Simulation modelling techniques for managing epidemic outbreak: A review, classification schemes, and meta-analysis
Rashmi Singh and
M. Mathirajan
Journal of Simulation, 2023, vol. 17, issue 6, 709-728
Abstract:
The purpose of this paper is to enhance the knowledge base for simulation modelling techniques that have been used extensively in the literature to tackle the epidemic outbreak. In this paper, 79 articles are identified and reviewed between 2005 and 2020 to understand many problems related to the spread of the disease, scarce resource management, and the influence of mitigation strategies to contain the epidemic outbreak. The objective is to recognise the importance of simulation modelling techniques to effectively handle these problems and discuss how and when a particular technique can be used to provide satisfactory solutions for difficulties posed by an epidemic outbreak. This paper presents a literature review, classification schemes, and a simple meta-analysis to help decision-makers make informed decisions to curtail the epidemic outbreak.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/17477778.2022.2067012 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:17:y:2023:i:6:p:709-728
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20
DOI: 10.1080/17477778.2022.2067012
Access Statistics for this article
Journal of Simulation is currently edited by Christine Currie
More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().