Foodborne transmission of norovirus: mechanism modelling, seasonality and policy implications (2020 System Dynamics Applications Award paper)

David C. Lane, Elke Husemann, Darren Holland and Abdul Khaled

System Dynamics Review, 2022, vol. 38, issue 4, 374-397

Abstract: The article describes a study of the foodborne transmission mechanisms for norovirus. It was undertaken for the U.K. Food Standards Agency and received the System Dynamics Society's 2020 “System Dynamics Applications Award”. The article opens with descriptions of norovirus, the organisational context and the aims of the study. The first phase involved the construction of a large, fully formulated SD simulation model which included person‐to‐person mechanisms and, newly built, food‐related mechanisms for norovirus transmission. The group modelling process and the model structure are described. The model's existence demonstrated that enough was known about foodborne mechanisms to create an explicit and carefully documented representation that specialists recognised, understood, and accepted. Additionally, a framework for analysing the model's parameters—some currently unknown—helped organise FSA thinking on future research and potential policy levers. A second phase used mathematical analysis of a simplified SD model to assess the relative scale of the foodborne effects. In terms of contributions, this generated insights into possible sources of seasonality and insights into whether the most effective leverage points in the system lay solely within the remit of the FSA or were also within the remits of other government departments. The article closes by summarising the findings and then exploring their policy implications and recording the client's reactions to them. © 2022 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/sdr.1719

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:bla:sysdyn:v:38:y:2022:i:4:p:374-397

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0883-7066

Access Statistics for this article

More articles in System Dynamics Review from System Dynamics Society
Bibliographic data for series maintained by Wiley Content Delivery ().