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Pneumococcal population dynamics: Investigating vaccine-induced changes through multiscale modelling.

Authors :
Mulberry N
Rutherford AR
Colijn C
Source :
PLoS computational biology [PLoS Comput Biol] 2023 Dec 28; Vol. 19 (12), pp. e1011755. Date of Electronic Publication: 2023 Dec 28 (Print Publication: 2023).
Publication Year :
2023

Abstract

The mechanisms behind vaccine-induced strain replacement in the pneumococcus remain poorly understood. There is emerging evidence that distinct pneumococcal lineages can co-colonise for significant time periods, and that novel recombinants can readily emerge during natural colonisation. Despite this, patterns of post-vaccine replacement are indicative of competition between specific lineages. Here, we develop a multiscale transmission model to investigate explicitly how within host dynamics shape observed ecological patterns, both pre- and post-vaccination. Our model framework explores competition between and within strains defined by distinct antigenic, metabolic and resistance profiles. We allow for strains to freely co-colonise and recombine within hosts, and consider how each of these types may contribute to a strain's overall fitness. Our results suggest that antigenic and resistance profiles are key drivers of post-vaccine success.<br />Competing Interests: The authors have declared that no competing interests exist.<br /> (Copyright: © 2023 Mulberry et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Details

Language :
English
ISSN :
1553-7358
Volume :
19
Issue :
12
Database :
MEDLINE
Journal :
PLoS computational biology
Publication Type :
Academic Journal
Accession number :
38153948
Full Text :
https://doi.org/10.1371/journal.pcbi.1011755