Modelling: Understanding pandemics and how to control them

Abstract

New disease challenges, societal demands and better or novel types of data, drive innovations in the structure, formulation and analysis of epidemic models. Innovations in modelling can lead to new insights into epidemic processes and better use of available data, yielding improved disease control and stimulating collection of better data and new data types. Here we identify key challenges for the structure, formulation, analysis and use of mathematical models of pathogen transmission relevant to current and future pandemics.

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Item Type:	Article
Authors/Creators:	Marion, G. Hadley, L. Isham, V. Mollison, D. Panovska-Griffiths, J. Pellis, L. Tomba, G.S. Scarabel, F. https://orcid.org/0000-0003-0250-4555 Swallow, B. Trapman, P. Villela, D.
Copyright, Publisher and Additional Information:	© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords:	Infectious disease models; Behaviour and multi-scale transmission dy-; namics; Within; host dynamics; Pathogen dynamics; Value of information studies
Dates:	Published: 6 June 2022 Published (online): 31 May 2022 Accepted: 26 May 2022
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds)
Depositing User:	Symplectic Publications
Date Deposited:	29 Jan 2024 14:42
Last Modified:	29 Jan 2024 14:42
Published Version:	https://www.sciencedirect.com/science/article/pii/...
Status:	Published
Publisher:	Elsevier
Identification Number:	10.1016/j.epidem.2022.100588
Related URLs:	PubMed URL
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:208329

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Modelling: Understanding pandemics and how to control them

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