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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

Bold bid to end rheumatic heart disease

Some of the nation’s leading medical researchers will converge on Darwin this week to step out a plan to wipe out rheumatic heart disease.

The pathogen specific burden of hospitalisation for enteric and blood stream infection in children and young people in Western Australia

Hannah Tom Moore Snelling OAM BSc (Hons) GradDipClinEpi PhD BMBS DTMH GDipClinEpid PhD FRACP Head, Infectious Diseases Research Head, Infectious

Understanding the true burden of paediatric respiratory syncytial virus (RSV) in order to optimise prevention programs

Hannah Moore OAM BSc (Hons) GradDipClinEpi PhD Head, Infectious Diseases Research 08 6319 1427 Hannah.moore@thekids.org.au Head, Infectious Diseases

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.

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.

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.

The seasonality of respiratory syncytial virus in Western Australia prior to implementation of SARS-CoV-2 non-pharmaceutical interventions

Respiratory syncytial virus (RSV) seasonality is dependent on the local climate. We assessed the stability of RSV seasonality prior to the SARS-CoV-2 pandemic in Western Australia (WA), a state spanning temperate and tropical regions.