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Vaccine hesitancy, refusal and access barriers: The need for clarity in terminology

We propose more precision in the term 'vaccine hesitancy' is needed particularly since much under-vaccination arises from factors related to access or pragmatics

Midwives’ attitudes, beliefs and concerns about childhood vaccination: A review of the global literature

The majority of midwives supported vaccination, although a spectrum of beliefs and concerns emerged

Active surveillance of 2017 seasonal influenza vaccine safety: An observational cohort study of individuals aged 6 months and older in Australia

AusVaxSafety surveillance demonstrated comparable and expected safety outcomes for the 2017 quadrivalent inactivated influenza vaccine brands used in Australia

Assessment of on-time vaccination coverage in population subgroups: A record linkage cohort study

On-time coverage of the 2-4-6 month schedule is only 50-60% across specific population subgroups representing a significant avoidable public health risk

Systemic antibiotics for chronic suppurative otitis media

To assess the effects of systemic antibiotics for people with chronic suppurative otitis media.

Effectiveness of a 3 + 0 pneumococcal conjugate vaccine schedule against invasive pneumococcal disease among a birth cohort of 1.4 million children in Australia

Our population-based cohort study demonstrates that >90% coverage in the first year of a universal 3 + 0 PCV program provided high population-level protection

The influence of incomplete case ascertainment on measures of vaccine efficacy

A biologically active vaccine may produce a low measured vaccine efficacy under a range of epidemiological, vaccine-related and logistical conditions

among children with pneumonia using a causal Bayesian network

Pneumonia remains a leading cause of hospitalization and death among young children worldwide, and the diagnostic challenge of differentiating bacterial from non-bacterial pneumonia is the main driver of antibiotic use for treating pneumonia in children. Causal Bayesian networks (BNs) serve as powerful tools for this problem as they provide clear maps of probabilistic relationships between variables and produce results in an explainable way by incorporating both domain expert knowledge and numerical data.

BEAT CF pulmonary exacerbations core protocol for evaluating the management of pulmonary exacerbations in people with cystic fibrosis

Cystic fibrosis (CF) is a rare, inherited, life-limiting condition predominantly affecting the lungs, for which there is no cure. The disease is characterized by recurrent pulmonary exacerbations (PEx), which are thought to drive progressive lung damage. Management of these episodes is complex and generally involves multiple interventions targeting different aspects of disease. The emergence of innovative trials and use of Bayesian statistical methods has created renewed opportunities for studying heterogeneous populations in rare diseases.