Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/45148
Title: Developing agent-based models of complex health behaviour.
Authors: Badham, J
Chattoe-Brown, E
Gilbert, N
Chalabi, Z
Kee, F
Hunter, RF
First Published: 2-Oct-2018
Publisher: Elsevier
Citation: Health Place, 2018, 54, pp. 170-177
Abstract: Managing non-communicable diseases requires policy makers to adopt a whole systems perspective that adequately represents the complex causal architecture of human behaviour. Agent-based modelling is a computational method to understand the behaviour of complex systems by simulating the actions of entities within the system, including the way these individuals influence and are influenced by their physical and social environment. The potential benefits of this method have led to several calls for greater use in public health research. We discuss three challenges facing potential modellers: model specification, obtaining required data, and developing good practices. We also present steps to assist researchers to meet these challenges and implement their agent-based model.
DOI Link: 10.1016/j.healthplace.2018.08.022
eISSN: 1873-2054
Links: https://www.sciencedirect.com/science/article/pii/S1353829218301047?via%3Dihub
http://hdl.handle.net/2381/45148
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Sociology

Files in This Item:
File Description SizeFormat 
1-s2.0-S1353829218301047-main.pdfPublished (publisher PDF)555.59 kBAdobe PDFView/Open


Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.