Modeling malaria as a complex adaptive system
Artificial Life
A framework for modeling mosquito vectors
Proceedings of the 2010 Summer Computer Simulation Conference
An agent-based model of the Anopheles gambiae mosquito life cycle
Proceedings of the 2010 Summer Computer Simulation Conference
Verification & validation by docking: a case study of agent-based models of Anopheles gambiae
Proceedings of the 2010 Summer Computer Simulation Conference
Modeling space in an agent-based model of malaria: comparison between non-spatial and spatial models
Proceedings of the 2011 Workshop on Agent-Directed Simulation
Divide and conquer: a four-fold docking experience of agent-based models
Proceedings of the Winter Simulation Conference
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In agent-based modeling ABM, an explicit spatial representation may be required for certain aspects of the system to be modeled realistically. A spatial ABM includes landscapes in which agents seek resources necessary for their survival. The spatial heterogeneity of the underlying landscape plays a crucial role in the resource-seeking process. This study describes a previous agent-based model of malaria, and the modeling of its spatial extension. In both models, all mosquito agents are represented individually. In the new spatial model, the agents also possess explicit spatial information. Within a landscape, adult female mosquito agents search for two types of resources: aquatic habitats AHs and bloodmeal locations BMLs. These resources are specified within different spatial patterns, or landscapes. Model verification between the non-spatial and spatial models by means of docking is examined. Using different landscapes, the authors show that mosquito abundance remains unchanged. With the same overall system capacity, varying the density of resources in a landscape does not affect abundance. When the density of resources is constant, the overall capacity drives the system. For the spatial model, using landscapes with different resource densities of both resource-types, the authors show that spatial heterogeneity influences the mosquito population.