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Research
Vaccine hesitancy, refusal and access barriers: The need for clarity in terminologyWe propose more precision in the term 'vaccine hesitancy' is needed particularly since much under-vaccination arises from factors related to access
Research
Characterization and novel analyses of acute stress response patterns in a population-based cohort of young adults: influence of gender, smoking, and BMIIn a young adult cohort, stress-response patterns, in addition to other parameters vary with gender, smoking, and BMI
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Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysisThis study aimed to map the national, regional and local prevalence of hypertension and diabetes in Ethiopia.
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Urinary tract infections in children: building a causal model-based decision support tool for diagnosis with domain knowledge and prospective dataDiagnosing 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.
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Advancing the management and control of typhoid fever: a review of the historical role of human challenge studiesImproved understanding of Salmonella Typhi infection can help accelerate the development of improved vaccines and diagnostic tests necessary for disease control
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Reply to Farmakiotis et al:Typhoid fever in an inner city hospital: a 5-year retrospective review.This paper comments on the difficulty diagnosing typhoid and other infections causing severe diarrhoea, especially in regions where it is a common problem...
The Infectious Disease Implementation Research Team is a multi-disciplinary group researching the best way to implement infectious disease prevention and treatment strategies to improve the wellbeing of children and teenagers.
Research
AuTOmatic: Adaptive Trial of MessAging to improve Immunisation CoverageTom Snelling BMBS DTMH GDipClinEpid PhD FRACP Head, Infectious Disease Implementation Research 08 6319 1817 tom.snelling@thekids.org.au Head,
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BEAT-CF: Bayesian Evidence-Adaptive Tool to optimise management of Cystic FibrosisAn innovative response-adaptive approach to driving improvements in health outcomes, applied to cystic fibrosis.
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Prediction of Causative Pathogen of Osteomyelitis Using Bayesian Network ModellingAsha Christopher Tom Bowen Blyth Snelling BA MBBS DCH FRACP PhD GAICD FAHMS OAM MBBS (Hons) DCH FRACP FRCPA PhD BMBS DTMH GDipClinEpid PhD FRACP Head