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Detecting within-host interactions using genotype combination prevalence datause asterix (*) to get italics
Samuel Alizon, Carmen Lía Murall, Emma Saulnier, Mircea T SofoneaPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
<p>Parasite genetic diversity can provide information on disease transmission dynamics but most methods ignore the exact combinations of genotypes in infections. We introduce and validate a new method that combines explicit epidemiological modelling of coinfections and regression Approximate Bayesian Computing (ABC) to detect within-host interactions. Using genital infections by different types of Human Papillomaviruses (HPVs) as a test case, we show that, if sufficiently strong, within-host parasite interactions can be detected from epidemiological data and that this detection is robust even in the face of host heterogeneity in behaviour. These results suggest that the combination of mathematical modelling and sophisticated inference techniques is promising to extract additional epidemiological information from existing datasets.</p> should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://
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modelling, virus, multiple infections, Approximate Bayesian Computing, within-host interacvtions
NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).
Eco-immunology & Immunity, Epidemiology, Host-parasite interactions, Statistical ecology
No need for them to be recommenders of PCIEcology. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct
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2018-02-01 09:23:26
Dustin Brisson
Samuel Díaz Muñoz, Erick Gagne