Revisiting immunity vs. exposure in schistosomiasis: a mathematical modeling study of delayed concomitant immunity
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Published version
Author(s)
Type
Journal Article
Abstract
The relative contributions of exposure vs. acquired immunity to the epidemiology of human schistosomiasis has been long debated. While there is considerable evidence that humans acquire partial immunity to infection, age- and sex-related contact patterns with water bodies contaminated with infectious cercarial schistosome larvae also contribute to typical epidemiological profiles of infection. Here, we develop a novel schistosome transmission model that incorporates both partially protective “delayed concomitant” acquired immunity—stimulated by dying worms—and host age- and sex-dependent patterns of exposure. We use a contemporary Bayesian approach to fit the model to historical individual data on exposure to infectious cercaria, eggs per gram of feces, and immunoglobulin E antibodies specific to Schistosoma mansoni Tegumental-Allergen-Like protein 1 collected from a highly endemic community in Uganda, estimating the relative contributions of exposure and acquired immunity. We find that model variants incorporating or omitting delayed concomitant immunity describe equally well the age- and sex-specific immunoepidemiological patterns observed before intervention and 18 months after treatment. Over longer time horizons, we find that acquired immunity creates subtle differences in immunoepidemiological profiles during routine mass drug administration that may confer resilience against elimination. We discuss our findings in the broader context of the immunoepidemiology of schistosomiasis.
Editor(s)
An, Zhiqiang
Date Issued
2024-10
Date Acceptance
2024-10-09
Citation
PNAS Nexus, 2024, 3 (10)
ISSN
2752-6542
Publisher
Oxford University Press
Journal / Book Title
PNAS Nexus
Volume
3
Issue
10
Copyright Statement
© The Author(s) 2024. Published by Oxford University Press on behalf of National Academy of Sciences. This is an Open Access article
distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly
cited. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions
can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please
contact journals.permissions@oup.com.
distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly
cited. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions
can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please
contact journals.permissions@oup.com.
License URL
Identifier
http://dx.doi.org/10.1093/pnasnexus/pgae471
Publication Status
Published
Article Number
pgae471
Date Publish Online
2024-10-17
