The Hard Numbers on 2024-2025 COVID-19 Vaccine Effectiveness
Source PublicationThe Journal of Infectious Diseases
Primary AuthorsJayawardena, Dean, Witrick et al.

Tracking 2024-2025 COVID-19 Vaccine Effectiveness
Public health agencies rely on precise, real-world data to justify ongoing seasonal vaccination campaigns. However, standard observational studies often suffer from severe healthy user bias, making the vaccines look artificially superior, or conversely, depletion of susceptibles, which muddies the baseline risk.
These results were observed under controlled laboratory conditions, so real-world performance may differ.
To bypass these statistical traps, researchers examining a large South Carolina health system employed a sophisticated 'target trial emulation'. Using electronic health records from September 2024 to March 2025, they sought to mimic the rigorous conditions of a randomised controlled trial without actually administering placebos.
Target Trial Emulation versus Traditional Observation
Older observational methods typically just tally hospital admissions across broad, unmatched populations. This traditional approach fails spectacularly when prior infections, underlying comorbidities, and access to healthcare vary wildly across the sample.
By contrast, this emulation technique forces strict comparability. The researchers carefully matched 10,029 vaccinated adults with 20,051 unvaccinated individuals, aligning them based on specific demographic and clinical covariates before tracking their outcomes.
The study measured a clear, moderate benefit. The updated mRNA shots provided 41.3% protection against emergency department visits and 46.1% protection against hospitalisation.
Despite this measurable defence, the underlying participation data revealed a stark reality. Out of nearly 158,000 eligible individuals tracked within the system, a mere 6.4% actually received the updated jab.
What the Data Leaves Unanswered
While propensity score matching is mathematically rigorous, this study does not solve the persistent problem of unmeasured confounding variables. The electronic health records cannot measure human behaviour.
We still do not know if the vaccinated cohort took other precautions, such as routine masking or avoiding indoor crowds, which could inflate the apparent efficacy of the vaccine. Additionally, the data stems entirely from a single southern US state characterised by a large rural demographic.
This regional focus means the results may not perfectly translate to densely populated urban centres. The study also cannot confirm the durability of this protection beyond the immediate six-month observation window.
The Outlook for Public Health
These findings suggest that the seasonal jab remains a highly practical, evidence-based tool for keeping vulnerable populations out of the hospital. A 46.1% reduction in hospitalisation risk could ease the burden on healthcare systems during peak respiratory seasons.
Yet, the abysmal 6.4% uptake rate indicates a massive failure in public health messaging. Moving forward, health authorities must rethink their strategies to reach the 93.6% of the population who ignored the shot.
Addressing this gap will require specific, targeted interventions:
- Improving physical vaccine access in isolated rural communities.
- Combating widespread vaccine fatigue, particularly among older adults.
- Communicating the realistic, tangible benefits of moderate protection rather than promising total immunity.