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Digital technologies for the diagnosis and public health management of respiratory pathogens: lessons learned from COVID-19

Budd, Jobie Nigel; (2023) Digital technologies for the diagnosis and public health management of respiratory pathogens: lessons learned from COVID-19. Doctoral thesis (Ph.D), UCL (University College London).

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Abstract

Mobile health is the application of mobile devices, their components and related digital technologies to healthcare. This thesis has a particular focus on the use of smartphones and their many sensors as data collection and diagnostic devices, and their application to respiratory pathogens, with technologies that offer rapid public health surveillance and accessible point-of-care diagnosis. The culmination of interdisciplinary doctoral studies as part of the i-sense EPSRC IRC, this thesis uses data science, engineering, clinical and social science multidisciplinary approaches to explore the post-COVID future of mobile health technologies for the diagnosis and management of respiratory infections both at the patient and population level, using examples of influenza, pneumococcus, and SARS-CoV-2. The specific technologies ex- plored are: i) smartphone location data-based epidemiology; ii) audio-based respiratory infection diagnosis; and iii) smartphone-enabled lateral flow test interpretation. The context of this thesis is a piece of work adapted in response to the COVID-19 pandemic and public response in the UK, which is the source of much of the observational data analysed, however the technologies presented have global applicability for the diagnosis and surveillance of COVID-19 and future outbreaks of respiratory pathogens.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Digital technologies for the diagnosis and public health management of respiratory pathogens: lessons learned from COVID-19
Language: English
Additional information: Copyright © The Author 2022. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
Keywords: Infectious disease surveillance, Digital epidemiology
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10174983
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