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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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Publisher copy:
10.1016/j.epidem.2023.100724

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Oxford college:
Christ Church
Role:
Author
ORCID:
0000-0001-8545-5212


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:
1755-4365


Language:
English
Keywords:
Pubs id:
1556900
Local pid:
pubs:1556900
Deposit date:
2023-11-01
ARK identifier:

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