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 |
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BASE |
Link(s) :
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https://hdl.handle.net/1983/8dfece95-94ce-4c7b-a5fa-583e636e647c |