Mathematical methods for scaling from within-host to population-scale in infectious disease systems

James W. G. Doran; Robin N. Thompson; Christian A. Yates; Ruth Bowness

doi:10.1016/j.epidem.2023.100724

Mathematical methods for scaling from within-host to population-scale in infectious disease systems

James W. G. Doran, Robin N. Thompson, Christian A. Yates, Ruth Bowness

Centre for Mathematical Biology

Research output: Contribution to journal › Review article › peer-review

1 Citation (SciVal)

Abstract

Mathematical modellers model infectious disease dynamics at different scales. Within-host models represent the spread of pathogens inside an individual, whilst between-host models track transmission between individuals. However, pathogen dynamics at one scale affect those at another. This has led to the development of multiscale models that connect within-host and between-host dynamics. In this article, we systematically review the literature on multiscale infectious disease modelling according to PRISMA guidelines, dividing previously published models into five categories governing their methodological approaches (Garira (2017)), explaining their benefits and limitations. We provide a primer on developing multiscale models of infectious diseases.

Original language	English
Article number	100724
Number of pages	10
Journal	Epidemics
Volume	45
Early online date	30 Oct 2023
DOIs	https://doi.org/10.1016/j.epidem.2023.100724
Publication status	Published - 31 Dec 2023

Bibliographical note

Funding Information:
This work was supported by the Medical Research Council, United Kingdom [grant number MR/P014704/1 ]; the Academy of Medical Sciences (London) ; the Wellcome Trust, United Kingdom ; the UK Government Department of Business, Energy and Industrial Strategy ; the British Heart Foundation, United Kingdom ; and the Global Challenges Research Fund, United Kingdom [grant number SBF003/1052 ].

Keywords

Between-host
Infectious diseases
Multiscale
Within-host

ASJC Scopus subject areas

Public Health, Environmental and Occupational Health
Infectious Diseases
Epidemiology
Virology
Parasitology
Microbiology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.epidem.2023.100724Licence: CC BY

Cite this

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title = "Mathematical methods for scaling from within-host to population-scale in infectious disease systems",

abstract = "Mathematical modellers model infectious disease dynamics at different scales. Within-host models represent the spread of pathogens inside an individual, whilst between-host models track transmission between individuals. However, pathogen dynamics at one scale affect those at another. This has led to the development of multiscale models that connect within-host and between-host dynamics. In this article, we systematically review the literature on multiscale infectious disease modelling according to PRISMA guidelines, dividing previously published models into five categories governing their methodological approaches (Garira (2017)), explaining their benefits and limitations. We provide a primer on developing multiscale models of infectious diseases.",

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author = "Doran, {James W. G.} and Thompson, {Robin N.} and Yates, {Christian A.} and Ruth Bowness",

note = "Funding Information: This work was supported by the Medical Research Council, United Kingdom [grant number MR/P014704/1 ]; the Academy of Medical Sciences (London) ; the Wellcome Trust, United Kingdom ; the UK Government Department of Business, Energy and Industrial Strategy ; the British Heart Foundation, United Kingdom ; and the Global Challenges Research Fund, United Kingdom [grant number SBF003/1052 ]. ",

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AU - Doran, James W. G.

AU - Thompson, Robin N.

AU - Yates, Christian A.

AU - Bowness, Ruth

N1 - Funding Information: This work was supported by the Medical Research Council, United Kingdom [grant number MR/P014704/1 ]; the Academy of Medical Sciences (London) ; the Wellcome Trust, United Kingdom ; the UK Government Department of Business, Energy and Industrial Strategy ; the British Heart Foundation, United Kingdom ; and the Global Challenges Research Fund, United Kingdom [grant number SBF003/1052 ].

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N2 - Mathematical modellers model infectious disease dynamics at different scales. Within-host models represent the spread of pathogens inside an individual, whilst between-host models track transmission between individuals. However, pathogen dynamics at one scale affect those at another. This has led to the development of multiscale models that connect within-host and between-host dynamics. In this article, we systematically review the literature on multiscale infectious disease modelling according to PRISMA guidelines, dividing previously published models into five categories governing their methodological approaches (Garira (2017)), explaining their benefits and limitations. We provide a primer on developing multiscale models of infectious diseases.

AB - Mathematical modellers model infectious disease dynamics at different scales. Within-host models represent the spread of pathogens inside an individual, whilst between-host models track transmission between individuals. However, pathogen dynamics at one scale affect those at another. This has led to the development of multiscale models that connect within-host and between-host dynamics. In this article, we systematically review the literature on multiscale infectious disease modelling according to PRISMA guidelines, dividing previously published models into five categories governing their methodological approaches (Garira (2017)), explaining their benefits and limitations. We provide a primer on developing multiscale models of infectious diseases.

KW - Between-host

KW - Infectious diseases

KW - Multiscale

KW - Within-host

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Mathematical methods for scaling from within-host to population-scale in infectious disease systems

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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