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|Appears in Collections:||Computing Science and Mathematics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||A discrete event system specification (DEVS)-based model of consanguinity|
Niazi, Muaz A K
Neural networks Computer science
Artificial intelligence Computer programs
|Citation:||Akhtar N, Niazi MAK, Mustafa F & Hussain A (2011) A discrete event system specification (DEVS)-based model of consanguinity. Journal of Theoretical Biology, 285 (1), pp. 103-112. https://doi.org/10.1016/j.jtbi.2011.05.038|
|Abstract:||Consanguinity or inter-cousin marriage is a phenomenon quite prevalent in certain regions around the globe. Consanguineous parents have a higher risk of having offspring with congenital disorders. It is difficult to model large scale consanguineous parental populations because of disparate cultural issues unique to regions and cultures across the globe. Although consanguinity has previously been studied as a social problem, it has not been modeled from a biological perspective. Discrete event system specification (DEVS) is a powerful modeling formalism for the study of intricate details of real-world complex systems. In this paper, we have developed a DEVS model to get an insight into the role of consanguineous marriages in the evolution of congenital disorders in a population. As proof-of-concept, we further developed a consanguinity simulation model in Simio simulation software. Simulation results validated using population growth data show the effectiveness of this approach in the modeling of consanguinity in populations.|
|Rights:||Published in Journal of Theoretical Biology by Elsevier.; This is the peer reviewed version of this article.; NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Theoretical Biology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Theoretical Biology, VOL 285, ISSUE 1, (September 2011). DOI: 10.1016/j.jtbi.2011.05.038.|
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