About: Exploring the nuances of R0: Eight estimates and application to 2009 pandemic influenza

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Exploring the nuances of R0: Eight estimates and application to 2009 pandemic influenza
Creator	Chang, Andersen Gallagher, Shannon
source	ArXiv
abstract	For nearly a century, the initial reproduction number (R0) has been used as a one number summary to compare outbreaks of infectious disease, yet there is no `standard' estimator for R0. Difficulties in estimating R0 arise both from how a disease transmits through a population as well as from differences in statistical estimation method. We describe eight methods used to estimate R0 and provide a thorough simulation study of how these estimates change in the presence of different disease parameters. As motivation, we analyze the 2009 outbreak of the H1N1 pandemic influenza in the USA and compare the results from our eight methods to a previous study. We discuss the most important aspects from our results which effect the estimation of R0, which include the population size, time period used, and the initial percent of infectious individuals. Additionally, we discuss how pre-processing incidence counts may effect estimates of R0. Finally, we provide guidelines for estimating point estimates and confidence intervals to create reliable, comparable estimates of R0.
has issue date	2020-03-23(xsd:dateTime)
has license	arxiv
sha1sum (hex)	23a8045db90c6b6130dbe705c90d6ad7a4565a0b
resource representing a document's title	Exploring the nuances of R0: Eight estimates and application to 2009 pandemic influenza
resource representing a document's body	covid:23a8045db90c6b6130dbe705c90d6ad7a4565a0b#body_text
is schema:about of	named entity 'initial' named entity 'USA' named entity 'standard' named entity 'reproduction' named entity 'time' »more»

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