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

  • Jennifer Anne Davidson*
  • , Laura F. Anderson
  • , Victoria Adebisi
  • , Leonardo de Jongh
  • , Andy Burkitt
  • , Maeve Lalor
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    3 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Article number1700794
    JournalEurosurveillance
    Volume23
    Issue number44
    DOIs
    Publication statusPublished - 1 Nov 2018

    Bibliographical note

    Funding Information:
    We thank Nikhil Sherine Thampi of the Software Development Unit at Public Health England who has assisted in providing technical support for the STM in recent years following its roll-out.

    Publisher Copyright:
    © 2018, European Centre for Disease Prevention and Control (ECDC). All rights reserved.

    Copyright:
    Copyright 2019 Elsevier B.V., All rights reserved.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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