ArticleBMC infectious diseases2006
An evaluation of indices for quantifying tuberculosis transmission using genotypes of pathogen isolates.
Article in BMC infectious diseases, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Molecular epidemiology of Mycobacterium bovis in Cameroon.Scientific reports · 2017Article
- Transmission of Mycobacterium tuberculosis Beijing Strains, Alberta, Canada, 1991-2007.Emerging infectious diseases · 2013Article
- Epidemiological models of Mycobacterium tuberculosis complex infections.Mathematical biosciences · 2012Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInfectious diseases are often studied by characterising the population structure of the pathogen using genetic markers. An unresolved problem is the effective quantification of the extent of transmission using genetic variation data from such pathogen isolates.
methodsIt is important that transmission indices reflect the growth of the infectious population as well as account for the mutation rate of the marker and the effects of sampling. That is, while responding to this growth rate, indices should be unresponsive to the sample size and the mutation rate. We use simulation methods taking into account both the mutation and sampling processes to evaluate indices designed to quantify transmission of tuberculosis.
resultsPreviously proposed indices generally perform inadequately according to the above criteria, with the partial exception of the recently proposed Transmission-Mutation Index.
conclusionAny transmission index needs to take into account mutation of the marker and the effects of sampling. Simple indices are unlikely to capture the full complexity of the underlying processes.
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