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Infection is the major component of the disease burden in Aboriginal and non-Aboriginal Australian children: a population-based study

Infection accounts for the majority of pediatric mortality and morbidity in developing countries, but there are limited data on the infectious diseases...

Can linked emergency department data help assess the out-of-hospital burden of acute lower respiratory infections

There is a lack of data on the out-of-hospital burden of acute lower respiratory infections (ALRI) in developed countries.

Hospitalisation for bronchiolitis in infants is more common after elective caesarean delivery

The authors previously reported an increased risk of hospitalisation for acute lower respiratory infection up to age 2 years in children delivered by...

Use of data linkage to investigate the aetiology of acute lower respiratory infection hospitalisations in children

The aim was to document the aetiology of acute lower respiratory infection (ALRI) hospitalisations in Western Australian children

Randomised controlled trials of behavioural nudges delivered through text messages to increase influenza and COVID-19 vaccines among pregnant women (the EPIC study): study protocol

Influenza and COVID-19 infections during pregnancy may have serious adverse consequences for women as well as their infants. However, uptake of influenza and COVID-19 vaccines during pregnancy remains suboptimal. This study aims to assess the effectiveness of a multi-component nudge intervention to improve influenza and COVID-19 vaccine uptake among pregnant women. 

Cohort profile: A population-based record linkage platform to address critical epidemiological evidence gaps in respiratory syncytial virus and other respiratory infections

The Western Australia (WA) Respiratory Infections Linked Data Platform is a population-based cohort established to investigate the epidemiology of RSV and other respiratory infections in children aged 0-10 years, incorporating microbiological testing patterns, hospital admissions, emergency department presentations, and socio-demographic data.

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.

‘Corona is coming’: COVID-19 vaccination perspectives and experiences amongst Culturally and Linguistically Diverse West Australians

Culturally and Linguistically Diverse (CALD) groups within high-income countries are at risk of being left behind by the COVID-19 vaccination rollout. They face both access and attitudinal barriers, including low trust in government and health authorities.

Standardised treatment and monitoring protocol to assess safety and tolerability of bacteriophage therapy for adult and paediatric patients (STAMP study): protocol for an open-label, single-arm trial

There has been renewed interest in the therapeutic use of bacteriophages (phages); however, standardised therapeutic protocols are lacking, and there is a paucity of rigorous clinical trial data assessing efficacy.

Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts

COVID-19 is a new multi-organ disease causing considerable worldwide morbidity and mortality. While many recognized pathophysiological mechanisms are involved, their exact causal relationships remain opaque. Better understanding is needed for predicting their progression, targeting therapeutic approaches, and improving patient outcomes. While many mathematical causal models describe COVID-19 epidemiology, none have described its pathophysiology.