Unveiling time in dose-response models to infer host susceptibility to pathogens

Pessoa, Delphine and Souto-Maior, Caetano and Gjini, Erida and Lopes, Joao S. and Ceña, Bruno and Codeço, Cláudia T. and Gomes, M. Gabriela M. (2014) Unveiling time in dose-response models to infer host susceptibility to pathogens. PLoS Computational Biology, 10 (8). pp. 1-9. e1003773. ISSN 1553-734X (https://doi.org/10.1371/journal.pcbi.1003773)

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Abstract

The biological effects of interventions to control infectious diseases typically depend on the intensity of pathogen challenge. As much as the levels of natural pathogen circulation vary over time and geographical location, the development of invariant efficacy measures is of major importance, even if only indirectly inferrable. Here a method is introduced to assess host susceptibility to pathogens, and applied to a detailed dataset generated by challenging groups of insect hosts (Drosophila melanogaster) with a range of pathogen (Drosophila C Virus) doses and recording survival over time. The experiment was replicated for flies carrying the Wolbachia symbiont, which is known to reduce host susceptibility to viral infections. The entire dataset is fitted by a novel quantitative framework that significantly extends classical methods for microbial risk assessment and provides accurate distributions of symbiont-induced protection. More generally, our data-driven modeling procedure provides novel insights for study design and analyses to assess interventions.

  • Item type:Article
    ID code:72737
    Dates:
    Date
    Event
    14 August 2014
    Published
    27 June 2014
    Accepted
    Notes:Pessoa D, Souto-Maior C, Gjini E, Lopes JS, Ceña B, Codeço CT, et al. (2014) Unveiling Time in Dose-Response Models to Infer Host Susceptibility to Pathogens. PLoS Comput Biol 10(8): e1003773. https://doi.org/10.1371/journal.pcbi.1003773
    Subjects:Science > Mathematics
    Medicine
    Department:Faculty of Science > Mathematics and Statistics
    Depositing user: Pure Administrator
    Date deposited:11 Jun 2020 15:28
    Last modified:11 Nov 2024 12:42
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/72737
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