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We aim to determine the contribute of bacteria and virus to childhood CAP to inform further development of effective strategies.
To describe the process for assembling a linked study that will enable the conduct of population-based studies related to immunisation and immunisation policy.
We outline three scenarios from across the health spectrum where issues with health informatics are exemplified.
Amongst pregnant Australian women we aimed to ascertain vaccine information received, maternal immunisation uptake and attitudes and concerns regarding vaccines
We propose more precision in the term 'vaccine hesitancy' is needed particularly since much under-vaccination arises from factors related to access
Nurses consider antimicrobial stewardship activities within their roles, but are underutilised in antimicrobial stewardship programs
A single dose of rubella vaccine will take longer to reduce the burden of rubella and will be less robust to lower vaccine coverage
Untreated hepatitis C virus (HCV) infection can result in cirrhosis and hepatocellular cancer. Direct-acting antiviral (DAA) therapies are highly effective and have few side effects compared to older interferon-based therapy. Despite the Australian government providing subsidised and unrestricted access to DAA therapy for chronic HCV infection, uptake has not been sufficient to meet the global target of eliminating HCV as a public health threat by 2030.
To assess potential benefits and direct healthcare cost savings with expansion of an existing childhood influenza immunisation program, we developed a dynamic transmission model for the state of Western Australia, evaluating increasing coverage in children < 5 years and routinely immunising school-aged children.
The ability for vaccines to protect against infectious diseases varies among individuals, but computational models employed to inform policy typically do not account for this variation. Here we examine this issue: we implement a model of vaccine efficacy developed in the context of SARS-CoV-2 in order to evaluate the general implications of modelling correlates of protection on the individual level.