About: Probabilistic reconstruction of measles transmission clusters from routinely collected surveillance data

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Probabilistic reconstruction of measles transmission clusters from routinely collected surveillance data
Creator	Funk, Sebastian Paul, Prabasaj Kucharski, Adam Gastañaduy, Paul Robert, Alexis
source	Medline; PMC
abstract	Pockets of susceptibility resulting from spatial or social heterogeneity in vaccine coverage can drive measles outbreaks, as cases imported into such pockets are likely to cause further transmission and lead to large transmission clusters. Characterizing the dynamics of transmission is essential for identifying which individuals and regions might be most at risk. As data from detailed contact-tracing investigations are not available in many settings, we developed an R package called o2geosocial to reconstruct the transmission clusters and the importation status of the cases from their age, location, genotype and onset date. We compared our inferred cluster size distributions to 737 transmission clusters identified through detailed contact-tracing in the USA between 2001 and 2016. We were able to reconstruct the importation status of the cases and found good agreement between the inferred and reference clusters. The results were improved when the contact-tracing investigations were used to set the importation status before running the model. Spatial heterogeneity in vaccine coverage is difficult to measure directly. Our approach was able to highlight areas with potential for local transmission using a minimal number of variables and could be applied to assess the intensity of ongoing transmission in a region.
has issue date	2020-07-01(xsd:dateTime)
bibo:doi	10.1098/rsif.2020.0084
bibo:pmid	32603651
has license	cc-by
sha1sum (hex)	2629b8b968c174aab5dffc7f45dd66416a098f9a
schema:url	https://doi.org/10.1098/rsif.2020.0084
resource representing a document's title	Probabilistic reconstruction of measles transmission clusters from routinely collected surveillance data
has PubMed Central identifier	PMC7423430
has PubMed identifier	32603651
schema:publication	J R Soc Interface
resource representing a document's body	covid:2629b8b968c174aab5dffc7f45dd66416a098f9a#body_text
is schema:about of	named entity 'called' named entity '737' named entity 'developed' named entity 'transmission' named entity 'model' »more»

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