A prediction model for the risk of TB acquisition in contacts
Research type
Research Study
Full title
A prediction model for the risk of Mycobacterium Tuberculosis acquisition in a low incidence urban setting using social networking analysis
IRAS ID
221549
Contact name
Darryl A Braganza Menezes
Contact email
Sponsor organisation
Heart of England NHS Foundation Trust
Duration of Study in the UK
2 years, 0 months, 1 days
Research summary
For many years mycobacterium tuberculosis (mTB) has demonstrated a successful survival strategy, becoming one of the most persistent and deadly infectious disease threats globally. In 2014, TB killed 1.5 million people worldwide with 9.6 million people being affected. Tuberculosis (TB) is transmitted through the air from an infectious patient (index patient) to other persons (contacts) who share the same space. Exposure to TB can result in active disease or latent TB infection (LTBI), the latter demonstrating no clinical symptoms or radiologic evidence of disease. Effective investigation of tuberculosis (TB) contacts is essential for continued progress toward TB elimination.
We aim to:
1. Develop an acquisition risk predication model in order to prioritise contacts in TB contact investigations
a. Based on retrospective data analysis collated over 20 years in a large European city
b. Focusing on TB acquired outside of the home environment as opposed to household contacts.
c. Using social network analysis supported by questionnaire.2. Use this predication model to develop a toolkit that can be used to most effectively direct contact tracing resources in defined situations i.e. depending on where the index case is detected.
REC name
East Midlands - Derby Research Ethics Committee
REC reference
17/EM/0253
Date of REC Opinion
20 Jul 2017
REC opinion
Further Information Favourable Opinion