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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

Randomized controlled trial of text message reminders for increasing influenza vaccination

We conducted a randomized controlled trial of short message service (SMS) reminders for influenza vaccination.

Probabilistic linkage of national immunisation and state-based health records for a cohort of 1.9 million births to evaluate Australia’s childhood immunisation program

To describe the process for assembling a linked study that will enable the conduct of population-based studies related to immunisation and immunisation policy.

Epidemiology of seasonal influenza infection in pregnant women and its impact on birth outcomes

Results from this linked population study suggests that there are differences in maternal infection by virus type and support the provision of seasonal vaccines

Immunisation and pregnancy - who, what, when and why?

Recommending vaccination to pregnant women is important as evidence shows they are more likely to get vaccinated if their healthcare provider advises it

Using record linkage to examine testing patterns for respiratory viruses among children born in Western Australia

Using linked data, we describe changes in respiratory virus testing among children born in Western Australia in 1996-2012

Using record linkage to validate notification and laboratory data for a more accurate assessment of notifiable infectious diseases

Studies investigating pathogen-specific infectious disease would benefit from using multiple data sources.

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.

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.

Prevalence of long-term physical sequelae among patients treated with multi-drug and extensively drug-resistant tuberculosis: a systematic review and meta-analysis

Physical sequelae related to multi-drug resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB) are emerging and under-recognised global challenges. This systematic review and meta-analysis aimed to quantify the prevalence and the types of long-term physical sequelae associated with patients treated for MDR- and XDR-TB.