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Knowledge of who infected whom during an outbreak of an infectious disease is important to determine risk factors for transmission and to design effective control measures. Both whole-genome sequencing of pathogens and epidemiological data provide useful information about the transmission events and underlying processes. Existing models to infer transmission trees usually assume that the pathogen is introduced only once from outside into the population of interest. However, this is not always true. For instance, SARS-CoV-2 is suggested to be introduced multiple times in mink farms in the Nethe... Mehr ...

Verfasser: Bastiaan R. Van der Roest
Martin C. J. Bootsma
Egil A. J. Fischer
Don Klinkenberg
Mirjam E. E. Kretzschmar
Dokumenttyp: Text
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-26676508
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.1371/journal.pcbi.1010928.s001