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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

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

Role of viral and bacterial pathogens in causing pneumonia among Western Australian children: A case-control study protocol

We aim to determine the contribute of bacteria and virus to childhood CAP to inform further development of effective strategies.

Vaccine decision-making begins in pregnancy: Correlation between vaccine concerns, intentions and maternal vaccination with subsequent childhood vaccine uptake

Amongst pregnant Australian women we aimed to ascertain vaccine information received, maternal immunisation uptake and attitudes and concerns regarding vaccines

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

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.

Core protocol for the adaptive Platform Trial In COVID-19 Vaccine priming and BOOsting (PICOBOO)

The need for coronavirus 2019 (COVID-19) vaccination in different age groups and populations is a subject of great uncertainty and an ongoing global debate. Critical knowledge gaps regarding COVID-19 vaccination include the duration of protection offered by different priming and booster vaccination regimens in different populations, including homologous or heterologous schedules.

Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis

This study aimed to map the national, regional and local prevalence of hypertension and diabetes in Ethiopia.