Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.7/346
Título: Unveiling time in dose-response models to infer host susceptibility to pathogens
Autor: Pessoa, Delphine
Souto-Maior, Caetano
Gjini, Erida
Lopes, Joao S
Ceña, Bruno
Codeço, Cláudia T
Gomes, M Gabriela M
Palavras-chave: Pathogens
Data: 14-Ago-2014
Editora: PLOS
Citação: Pessoa D, Souto-Maior C, Gjini E, Lopes JS, Cen ̃ a B, et al. (2014) Unveiling Time in Dose-Response Models to Infer Host Susceptibility to Pathogens. PLoS Comput Biol 10(8): e1003773. doi:10.1371/journal.pcbi.1003773
Resumo: 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.
Peer review: yes
URI: http://hdl.handle.net/10400.7/346
DOI: 10.1371/journal.pcbi.1003773
Versão do Editor: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003773
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