Use this URL to cite or link to this record in EThOS:
Title: Towards a smartphone connected test for influenza
Author: Keane, Candice E.
ISNI:       0000 0004 7964 9792
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2019
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Please try the link below.
Access from Institution:
The rapidly evolving nature of the influenza virus means that there is the constant threat of a global influenza pandemic, which drives the demand for highly accurate, low-cost tests for diagnosing influenza infection that can be integrated into public health surveillance systems. A high proportion of influenza infection goes undetected, enabling onwards transmission to vulnerable individuals, with sometimes devastating consequences. The work presented in the thesis maps out the current influenza rapid diagnostic landscape and explores the accuracy of commercial rapid influenza testing and the characteristics that are necessary for the ideal influenza test. Important issues and challenges surrounding rapid influenza testing, as well as steps towards developing lateral flow based smartphone connected influenza tests are discussed. Key results include: (i) a review of the rapid diagnostic landscape for influenza detection; (ii) a meta-anslysis of the performance of rapid influenza tests in the community; (iii) an evaluation of four of the leading rapid influenza diagnostic tests to look at their performance; (iv) the feasibility of using a smartphone app to read influenza test strips; (iv) proof of concept lateral flow test for influenza antigen detection based on a target product profile; (v) proof of concept lateral flow test serological test for the detection of influenza subtype-specific antibodies; (vi) characterising antibodies and VHH by ELISA, mass spectrometry and biolayer interferometry. This thesis concludes with a summary of the main results and future work, including the potential for further development and optimisation of in-house developed tests, as well as large clinical studies to look at performance, usability, pathways to commercialisation and regulation.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available