Title |
Unveiling Time in Dose-Response Models to Infer Host Susceptibility to Pathogens
|
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Published in |
PLoS Computational Biology, August 2014
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DOI | 10.1371/journal.pcbi.1003773 |
Pubmed ID | |
Authors |
Delphine Pessoa, Caetano Souto-Maior, Erida Gjini, Joao S. Lopes, Bruno Ceña, Cláudia T. Codeço, M. Gabriela M. Gomes |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Portugal | 1 | 2% |
Unknown | 43 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 27% |
Student > Ph. D. Student | 8 | 18% |
Professor > Associate Professor | 5 | 11% |
Student > Doctoral Student | 4 | 9% |
Student > Bachelor | 3 | 7% |
Other | 7 | 16% |
Unknown | 6 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 36% |
Medicine and Dentistry | 6 | 13% |
Biochemistry, Genetics and Molecular Biology | 5 | 11% |
Immunology and Microbiology | 4 | 9% |
Environmental Science | 2 | 4% |
Other | 5 | 11% |
Unknown | 7 | 16% |