A discrete event system specification (DEVS)-based model of consanguinity

Noreen Akhtar, Muaz Niazi, Farah Mustafa, Amir Hussain

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)103-112
Number of pages10
JournalJournal of Theoretical Biology
Volume285
Issue number1
DOIs
Publication statusPublished - Sep 21 2011
Externally publishedYes

Keywords

  • Complex systems
  • Congenital disorder
  • Consanguineous marriages
  • DEVS formalism
  • Simulation

ASJC Scopus subject areas

  • Statistics and Probability
  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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