Search results (98)
« Back to PublicationsDeveloping a global framework to assess a country's readiness and resilience to introduce a new vaccine or improve uptake of an underutilized vaccine.
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Monk V. et al, (2026), Expert Rev Vaccines, 25
Parental motivations, facilitators, and barriers to participating in a pediatric vaccine trial in Kathmandu, Nepal: A qualitative study.
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Firth C. et al, (2026), Hum Vaccin Immunother, 22
What is unhealthy about public health? Vaccination, evidence and the politics of uncertainty
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Mezza M. and Vanderslott S., (2026), Humanities and Social Sciences Communications, 13
The impact of the COVID-19 pandemic on healthy volunteer motivations: a mixed-methods study of participants in plague vaccine trials in the UK and Uganda.
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Stuart AS. et al, (2026), BMC Public Health
En-risk to de-risk: An iterative human factors framework for scale development in emerging technologies.
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Kantor J. et al, (2026), JAAD Int, 24, 342 - 345
Public attitudes towards intranasal and ultrasound mediated vaccine delivery: A cross-sectional study in the United Kingdom and United States.
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Kantor J. et al, (2026), Vaccine, 69
Early lymph node T follicular helper cell signalling hub drives influenza vaccine response in an ancestrally diverse cohort.
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Siu JHY. et al, (2025), EBioMedicine, 122
Development and validation of the Oxford Benchmark Scale for Rating Vaccine Technologies (OBSRVT), a scale for assessing public attitudes to next-generation vaccine delivery technologies.
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Kantor J. et al, (2025), Hum Vaccin Immunother, 21
Discriminative Cut-Offs, Concurrent Criterion Validity, and Test-Retest Reliability of the Oxford Vaccine Hesitancy Scale.
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Kantor J. et al, (2025), Vaccines (Basel), 13
A systematic review on patient and public attitudes toward health monitoring technologies across countries.
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Chen T. et al, (2025), NPJ Digit Med, 8
Acceptability of the gonorrhoea human challenge model to accelerate vaccine development in UK men.
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Firth C. et al, (2025), Vaccine, 54
Confronting the shortcomings of covid-19 vaccination will help us in future pandemics.
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Vanderslott S., (2025), BMJ, 388
Artificial intelligence for modelling infectious disease epidemics.
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Kraemer MUG. et al, (2025), Nature, 638, 623 - 635