English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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.

Item is

Basic

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

Files

show Files
hide Files
:
shh2228.pdf (Publisher version), 930KB
Name:
shh2228.pdf
Description:
OA
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 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              

Content

show
hide
Free keywords: -
 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.

Details

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

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: EBioMedicine
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Elsevier
Pages: - Volume / Issue: 37 Sequence Number: - Start / End Page: 410 - 416 Identifier: ISBN: 2352-3964