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Why, when and how should exposure be considered at the within-host scale? A modelling contribution to PRRSv infection

Abstract : Understanding the impact of pathogen exposure on the within-host dynamics and its outcome in terms of infectiousness is a key issue to better understand and control the infection spread. Most experimental and modelling studies tackling this issue looked at the impact of the exposure dose on the infection probability and pathogen load, very few on the within-host immune response. Our aim was to explore the impact on the within-host response not only of the exposure dose, but also of its duration and peak, for contrasted virulence levels. We used an integrative modelling approach of the within-host dynamics at the between-cell level. We focused on the porcine reproductive and respiratory syndrome virus, a major concern for the swine industry. We quantified the impact of exposure and virulence on the viral dynamics and immune response by global sensitivity analyses and descriptive statistics. We found that the area under the viral curve, an indicator of the infection severity, was fully determined by the exposure intensity. The infection duration increased with the strain virulence and, for a given strain, exhibited a positive linear correlation with the exposure intensity logarithm and the exposure duration. Taking into account the exposure intensity is hence necessary. Besides, representing the exposure due to contacts by a single punctual dose would tend to underestimate the infection duration. As the infection severity and duration both contribute to the pig infectiousness, a prolonged exposure of the adequate intensity would be recommended in an immuno-epidemiological context.
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https://hal.inria.fr/hal-01947667
Contributor : Jean-Luc Gouzé <>
Submitted on : Friday, December 7, 2018 - 9:22:45 AM
Last modification on : Wednesday, May 5, 2021 - 11:24:02 AM

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Natacha Go, Catherine Belloc, Caroline Bidot, Suzanne Touzeau. Why, when and how should exposure be considered at the within-host scale? A modelling contribution to PRRSv infection. Mathematical Medicine and Biology, Oxford University Press (OUP), 2019, 36 (2), pp.179-206. ⟨10.1093/imammb/dqy005⟩. ⟨hal-01947667⟩

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