Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757749
Title: Computational approaches to vaccine development for multi-strain pathogens
Author: Walker, Andrew
Awarding Body: University of Oxford
Current Institution: University of Oxford
Date of Award: 2017
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Abstract:
This thesis presents a number of computational approaches that I have used for the study, design, and optimization of vaccination strategy. An effective vaccination regimen against an infectious disease will elicit immune responses that target carefully selected regions of the parasite, and will be implemented in such a way that maximum benefit can be had. Here, I present research into various steps of the vaccine development pipeline, from developing new methods by which targets can be selected, to the best way that a therapy can be implemented in the field. Existing understanding of the ways in which populations of pathogens are structured is used to develop methods for selecting novel vaccination targets, that is, regions of pathogens against which a vaccine might be highly effective. These approaches are combined with mathematical modelling of vaccination at both within-host and population levels to assist in the development and implementation of vaccines against pathogens of global health importance. My within-host model suggests that a highly efficacious sterilely protective malaria vaccine may be possible by combining existing therapies. An epidemiological approach provides evidence that mass vaccination with a malaria vaccine of moderate efficacy, in combination with other interventions, may drive eradication in many transmission contexts. Considered together, the works contained within this thesis explore the ways in which both existing and novel therapies may be combined to gain maximum benefit.
Supervisor: Lourenco, Jose ; Gupta, Sunetra Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.757749  DOI: Not available
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