{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T10:32:59Z","timestamp":1720175579349},"reference-count":22,"publisher":"IGI Global","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,7,1]]},"abstract":"<p>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.<\/p>","DOI":"10.4018\/jats.2011070102","type":"journal-article","created":{"date-parts":[[2011,10,20]],"date-time":"2011-10-20T14:36:01Z","timestamp":1319121361000},"page":"17-34","source":"Crossref","is-referenced-by-count":14,"title":["A Spatial Agent-Based Model of Malaria"],"prefix":"10.4018","volume":"3","author":[{"given":"S. M. Niaz","family":"Arifin","sequence":"first","affiliation":[{"name":"University of Notre Dame, USA"}]},{"given":"Gregory J.","family":"Davis","sequence":"additional","affiliation":[{"name":"University of Notre Dame, USA"}]},{"given":"Ying","family":"Zhou","sequence":"additional","affiliation":[{"name":"University of Notre Dame, USA"}]}],"member":"2432","reference":[{"key":"jats.2011070102-0","doi-asserted-by":"crossref","unstructured":"Arifin, S. M. N., Davis, G. J., Kurtz, S., Gentile, J. E., Zhou, Y., & Madey, G. R. (2010a, December). Divide and conquer: A four-fold docking experience of agent-based models. In Proceedings of the Winter Simulation Conference, Baltimore, MD.","DOI":"10.1109\/WSC.2010.5679130"},{"key":"jats.2011070102-1","unstructured":"Arifin, S. M. N., Davis, G. J., & Zhou, Y. (2011, April). Modeling space in an agent-based model of malaria: Comparison between non-spatial and spatial models. In Proceedings of the Agent-Directed Simulation, Boston, MA."},{"key":"jats.2011070102-2","unstructured":"Arifin, S. M. N., Davis, G. J., Zhou, Y., & Madey, G. R. (2010b, July). Verification & validation by docking: A case study of agent-based models of Anopheles gambiae. 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In Proceedings of the Agent-Directed Simulation Conference, Huntsville, AL."},{"issue":"3","key":"jats.2011070102-12","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.jtbi.2004.08.021","article-title":"An integrated model of Plasmodium falciparum dynamics.","volume":"232","author":"F. E.McKenzie","year":"2005","journal-title":"Journal of Theoretical Biology"},{"key":"jats.2011070102-13","doi-asserted-by":"publisher","DOI":"10.1177\/003754979807100405"},{"key":"jats.2011070102-14","doi-asserted-by":"publisher","DOI":"10.1186\/1475-2875-4-23"},{"key":"jats.2011070102-15","doi-asserted-by":"publisher","DOI":"10.1016\/j.tree.2005.03.009"},{"key":"jats.2011070102-16","unstructured":"Recursive Porous Agent Simulation Toolkit (Repast). (2011). The repast suite. Retrieved from http:\/\/repast.sourceforge.net"},{"key":"jats.2011070102-17","unstructured":"Vries, P. (2001, May 16-17). Modelling malaria risk: An individual based and spatial explicit approach. In Proceedings of the Workshop on Spatial Aspects of Demography, Rostock, Germany."},{"key":"jats.2011070102-18","unstructured":"World Health Organization (WHO). (2011). Malaria facts. Retrieved from http:\/\/www.who.int\/mediacentre\/factsheets\/fs094\/en\/"},{"key":"jats.2011070102-19","unstructured":"Xiang, X., Kennedy, R., Madey, G. R., & Cabaniss, S. (2005, April). Verification and validation of agent-based scientific simulation models. In Proceedings of the Agent-Directed Simulation Conference, San Diego, CA."},{"key":"jats.2011070102-20","unstructured":"Zhou, Y., Arifin, S. M. N., Gentile, J., Kurtz, S. J., Davis, G. J., & Wendelberger, B. A. (2010, July). An agent-based model of the Anopheles gambiae mosquito life cycle. In Proceedings of the Summer Computer Simulation Conference, Ottawa, ON, Canada."},{"key":"jats.2011070102-21","author":"G. 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