Analysis of simulated outbreaks with similar parameter values as the SARS-CoV-2 outbreak in mink farms.

(A) The mean estimated median number of introductions. The black line indicates the simulated number of introductions. (B) Percentage of correctly identified infectors. The grey bar indicates cases for which the true infector has the highest posterior weight. The transparent bar indicates cases for which the true infector is contained in the smallest set of candidate infectors with at least 95% of the posterior weight. (C) Classification of the falsely identified infectors based on highest support. (C) Classification of the falsely identified infectors based on highest support. The grey bars i... Mehr ...

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Verfasser: Bastiaan R. Van der Roest
Martin C. J. Bootsma
Egil A. J. Fischer
Don Klinkenberg
Mirjam E. E. Kretzschmar
Dokumenttyp: Image
Erscheinungsdatum: 2023
Schlagwörter: Medicine / Biotechnology / Evolutionary Biology / Ecology / Cancer / Infectious Diseases / Computational Biology / Biological Sciences not elsewhere classified / Mathematical Sciences not elsewhere classified / Information Systems not elsewhere classified / determine risk factors / aid infection control / multiple phylogenetic clusters / method correctly identifies / bayesian inference method / infectious disease outbreaks / div >< p / dutch mink farms / introduced multiple times / estimate transmission trees / genome sequencing data / infectious disease / genome sequencing / mink farms / transmission trees / multiple introductions / 63 farms / 13 farms / transmission routes / transmission events / single introduction / priori split / phybreak </ / observed cases / new feature / host dynamics / existing models / epidemiological data / complex class / always true / additional feature / accuracy depending
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-29034405
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.1371/journal.pcbi.1010928.s007

(A) The mean estimated median number of introductions. The black line indicates the simulated number of introductions. (B) Percentage of correctly identified infectors. The grey bar indicates cases for which the true infector has the highest posterior weight. The transparent bar indicates cases for which the true infector is contained in the smallest set of candidate infectors with at least 95% of the posterior weight. (C) Classification of the falsely identified infectors based on highest support. (C) Classification of the falsely identified infectors based on highest support. The grey bars indicate the correctly identified infectors. S: single transmission cluster involved, M: multiple transmission clusters involved. For the infector of a host: C→C: case becomes case, H→C: history becomes case, C→H: case becomes history. (TIF)