - Institut de Recherche pour le Développement (IRD) - Université des Antilles et de la Guyane (UAG) - Université de la Réunion - Université de Montpellier (UM)</contributor> <description>International audience</description> <source>ISSN: 0037-5497</source> <source>SIMULATION</source> <publisher>SAGE Publications</publisher> <identifier>hal-01271476</identifier> <identifier>https://hal-univ-perp.archives-ouvertes.fr/hal-01271476</identifier> <source>https://hal-univ-perp.archives-ouvertes.fr/hal-01271476</source> <source>SIMULATION, SAGE Publications, 2016, 92 (2), p. 141-152. <10.1177/0037549715626520></source> <identifier>DOI : 10.1177/0037549715626520</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1177/0037549715626520</relation> <language>en</language> <subject lang=en>modeling</subject> <subject lang=en>spatial dynamics</subject> <subject lang=en>vector-borne disease</subject> <subject lang=en>basic reproduction number</subject> <subject lang=en>heterogeneity</subject> <subject>[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>This work aims at developing a general methodology to determine the spatial changes in the basic reproduction number for vector-borne diseases. This requires a spatially explicit modeling system which will be based on a cellular automata (CA) approach and applied to the Chagas disease for both homogeneous and heterogeneous landscapes. Using an extension of the so-called next-generation matrix, we obtained an expression for the basic reproduction number Formula that characterizes the spatial heterogeneity of the risk of emergence of an outbreak. The performed simulation with the built CA model shows the effect of local vector dispersal in a heterogeneous landscape for Chagas disease transmission. </description> <date>2016</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>