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  The relationship between transmission time and clustering methods in Mycobacterium tuberculosis epidemiology

Meehan, C. J., Moris, P., Kohl, T. A., Pečerska, J., Akter, S., Merker, M., et al. (2018). The relationship between transmission time and clustering methods in Mycobacterium tuberculosis epidemiology. EBioMedicine, 37, 410-416. Retrieved from 10.1016/j.ebiom.2018.10.013.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-A1E3-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-A1E4-5
Genre: Journal Article

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shh2228.pdf (Publisher version), 930KB
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http://creativecommons.org/licenses/by/4.0/

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 Creators:
Meehan, Conor J., Author
Moris, Pieter, Author
Kohl, Thomas A., Author
Pečerska, Jūlija, Author
Akter, Suriya, Author
Merker, Matthias, Author
Utpatel, Christian, Author
Beckert, Patrick, Author
Gehre, Florian, Author
Lempens, Pauline, Author
Stadler, Tanja, Author
Kaswa, Michel K., Author
Kühnert, Denise1, Author           
Niemann, Stefan, Author
de Jong, Author
C., Bouke, Author
Affiliations:
1tide, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2591691              

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 Abstract: BackgroundTracking recent transmission is a vital part of controlling widespread pathogens such as Mycobacterium tuberculosis. Multiple methods with specific performance characteristics exist for detecting recent transmission chains, usually by clustering strains based on genotype similarities. With such a large variety of methods available, informed selection of an appropriate approach for determining transmissions within a given setting/time period is difficult.

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Language(s): eng - English
 Dates: 2018-10-162018-11
 Publication Status: Issued
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: URI: 10.1016/j.ebiom.2018.10.013
Other: shh2228
 Degree: -

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Title: EBioMedicine
Source Genre: Journal
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Publ. Info: Elsevier
Pages: - Volume / Issue: 37 Sequence Number: - Start / End Page: 410 - 416 Identifier: ISBN: 2352-3964