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International Journal of Mosquito Research
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Vol. 4, Issue 3, Part B (2017)

Coupling of an agent-based model with a mathematical model of water pond dynamics for studying the impact of animal herd mobility on the Aedes vexans mosquito populations

General structure of the model. We used the unified modeling language (UML) formalism in the representation of entities
Fig. 1: General structure of the model. We used the unified modeling language (UML) formalism in the representation of entities
Flowchart showing the interaction between mosquito agent and animal host agent. This flowchart also shows the behaviors of mosquito agent.
Fig. 2: Flowchart showing the interaction between mosquito agent and animal host agent. This flowchart also shows the behaviors of mosquito agent.
Flowchart showing the interaction between mosquito agent and animal host agent. This flowchart also shows the behaviors of Host agent
Fig. 3: Flowchart showing the interaction between mosquito agent and animal host agent. This flowchart also shows the behaviors of Host agent
Coupling of the various agents with a mathematical model allowing water pond agent to update the volume of water.
Fig. 4: Coupling of the various agents with a mathematical model allowing water pond agent to update the volume of water.
CORMAS platform interface showing agents at the first step of simulation.
Fig. 5: CORMAS platform interface showing agents at the first step of simulation.
Dynamics of <em>Aedes vexans</em> mosquito populations during the 2010 rainy season for the degrees of mobility 0 km, 10 km, 20 km and 30 km.
Fig. 6: Dynamics of Aedes vexans mosquito populations during the 2010 rainy season for the degrees of mobility 0 km, 10 km, 20 km and 30 km.
Average number of mosquitoes as function of degree of mobility.
Fig. 7: Average number of mosquitoes as function of degree of mobility.
International Journal of Mosquito Research

International Journal of Mosquito Research

International Journal of Mosquito Research
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