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A phenotype centric benchmark of variant prioritisation tools

We hypothesised that the performance of variant prioriisation tools may vary by disease phenotype.

Development of the Aboriginal Communication Assessment After Brain Injury (ACAABI): A screening tool for identifying acquired communication disorders in Aboriginal Australians.

Acquired communication disorders (ACD), following stroke and traumatic brain injury, may not be correctly identified in Aboriginal Australians

Informing rubella vaccination strategies in East Java, Indonesia through transmission modelling

A single dose of rubella vaccine will take longer to reduce the burden of rubella and will be less robust to lower vaccine coverage

Addressing the challenges of cross-jurisdictional data linkage between a national clinical quality registry and government-held health data

Describing the challenges of obtaining state and nationally held data for linkage to a non-government national clinical registry

Missing voices: Profile and extent of acquired communication disorders in Aboriginal and non-Aboriginal adult stroke survivors in Western Australia

The needs of Aboriginal stroke patients with acquired communication disorder should inform appropriate service design for speech pathology and rehabilitation

Nasopharyngeal carriage of Streptococcus pneumoniae: prevalence and risk factors in HIV-positive children in Tanzania

Pneumococcal colonization of the nasopharynx is especially common in young children and is a pre-requisite for pneumococcal disease...

Modelling the spread and control of a malaria vector

Malaria remains one of the leading causes of death, particularly in Africa and among children.

Chronic illness affects young children’s school readiness

Researchers from the The Kids Research Institute Australia and UWA have found that young children with a chronic disease are more likely to fall behind their peers in a wide

Severe outcomes of malaria in children under time-varying exposure

In malaria epidemiology, interpolation frameworks based on available observations are critical for policy decisions and interpreting disease burden. Updating our understanding of the empirical evidence across different populations, settings, and timeframes is crucial to improving inference for supporting public health.

Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance data

Estimating the temporal trends in infectious disease activity is crucial for monitoring disease spread and the impact of interventions. Surveillance indicators routinely collected to monitor these trends are often a composite of multiple pathogens. For example, "influenza-like illness"-routinely monitored as a proxy for influenza infections-is a symptom definition that could be caused by a wide range of pathogens, including multiple subtypes of influenza, SARS-CoV-2, and RSV.