A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015

Tuberculosis (TB) remains a public health threat in low TB incidence countries, through a combination of reactivated disease and onward transmission. Using surveillance data from the United Kingdom (UK) and the Netherlands (NL), we demonstrate a simple and predictable relationship between the probability of observing a cluster and its size (the number of cases with a single genotype). We demonstrate that the full range of observed cluster sizes can be described using a modified branching process model with the individual reproduction number following a Poisson lognormal distribution. We estima... Mehr ...

Verfasser: Brooks Pollock, Ellen
Danon, Leon
Korthals Altes, Hester
Davidson, Jennifer A.
Pollock, Andrew M. T.
Van Soolingen, Dick
Campbell, Colin
Lalor, Maeve K.
Dokumenttyp: Artikel
Erscheinungsdatum: 2020
Reihe/Periodikum: Brooks Pollock , E , Danon , L , Korthals Altes , H , Davidson , J A , Pollock , A M T , Van Soolingen , D , Campbell , C & Lalor , M K 2020 , ' A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015 ' , PLoS Computational Biology , vol. 16 , no. 3 , e1007687 . https://doi.org/10.1371/journal.pcbi.1007687 , https://doi.org/10.1371/journal.pcbi.1007687
Schlagwörter: tuberculosis clustering / low-incidence countries / transmission / mathematical modelling
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26820657
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://hdl.handle.net/1983/8dfece95-94ce-4c7b-a5fa-583e636e647c