Methods of quantifying and visualising outbreaks of tuberculosis using genotypic information

Infection, Genetics and Evolution

Volumn 5, Issue 1, 2005, Pages 35-43

  Tanaka, Mark M ^a   Francis, Andrew R ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b UNIVERSITY OF WESTERN SYDNEY   (Australia)

Author keywords

Cluster analysis; Data visualisation; Disease outbreaks; Genetic markers; Graph theory; Molecular epidemiology; Mutation; Mycobacterium tuberculosis

Indexed keywords

ANALYTIC METHOD; ARTICLE; BACTERIUM ISOLATE; CLUSTER ANALYSIS; DISEASE TRANSMISSION; EPIDEMIC; GENE MUTATION; GENETIC EPIDEMIOLOGY; GENETIC HETEROGENEITY; GENOTYPE; GEOGRAPHIC DISTRIBUTION; MOLECULAR EVOLUTION; MUTATION RATE; MYCOBACTERIUM TUBERCULOSIS; NONHUMAN; PHYLOGENY; POPULATION DISTRIBUTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE;

CLUSTER ANALYSIS; DISEASE OUTBREAKS; GENOTYPE; HUMANS; MODELS, STATISTICAL; MUTATION; MYCOBACTERIUM TUBERCULOSIS; TUBERCULOSIS;

MYCOBACTERIUM; MYCOBACTERIUM TUBERCULOSIS;

EID: 10244257679     PISSN: 15671348     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.meegid.2004.06.001     Document Type: Article

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