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Research

OPTIMUM: OPTimising IMmunisation Using Mixed schedules

Pat Peter Susan Tom Jennifer Holt Richmond Prescott Snelling Kent PhD, DSc, FRCPath, FRCPI, FAA MBBS MRCP(UK) FRACP MBBS BMedSci PhD FRACP BMBS DTMH

Research

Vaccine hesitancy, refusal and access barriers: The need for clarity in terminology

We propose more precision in the term 'vaccine hesitancy' is needed particularly since much under-vaccination arises from factors related to access

Research

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...

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Advancing the management and control of typhoid fever: a review of the historical role of human challenge studies

Improved understanding of Salmonella Typhi infection can help accelerate the development of improved vaccines and diagnostic tests necessary for disease control

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Effectiveness of a 3 + 0 pneumococcal conjugate vaccine schedule against invasive pneumococcal disease among a birth cohort of 1.4 million children in Australia

Our population-based cohort study demonstrates that >90% coverage in the first year of a universal 3 + 0 PCV program provided high population-level protection

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Characterization and novel analyses of acute stress response patterns in a population-based cohort of young adults: influence of gender, smoking, and BMI

In a young adult cohort, stress-response patterns, in addition to other parameters vary with gender, smoking, and BMI

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The interaction between respiratory viruses and pathogenic bacteria

Data on asymptomatic identification rates of respiratory viruses are limited, particularly in Indigenous populations, who suffer a high burden of OM.

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Choosing primary endpoints for clinical trials of health care interventions

This narrative review describes the evolution, range and relative strengths and weaknesses of endpoints used in late phase trials

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Predicting the causative pathogen among children with osteomyelitis using Bayesian networks – improving antibiotic selection in clinical practice

We have demonstrated the potential use of Bayesian Networks in improving antibiotic selection for children with osteomyelitis

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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.