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Vaccines have measurable efficacy obtained first from vaccine trials. However, vaccine efficacy (VE) is not a static measure and long-term population studies are needed to evaluate its performance and impact. COVID-19 vaccines have been developed in record time and the currently licensed vaccines are extremely effective against severe disease with higher VE after the full immunization schedule. To assess the impact of the initial phase of the COVID-19 vaccination rollout programmes, we used an extended Susceptible - Hospitalized - Asymptomatic/mild - Recovered () model. Vaccination models were proposed to evaluate different vaccine types: vaccine type 1 which protects against severe disease only but fails to block disease transmission, and vaccine type 2 which protects against both severe disease and infection. VE was assumed as reported by the vaccine trials incorporating the difference in efficacy between one and two doses of vaccine administration. We described the performance of the vaccine in reducing hospitalizations during a momentary scenario in the Basque Country, Spain. With a population in a mixed vaccination setting, our results have shown that reductions in hospitalized COVID-19 cases were observed five months after the vaccination rollout started, from May to June 2021. Specifically in June, a good agreement between modelling simulation and empirical data was well pronounced.
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http://dx.doi.org/10.1016/j.idm.2023.03.002 | DOI Listing |
Vaccine
September 2025
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Background: Among pregnant and postpartum women, decision-making for receiving the COVID-19 vaccine is influenced by vaccine safety concerns, misconceptions, shifting vaccine policies, and exclusion in the initial vaccine rollout. This caused confusion and vaccine hesitancy among many groups including pregnant and postpartum women.
Objective: The objective of this study was to understand the multilevel factors that influence vaccine decision-making among pregnant and postpartum women in Pakistan, which is crucial for improving vaccine demand among the vulnerable group-pregnant and postpartum women.
Vaccine
September 2025
School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong, SAR, China; The State Key Laboratory of Brain and Cognitive Sciences, The University of H
Background: Vaccine confidence is crucial for achieving high vaccination rates against COVID-19, yet vaccine confidence varied significantly throughout the pandemic. This study assessed the trajectories and predictors of COVID-19 vaccine confidence from prior to the vaccine rollout to mass vaccination.
Methods: It is a population-based cohort study with nine waves of longitudinal data from September 2020 to February 2023, spanning the pre-vaccine rollout to COVID-19 mass vaccination in Hong Kong.
Psychol Health
September 2025
Institute of Applied Health Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, UK.
Objective: There is a lack of research on how illness representations as represented in the Common Sense Self-Regulation Model (CS-SRM) emerge and develop. We aimed to describe the evolution of COVID-19 illness representations over time, and to explore associations with sociodemographic characteristics and protective behaviours.
Methods And Measures: This study (June 2020 release from lockdown to February 2021 after vaccine roll-out) used 17 independently recruited cross-sectional cohorts.
Appl Ergon
September 2025
NHS Education for Scotland, Edinburgh, United Kingdom; Staffordshire University, Stafford, United Kingdom; University of Glasgow, Glasgow, United Kingdom. Electronic address:
Purpose: To share key learnings from the assessment of a COVID-19 vaccination system in Scotland using a Human Reliability Analysis (HRA) approach.
Method: Project data were collected in February 2021 in NHS Ayrshire and Arran (NHSAA) - the regional health authority - using document analysis (Service Delivery Manual, 2020), observations (2 site visits), and workshops (n = 8, with 26 participants). The Systematic Human Error Reduction and Prediction Approach (SHERPA) is a framework for human reliability analysis that can be used as part of a safety assessment or safety case to determine whether the system is 'safe enough' and provide recommendations to improve safety by mitigating error potential.
PLoS One
August 2025
Disease Dynamics Unit, University of Cambridge, Cambridge, United Kingdom.
The introduction of MenAfriVac has significantly reduced group A meningococcal meningitis in the African meningitis belt, but epidemics caused by other groups such as C, W, Y and X (MenCWYX) remain a threat. To address this, a new multivalent meningococcal conjugate vaccine (MMCV) has been developed and pre-qualified by WHO. This study extends a previously established transmission dynamic model for MenA to include MenCWYX, enabling evaluation of the potential impact of MMCVs under various vaccination strategies.
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