Nepomuceno, Erivelton and Resende, Denise and Lacerda, Márcio J. (2018) A Survey of the Individual-Based Model applied in Biomedical and Epidemiology. Journal of Biomedical Research and Reviews, 1 (1). ISSN 2581-7388

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Abstract

Individual-based model (IBM) has been used to simulate and to design control strategies for dynamic systems that are subject to stochasticity and heterogeneity, such as infectious diseases. In the IBM, an individual is represented by a set of specific characteristics that may change dynamically over time. This feature allows a more realistic analysis of the spread of an epidemic. This paper presents a literature survey of IBM applied to biomedical and epidemiology research. The main goal is to present existing techniques, advantages and future perspectives in the development of the model. We evaluated 89 articles, which mostly analyze interventions aimed at endemic infections. In addition to the review, an overview of IBM is presented as an alternative to complement or replace compartmental models, such as the SIR (Susceptible-Infected-Recovered) model. Numerical simulations also illustrate the capabilities of IBM, as well as some limitations regarding the effects of discretization. We show that similar side-effects of discretization scheme for compartmental models may also occur in IBM, which requires careful attention.

Item Type:	Article
Keywords:	Individual-based model; Epidemiology; Infectious diseases; Biomedical research;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	16759
Depositing User:	Erivelton Nepomuceno
Date Deposited:	29 Nov 2022 16:38
Journal or Publication Title:	Journal of Biomedical Research and Reviews
Publisher:	innovationinfo
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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