School-based immunization programs are crucial for equitable vaccine coverage, yet their success depends on parental consent processes. This study investigates patterns of vaccine decision-making within Australia's school-based immunization program, specifically focusing on human papillomavirus (HPV) and diphtheria-tetanus-pertussis (dTpa) vaccines offered free to adolescents aged 12-13. This qualitative study was conducted in the South Eastern Sydney Local Health District (2022-2023). Semi-structured interviews were held with school staff ( = 11) across government, Catholic, and independent schools, parents whose children were not vaccinated at school ( = 11) and a focus group with public health unit staff ( = 5). Data were analyzed to identify key barriers and patterns in vaccine decision-making. Analysis revealed three distinct groups of parents whose children were not vaccinated through the school program: (1) those favoring general practitioners for vaccination, driven by trust in medical providers and a preference for personalized care; (2) those intending to consent but facing logistical barriers, including communication breakdowns and online consent challenges; and (3) vaccine-hesitant parents, particularly regarding HPV vaccination, influenced by safety concerns and misinformation. These findings demonstrate that non-participation in school vaccination programs should not be automatically equated with vaccine hesitancy. Tailored interventions are necessary for addressing vaccine non-participation. Recommendations include strengthening collaboration with general practitioners, streamlining consent processes and providing targeted education to counter misinformation. This study provides valuable insights into social determinants of vaccine acceptance and offers actionable strategies for improving vaccine uptake in school-based programs.
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http://dx.doi.org/10.3390/vaccines13010083 | DOI Listing |
Lab Anim
January 2025
Department of Physiology, Faculty of Medicine, University of Colombo, Sri Lanka.
The immunogenicity of rabies vaccines is commonly measured by serological testing, which includes measuring rabies virus-neutralising antibody titre levels in the serum. Apart from humoral immunity, cellular immunity measurements are also helpful in assessing the immunogenicity and efficacy of rabies vaccinations. Recently, there has been an increased emphasis on cellular immunity measurements against rabies in humans and animals.
View Article and Find Full Text PDFJ Hand Surg Eur Vol
January 2025
Division of Plastic and Reconstructive Surgery, Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA.
Parsonage-Turner Syndrome after COVID-19 infection or vaccination is rare. Motor, sensory deficits and neuropathic pain may result from inflammation and compression around the brachial plexus. Early surgical intervention in patients with significant motor deficits may result in improved outcomes.
View Article and Find Full Text PDFBioanalysis
January 2025
US FDA, Silver Spring, MD, USA.
The 18 Workshop on Recent Issues in Bioanalysis (18 WRIB) took place in San Antonio, TX, USA on May 6-10, 2024. Over 1100 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 18 WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week to allow an exhaustive and thorough coverage of all major issues in bioanalysis of biomarkers, immunogenicity, gene therapy, cell therapy and vaccines.
View Article and Find Full Text PDFTuberculosis (Edinb)
January 2025
Infectious Bacterial Diseases Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, Iowa, USA.
Bovine tuberculosis is mainly caused by Mycobacterium bovis. Bacillus Calmette-Guérin (BCG) is an attenuated strain of M. bovis which provides variable disease protection.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Department of Cardiology, Royal North Shore Hospital, Sydney, NSW, Australia.
Objective: We aimed to develop a highly interpretable and effective, machine-learning based risk prediction algorithm to predict in-hospital mortality, intubation and adverse cardiovascular events in patients hospitalised with COVID-19 in Australia (AUS-COVID Score).
Materials And Methods: This prospective study across 21 hospitals included 1714 consecutive patients aged ≥ 18 in their index hospitalization with COVID-19. The dataset was separated into training (80%) and test sets (20%).
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