2004
DOI: 10.1128/jcm.42.9.4230-4236.2004
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Use of the Minimum Spanning Tree Model for Molecular Epidemiological Investigation of a Nosocomial Outbreak of Hepatitis C Virus Infection

Abstract: The minimum spanning tree (MST) model was applied to identify the history of transmission of hepatitis C virus (HCV) infection in an outbreak involving five children attending a pediatric oncology-hematology outpatient ward between 1992 and 2000. We collected blood samples from all children attending since 1992, all household contacts, and one health care worker positive for antibody to HCV (anti-HCV). HCV RNA detection was performed with these samples and with smears of routinely collected bone marrow samples… Show more

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Cited by 44 publications
(39 citation statements)
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“…We therefore considered data from a survey of prior publications (1,3,11,13,16,17,19,(22)(23)(24) where MSTs had been used to draw inferences about population structure from various data, including spoligotypes, VNTRs, DNA sequences, and multilocus sequence types (MLST).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We therefore considered data from a survey of prior publications (1,3,11,13,16,17,19,(22)(23)(24) where MSTs had been used to draw inferences about population structure from various data, including spoligotypes, VNTRs, DNA sequences, and multilocus sequence types (MLST).…”
Section: Resultsmentioning
confidence: 99%
“…In reconstructing a nosocomial outbreak of the hepatitis C virus, Spada and colleagues (23) To address these problems, we propose a novel approach to MST analysis, which we have automated through the MSTgold algorithm.…”
Section: Discussionmentioning
confidence: 99%
“…However, sequencing viral strains quickly as an outbreak develops is challenging for multiple reasons, including unspecific/absence of disease symptoms and/or timely sequencing of the viral strains. Thus, molecular data have been mostly used in a retrospective manner to investigate such infectious disease outbreaks as a nosocomial HCV outbreak in Italy (Spada et al, 2004) and Spain (Gonzalez-Candelas et al, 2013), or on a larger scale for influenza (Jombart et al, 2011). Given that now molecular data can be produced faster and at a lower cost than previously, their use in real-life outbreak investigations becomes more attractive and feasible for some diseases.…”
Section: Epidemics On the Micro Scale: Reconstructing The Details Of mentioning
confidence: 99%
“…The most rudimentary way to infer a transmission network from a set of genetic isolates is to construct a tree that minimises the total genetic distance between them, under the assumption that as few mutations as possible were responsible for the observed sequences (18). Each sequence is taken to be uniquely representative of the pathogen strain infecting each host, and the transmission process is not modelled in any way.…”
Section: Within-host Genetic Uniformitymentioning
confidence: 99%