Applied Mathematics

Understanding and alleviating selective depletion bias in vaccine efficacy estimation

University of Strathclyde

Not stated

Location
Glasgow, United Kingdom, United Kingdom
Funding
Funded PhD Project (UK Students Only)
Application deadline
Year-round applications

About the project

About the Project This project will expose systematic errors in widely used methods for estimating and translating the efficacy of vaccines and outline a strategy for alleviating those problems. Explicitly, methods that neglect realistic heterogeneities in susceptibility to infection among individuals in a trial, tend to underestimate vaccine efficacy, a bias that is exacerbated with the length of the trial and the intensity of exposure to infection in trial settings. To overcome this problem, rates of infection collected for similar populations in different environments will be employed (where environments cover a range of exposure intensities, either controlled experimentally or selected from nature) to unlock the heterogeneity in individual susceptibilities by analysing the observed trends. Estimated distributions will then be embedded into new predictive models for use in policy development. Anyone interested in applying for this studentship can do so here: https://pegasus.mis.strath.ac.uk/applicantentry/#/?ppio=293842&opportunity=1894156

Research areas

AppliedMathematicsAppliedStatisticsComputationalMathematicsDataAnalysisEpidemiologyMathematicalModellingMedicalStatisticsUnderstandingandalleviatingselectivedepletionbiasinvaccineefficacyestimation