Assessing the Impact of Non-Pharmaceutical Interventions on Disease Infection in the Public Health Sector: A Hybrid Simulation Approach

Abstract

This study investigates the impact of Non-Pharmaceutical Interventions (NPIs), including the use of Cotton Fabric Masks and social distancing, on disease infections, such as COVID-19, and exposure rates within waiting areas of an emergency department. Employing a Multi-Agent Simulation approach, the research models patient flow, with each agent representing a physical entity governed by predefined attributes and rules. The objective is to assess the performance of preventive measures quantitatively based on agent proximity and exposure time. Findings indicate that facemask usage reduces infections, and both facemask adherence and social distancing contribute to lower infection rates. The study highlights the similarity in effect between social distancing and a 20% facemask adherence rate. Additionally, it underscores that as more agents adopt facemasks, the time needed for exposure increases. Waiting areas emerge as potential hotspots for transmission.

Publication DOI: https://doi.org/10.1504/IJSPM.2024.141987
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences
Aston University (General)
Additional Information: Copyright © 2024, Inderscience Enterprises Ltd. This is an accepted manuscript of the article: Shbool, M.A., Al-Bazi, A., Zureigat, L. and Mahafzah, A.M., 2024. Assessing the impact of non-pharmaceutical interventions on disease infection in the public health sector: a hybrid simulation approach. International Journal of Simulation and Process Modelling, 21(2), pp.130-146. The published version is available at: https://doi.org/10.1504/ijspm.2024.141987
Uncontrolled Keywords: COVID-19 exposure,NPIs,disease infection,hybrid simulation,non-pharmaceutical interventions,public healthcare,waiting areas,Modelling and Simulation,Computer Science Applications,Applied Mathematics
Publication ISSN: 1740-2131
Last Modified: 18 Dec 2024 18:24
Date Deposited: 15 Nov 2024 14:22
Full Text Link:
Related URLs: https://www.ind ... s.php?id=141987 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2024-10-04
Published Online Date: 2024-10-04
Accepted Date: 2024-02-16
Authors: Shbool, Mohammad A.
Al-Bazi, Dr Ammar (ORCID Profile 0000-0002-5057-4171)
Zureigat, Laith
Mahafzah, Azmi M.

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Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 4 October 2025.

License: Creative Commons Attribution Non-commercial No Derivatives


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