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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Centre for Disease Prevention and Control (ECDC)
2018
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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. |
format | Online Article Text |
id | pubmed-6337071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | European Centre for Disease Prevention and Control (ECDC) |
record_format | MEDLINE/PubMed |
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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