ArticleBMC infectious diseases2009
A Mycobacterium tuberculosis cluster demonstrating the use of genotyping in urban tuberculosis control.
Article in BMC infectious diseases, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Prevalence and Characterization of Heterogeneous Variable-Number Tandem-Repeat Clusters Comprising Drug-Susceptible and/or Variable Resistant Mycobacterium tuberculosis Complex Isolates in the Netherlands from 2004 to 2016.Journal of clinical microbiology · 2018Article
- Article
- A pulmonary tuberculosis outbreak in a long-term care facility.Epidemiology and infection · 2016Article
- Regular Sputum Check-Up for Early Diagnosis of Tuberculosis after Exposure in Healthcare Facilities.PloS one · 2016Article
- Transmission of leprosy in Qiubei County, Yunnan, China: insights from an 8-year molecular epidemiology investigation.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2011Article
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Authors and funding
5 authors.
Funding
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Abstract
backgroundDNA fingerprinting of Mycobacterium tuberculosis isolates offers better opportunities to study links between tuberculosis (TB) cases and can highlight relevant issues in urban TB control in low-endemic countries.
methodsA medium-sized molecular cluster of TB cases with identical DNA fingerprints was used for the development of a visual presentation of epidemiologic links between cases.
resultsOf 32 cases, 17 (53%) were linked to the index case, and 11 (34%) to a secondary case. The remaining four (13%) could not be linked and were classified as possibly caused by the index patient. Of the 21 cases related to the index case, TB developed within one year of the index diagnosis in 11 patients (52%), within one to two years in four patients (19%), and within two to five years in six patients (29%).
conclusionCluster analysis underscored several issues for TB control in an urban setting, such as the recognition of the outbreak, the importance of reinfections, the impact of delayed diagnosis, the contribution of pub-related transmissions and its value for decision-making to extend contact investigations. Visualising cases in a cluster diagram was particularly useful in finding transmission locations and the similarities and links between patients.
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