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The Platform Trial In COVID-19 Priming and BOOsting (PICOBOO): The immunogenicity, reactogenicity, and safety of different COVID-19 vaccinations administered as a second boosterPICOBOO is a randomised, adaptive trial evaluating the immunogenicity, reactogenicity, and safety of COVID-19 booster strategies. We report data for second boosters among individuals 50-<70 years old primed with AZD1222 (50-<70y-AZD1222) until Day 84.
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Whole-of-Life Inclusion in Bayesian Adaptive Platform Clinical TrialsThere is a recognized unmet need for clinical trials to provide evidence-informed care for infants, children and adolescents. This Special Communication outlines the capacity of 3 distinct trial design strategies, sequential, parallel, and a unified adult-pediatric bayesian adaptive design, to incorporate children into clinical trials and transform this current state of evidence inequity. A unified adult-pediatric whole-of-life clinical trial is demonstrated through the Staphylococcus aureus Network Adaptive Platform (SNAP) trial.
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Evaluation of Pediatric HIV Postexposure Prophylaxis Guideline Following Child Sexual Assault in Western AustraliaHIV postexposure prophylaxis (PEP) following child sexual assault (CSA) is recommended in select cases. High rates of poor adherence to PEP are reported. We evaluated adherence to the recommended management of children following CSA at the tertiary pediatric facility in Western Australia and compared our approach with international guidelines.
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The influence of incomplete case ascertainment on measures of vaccine efficacyA biologically active vaccine may produce a low measured vaccine efficacy under a range of epidemiological, vaccine-related and logistical conditions
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Systemic antibiotics for chronic suppurative otitis mediaTo assess the effects of systemic antibiotics for people with chronic suppurative otitis media.
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Baseline incidence of adverse birth outcomes and infant influenza and pertussis hospitalisations prior to the introduction of influenza and pertussis vaccinationThese baseline data are essential to assess the safety and effectiveness of influenza and pertussis vaccinations in pregnant women from the NT
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The AuTOMATIC trial: a study protocol for a multi-arm Bayesian adaptive randomised controlled trial of text messaging to improve childhood immunisation coverageWhile 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.
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Bridging the gaps in test interpretation of SARS-CoV-2 through Bayesian network modellingIn the absence of an established gold standard, an understanding of the testing cycle from individual exposure to test outcome report is required to guide the correct interpretation of SARS-CoV-2 reverse transcriptase real-time polymerase chain reaction (RT-PCR) results and optimise the testing processes.
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Influenza vaccination in Western Australian children: Exploring the health benefits and cost savings of increased vaccine coverage in childrenTo 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.
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BEAT CF pulmonary exacerbations core protocol for evaluating the management of pulmonary exacerbations in people with cystic fibrosisCystic 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.