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Projected impacts of climate change on malaria in Africa

The implications of climate change for malaria eradication this century remain poorly resolved. Many studies focus on parasite and vector ecology in isolation, neglecting the interactions between climate, malaria control and the socioeconomic environment, including disruption from extreme weather. Here we integrate 25 years of African data on climate, malaria burden and control, socioeconomic factors, and extreme weather.

Prevention of rheumatic heart disease in New Zealand: High-dose subcutaneous benzathine penicillin is cost-saving compared with traditional intramuscular injections

Acute rheumatic fever is a preventable condition that can lead to chronic illness and early death. Standard prevention with 4-weekly intramuscular (IM) benzathine penicillin G (BPG) injections for ≥10 years may be associated with poor adherence. High-dose 10-weekly subcutaneous penicillin injections (SCIP) may improve adherence by reducing injection frequency.

Population pharmacokinetics of penicillin G: insights into increased clearance at low concentrations to guide development of improved long-acting formulations for syphilis

Although benzylpenicillin (penicillin G) is listed by the World Health Organization as an Essential Medicine, dose optimization is a persistent challenge, especially for long-acting intramuscular formulations. Maintaining sustained antibiotic exposure at target concentrations is crucial for secondary chemoprophylaxis of rheumatic heart disease and treatment of syphilis.

BEAT-CF (Bayesian Evidence Adaptive Treatment for people with Cystic Fibrosis): description of a prospective cohort for nested studies in cystic fibrosis

Despite recent improvements in treatment modalities for cystic fibrosis (CF), there is currently limited evidence and a lack of consensus regarding optimal treatment strategies for the different aspects of CF, including pulmonary exacerbations (PEx). We aimed to establish a prospective cohort of people with CF (pwCF) to evaluate alternative approaches to managing CF in the era of modulator therapies.

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.

Yarning with a remote Aboriginal community about the next steps for achieving healthy skin

Skin health is widely recognised as being important for overall good health and well-being, yet the burden of skin infections in remote Aboriginal communities remains high. This project aimed to explore if virtual support for skin health could be a strategy to reduce community barriers to skin health engagement.

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.

Urinary tract infections in children: building a causal model-based decision support tool for diagnosis with domain knowledge and prospective data

Diagnosing urinary tract infections (UTIs) in children in the emergency department (ED) is challenging due to the variable clinical presentations and difficulties in obtaining a urine sample free from contamination.

BEAT CF pulmonary exacerbations core protocol for evaluating the management of pulmonary exacerbations in people with cystic fibrosis

Cystic fibrosis (CF) is a rare, inherited, life-limiting condition predominantly affecting the lungs, for which there is no cure. The disease is characterized by recurrent pulmonary exacerbations (PEx), which are thought to drive progressive lung damage. Management of these episodes is complex and generally involves multiple interventions targeting different aspects of disease. The emergence of innovative trials and use of Bayesian statistical methods has created renewed opportunities for studying heterogeneous populations in rare diseases.

The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverage

While most Australian children are vaccinated, delays in vaccination can put them at risk from preventable infections. Widespread mobile phone ownership in Australia could allow automated short message service (SMS) reminders to be used as a low-cost strategy to effectively 'nudge' parents towards vaccinating their children on time.