About: Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry

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About: Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry
Creator	House, Thomas Bilson, Samuel Buckingham-Jeffery, Elizabeth Ford, Ashley Girolami, Mark Lan, Shiwei
Source	Medline; PMC
abstract	Infectious diseases exert a large and in many contexts growing burden on human health, but violate most of the assumptions of classical epidemiological statistics and hence require a mathematically sophisticated approach. Viral shedding data are collected during human studies—either where volunteers are infected with a disease or where existing cases are recruited—in which the levels of live virus produced over time are measured. These have traditionally been difficult to analyse due to strong, complex correlations between parameters. Here, we show how a Bayesian approach to the inverse problem together with modern Markov chain Monte Carlo algorithms based on information geometry can overcome these difficulties and yield insights into the disease dynamics of two of the most prevalent human pathogens—influenza and norovirus—as well as Ebola virus disease.
has issue date	2016-08-01(xsd:dateTime)
bibo:doi	10.1098/rsif.2016.0279
bibo:pmid	27558850
has license	cc-by
sha1sum (hex)	8f9e4f6b34a4b30f54abef008fc8c0fde00ff02f
schema:url	https://doi.org/10.1098/rsif.2016.0279
resource representing a document's title	Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry
has PubMed Central identifier	PMC5014059
has PubMed identifier	27558850
schema:publication	J R Soc Interface
resource representing a document's body	covid:8f9e4f6b34a4b30f54abef008fc8c0fde00ff02f#body_text
is schema:about of	named entity 'INSIGHTS' named entity 'DIFFICULTIES' named entity 'BAYESIAN APPROACH' named entity 'DISEASE DYNAMICS' named entity 'DATA' named entity 'BASED' named entity 'EXERT' named entity 'PROBLEM' named entity 'GEOMETRY' named entity 'YIELD' named entity 'LIVE' named entity 'STRONG' named entity 'INFLUENZA' named entity 'MONTE CARLO ALGORITHMS' named entity 'BURDEN' named entity 'INFECTIOUS DISEASES' named entity 'BUT' named entity 'CONTEXTS' named entity 'COLLECTED' named entity 'EITHER' named entity 'THESE' named entity 'Ebola virus disease' named entity 'human' named entity 'transmissibility' named entity 'INFORMATION' named entity 'DISEASE' named entity 'EBOLA VIRUS DISEASE' named entity 'EPIDEMIOLOGICAL STATISTICS' named entity 'GROWING' named entity 'INFECTED' named entity 'VIRAL SHEDDING' named entity 'DIFFICULT' named entity 'HERE' named entity 'PATHOGENS' named entity 'HUMAN STUDIES' named entity 'MARKOV CHAIN MONTE CARLO' named entity 'PARAMETERS' named entity 'CORRELATIONS' named entity 'HOW' named entity 'WHERE' named entity 'OVERCOME' named entity 'QUANTIFICATION' named entity 'USING' named entity 'UNCERTAINTY' named entity 'INFLUENZA' named entity 'GEOMETRY' named entity 'DUE TO' named entity 'CASES' named entity 'HAVE' named entity 'TIME' named entity 'VIRUS' named entity 'COMPLEX' named entity 'LEVELS' named entity 'LARGE' named entity 'APPROACH' named entity 'INFORMATION' named entity 'NOROVIRUS' named entity 'EBOLA' named entity 'HUMAN' named entity 'CLASSICAL' named entity 'VOLUNTEERS' named entity 'MEASURED' named entity 'INVERSE' named entity 'NOROVIRUS' named entity 'PREVALENT' named entity 'HUMAN HEALTH' named entity 'mathematically' named entity 'violate' named entity 'disease' named entity 'infected' named entity 'volunteers' named entity 'Ebola virus disease' named entity 'influenza' named entity 'human studies' named entity 'uncertainty quantification' named entity 'norovirus'

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