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Creating a web-based electronic tool to aid tuberculosis (TB) cluster investigation: data integration in TB surveillance activities in the United Kingdom, 2013 to 2016

Molecular technology to identify relatedness between Mycobacterium tuberculosis complex isolates, representative of possible tuberculosis (TB) transmission between individuals, continues to evolve. At the same time, tools to utilise this information for public health action to improve TB control sho...

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Autores principales: Davidson, Jennifer A, Anderson, Laura F, Adebisi, Victoria, de Jongh, Leonardo, Burkitt, Andy, Lalor, Maeve K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337071/
https://www.ncbi.nlm.nih.gov/pubmed/30401009
http://dx.doi.org/10.2807/1560-7917.ES.2018.23.44.1700794
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author Davidson, Jennifer A
Anderson, Laura F
Adebisi, Victoria
de Jongh, Leonardo
Burkitt, Andy
Lalor, Maeve K
author_facet Davidson, Jennifer A
Anderson, Laura F
Adebisi, Victoria
de Jongh, Leonardo
Burkitt, Andy
Lalor, Maeve K
author_sort Davidson, Jennifer A
collection PubMed
description Molecular technology to identify relatedness between Mycobacterium tuberculosis complex isolates, representative of possible tuberculosis (TB) transmission between individuals, continues to evolve. At the same time, tools to utilise this information for public health action to improve TB control should also be implemented. Public Health England developed the Strain Typing Module (STM) as an integral part of the web-based surveillance system used in the United Kingdom following the roll-out of prospective 24 loci mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) strain typing. The creation of such a system required data integration and linkage, bringing together laboratory results and patient notification information. The STM facilitated widespread access to patient strain typing and clustering results for the public health community working in TB control. In addition, the system provided a log of cluster review and investigation decision making and results. Automated real-time data linkage between laboratory and notification data are essential to allow routine use of genotyping results in TB surveillance and control. Outputs must be accessible by those working in TB control at a local level to have any impact in ongoing public health activity.
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spelling pubmed-63370712019-02-08 Creating a web-based electronic tool to aid tuberculosis (TB) cluster investigation: data integration in TB surveillance activities in the United Kingdom, 2013 to 2016 Davidson, Jennifer A Anderson, Laura F Adebisi, Victoria de Jongh, Leonardo Burkitt, Andy Lalor, Maeve K Euro Surveill Surveillance and Outbreak Report Molecular technology to identify relatedness between Mycobacterium tuberculosis complex isolates, representative of possible tuberculosis (TB) transmission between individuals, continues to evolve. At the same time, tools to utilise this information for public health action to improve TB control should also be implemented. Public Health England developed the Strain Typing Module (STM) as an integral part of the web-based surveillance system used in the United Kingdom following the roll-out of prospective 24 loci mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) strain typing. The creation of such a system required data integration and linkage, bringing together laboratory results and patient notification information. The STM facilitated widespread access to patient strain typing and clustering results for the public health community working in TB control. In addition, the system provided a log of cluster review and investigation decision making and results. Automated real-time data linkage between laboratory and notification data are essential to allow routine use of genotyping results in TB surveillance and control. Outputs must be accessible by those working in TB control at a local level to have any impact in ongoing public health activity. European Centre for Disease Prevention and Control (ECDC) 2018-11-01 /pmc/articles/PMC6337071/ /pubmed/30401009 http://dx.doi.org/10.2807/1560-7917.ES.2018.23.44.1700794 Text en This article is copyright of The Authors, 2018. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.
spellingShingle Surveillance and Outbreak Report
Davidson, Jennifer A
Anderson, Laura F
Adebisi, Victoria
de Jongh, Leonardo
Burkitt, Andy
Lalor, Maeve K
Creating a web-based electronic tool to aid tuberculosis (TB) cluster investigation: data integration in TB surveillance activities in the United Kingdom, 2013 to 2016
title Creating a web-based electronic tool to aid tuberculosis (TB) cluster investigation: data integration in TB surveillance activities in the United Kingdom, 2013 to 2016
title_full Creating a web-based electronic tool to aid tuberculosis (TB) cluster investigation: data integration in TB surveillance activities in the United Kingdom, 2013 to 2016
title_fullStr Creating a web-based electronic tool to aid tuberculosis (TB) cluster investigation: data integration in TB surveillance activities in the United Kingdom, 2013 to 2016
title_full_unstemmed Creating a web-based electronic tool to aid tuberculosis (TB) cluster investigation: data integration in TB surveillance activities in the United Kingdom, 2013 to 2016
title_short Creating a web-based electronic tool to aid tuberculosis (TB) cluster investigation: data integration in TB surveillance activities in the United Kingdom, 2013 to 2016
title_sort creating a web-based electronic tool to aid tuberculosis (tb) cluster investigation: data integration in tb surveillance activities in the united kingdom, 2013 to 2016
topic Surveillance and Outbreak Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337071/
https://www.ncbi.nlm.nih.gov/pubmed/30401009
http://dx.doi.org/10.2807/1560-7917.ES.2018.23.44.1700794
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