Risk of Malaria Reemergence in Southern France: Testing Scenarios with a Multiagent Simulation Model Export

@article{Linard2009_abm_malaria, abstract = {Abstract\ \ The Camargue, a region in southern France, is considered a potential site for malaria reemergence. All the suitable factors of the disease transmission system are present—competent mosquito vectors, habitats for their breeding, and susceptible people—except for the parasite. The objective of this study was to test potential drivers of malaria reemergence in this system after possible changes in biological attributes of vectors, agricultural practices, land use, tourism activities, and climate. Scenarios of plausible futures were formulated and then simulated using a spatially explicit and dynamic multiagent simulation: the MALCAM model. Scenarios were developed by varying the value of model inputs. Model outputs were compared based on the contact rate between people and potential malaria vectors, and the number of new infections in case of reintroduction of the parasite in the region. Model simulations showed that the risk of malaria reemergence is low in the Camargue. If the disease would reemerge, it would be the result of a combination of unfavorable conditions: introduction of a large population of infectious people or mosquitoes, combined with high levels of people–vector contacts resulting from significant changes in land use, tourism activities, agricultural policies, biological evolution of mosquitoes, and climate changes. The representation in the MALCAM model of interactions and feedbacks between different agents, and between agents and their environment, led in some cases to counterintuitive results. Results from scenario analyses can help local public health authorities in policy formulation.}, author = {Linard, Catherine and Pon\c{c}on, Nicolas and Fontenille, Didier and Lambin, Eric}, citeulike-article-id = {4566434}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/s10393-009-0236-y}, citeulike-linkout-1 = {http://www.springerlink.com/content/y7120872mm6273l1}, day = {1}, doi = {10.1007/s10393-009-0236-y}, journal = {EcoHealth}, keywords = {abm, disease, gis, malaria, simulation}, month = {March}, number = {1}, pages = {135--147}, posted-at = {2009-10-16 13:27:44}, priority = {2}, title = {Risk of Malaria Reemergence in Southern France: Testing Scenarios with a Multiagent Simulation Model}, url = {http://dx.doi.org/10.1007/s10393-009-0236-y}, volume = {6}, year = {2009} }

TY - JOUR ID - Linard2009_abm_malaria L3 - citeulike-article-id:4566434 N2 - Abstract  The Camargue, a region in southern France, is considered a potential site for malaria reemergence. All the suitable factors of the disease transmission system are present—competent mosquito vectors, habitats for their breeding, and susceptible people—except for the parasite. The objective of this study was to test potential drivers of malaria reemergence in this system after possible changes in biological attributes of vectors, agricultural practices, land use, tourism activities, and climate. Scenarios of plausible futures were formulated and then simulated using a spatially explicit and dynamic multiagent simulation: the MALCAM model. Scenarios were developed by varying the value of model inputs. Model outputs were compared based on the contact rate between people and potential malaria vectors, and the number of new infections in case of reintroduction of the parasite in the region. Model simulations showed that the risk of malaria reemergence is low in the Camargue. If the disease would reemerge, it would be the result of a combination of unfavorable conditions: introduction of a large population of infectious people or mosquitoes, combined with high levels of people–vector contacts resulting from significant changes in land use, tourism activities, agricultural policies, biological evolution of mosquitoes, and climate changes. The representation in the MALCAM model of interactions and feedbacks between different agents, and between agents and their environment, led in some cases to counterintuitive results. Results from scenario analyses can help local public health authorities in policy formulation. IS - 1 JF - EcoHealth EP - 147 TI - Risk of Malaria Reemergence in Southern France: Testing Scenarios with a Multiagent Simulation Model VL - 6 SP - 135 KW - abm KW - disease KW - gis KW - malaria KW - simulation AU - Linard, Catherine AU - Ponçon, Nicolas AU - Fontenille, Didier AU - Lambin, Eric PY - 2009/03/01/ UR - http://dx.doi.org/10.1007/s10393-009-0236-y ER -