Publication:
Methods of quantifying and visualising outbreaks of tuberculosis using genotypic information

dc.contributor.author Tanaka, Mark en_US
dc.contributor.author Francis, Andrew en_US
dc.date.accessioned 2021-11-25T13:26:45Z
dc.date.available 2021-11-25T13:26:45Z
dc.date.issued 2005 en_US
dc.description.abstract Genotypic data from pathogenic isolates are often used to measure the extent of infectious disease transmission. These methods include phylogenetic reconstruction and the evaluation of clustering indices. The first aim of this paper is to critique current methods used to analyse genotypic data from molecular epidemiological studies of tuberculosis. In particular, by not accounting for the mutation rate of markers, errors arise in making inferences about outbreaks based on genotypic information. The second aim is to suggest a new way to represent genotypic data visually, involving graphs and trees. We also discuss some interpretations and modifications of existing indices. Although our focus is tuberculosis, the methods we discuss are generally applicable to any directly transmissible clonal pathogen. en_US
dc.identifier.issn 1567-1348 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/39646
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.title Methods of quantifying and visualising outbreaks of tuberculosis using genotypic information en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.accessRights.uri http://purl.org/coar/access_right/c_14cb
unsw.identifier.doiPublisher http://dx.doi.org/10.1016/j.meegid.2004.06.001 en_US
unsw.relation.faculty Science
unsw.relation.ispartofjournal Infection, Genetics and Evolution en_US
unsw.relation.ispartofpagefrompageto 35-43 en_US
unsw.relation.ispartofvolume 5 en_US
unsw.relation.originalPublicationAffiliation Tanaka, Mark, Biotechnology & Biomolecular Sciences, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Francis, Andrew en_US
unsw.relation.school School of Biotechnology & Biomolecular Sciences *
Files
Resource type