Journal article
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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.0MB, Terms of use)
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- Publisher copy:
- 10.1016/j.epidem.2023.100724
Authors
- Publisher:
- Elsevier
- Journal:
- Epidemics More from this journal
- Volume:
- 45
- Article number:
- 100724
- Publication date:
- 2023-10-30
- Acceptance date:
- 2023-10-26
- DOI:
- ISSN:
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1755-4365
- Language:
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English
- Keywords:
- Pubs id:
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1556900
- Local pid:
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pubs:1556900
- Deposit date:
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2023-11-01
- ARK identifier:
Terms of use
- Copyright holder:
- Doran et al.
- Copyright date:
- 2023
- Rights statement:
- © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license.
- Licence:
- CC Attribution (CC BY)
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