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Infant, maternal and demographic predictors of delayed vaccination: A population-based cohort study

Receiving vaccines at or close to their due date (vaccination timeliness) is a now key measure of program performance. However, studies comprehensively examining predictors of delayed infant vaccination are lacking. We aimed to identify predictors of short and longer-term delays in diphtheria-tetanus-pertussis (DTP) vaccination by dose number and ethnicity.

Cohort profile: A population-based record linkage platform to address critical epidemiological evidence gaps in respiratory syncytial virus and other respiratory infections

The Western Australia (WA) Respiratory Infections Linked Data Platform is a population-based cohort established to investigate the epidemiology of RSV and other respiratory infections in children aged 0-10 years, incorporating microbiological testing patterns, hospital admissions, emergency department presentations, and socio-demographic data.

Impact of an evidence-based sepsis pathway on paediatric hospital clinical practice: A quality improvement study

To assess the impact of implementing a sepsis pathway and education program on key sepsis outcomes and performance targets in a tertiary paediatric hospital.

Nirsevimab immunisation of infants and respiratory syncytial virus (RSV)-associated hospitalisations, Western Australia, 2024: a population-based analysis

Christopher Peter Hannah Blyth Richmond Moore MBBS (Hons) DCH FRACP FRCPA PhD MBBS MRCP(UK) FRACP OAM BSc (Hons) GradDipClinEpi PhD Centre Head,

Estimating the impact of Western Australia's first respiratory syncytial virus immunisation program for all infants: A mathematical modelling study

The Australian Therapeutic Goods Administration approved the use of nirsevimab, a long-acting monoclonal antibody for the prevention of Respiratory Syncytial Virus (RSV), in November 2023. Western Australia (WA) implemented a combination of nirsevimab administration strategies designed to protect all infants starting in April 2024, before the epidemic season. We developed a dynamic transmission model to predict the impact of WA's RSV immunisation program on infant hospitalisations.

The value of molecular point-of-care testing for Group A Streptococcal pharyngitis in a remote, non-clinical Australian setting

Group A Streptococcal (GAS) pharyngitis is an important precursor infection to severe complications including rheumatic fever and invasive GAS. Rapid molecular point of care testing (POCT) for GAS infection has advantages over traditional microbiological culture, especially in settings with limited or absent laboratory infrastructure and where GAS complications predominate.

The overlapping global distribution of dengue, chikungunya, Zika and yellow fever

Arboviruses transmitted mainly by Aedes (Stegomyia) aegypti and Ae. albopictus, including dengue, chikungunya, and Zika viruses, and yellow fever virus in urban settings, pose an escalating global threat. Existing risk maps, often hampered by surveillance biases, may underestimate or misrepresent the true distribution of these diseases and do not incorporate epidemiological similarities despite shared vector species.

The relationship between administratively recorded ethnicity and outcomes for people admitted to Australian intensive care units with COVID-19

The relationship between ethnicity and mortality of patients critically ill with COVID-19 in Australia has not been described. Defining those communities at the highest risk of severe COVID-19 may assist with formulating effective public health policy and may improve the equitable delivery of health care in Australia.

RSV: an update on prevention and management

Respiratory syncytial virus (RSV) is a common cause of respiratory tract infections in infants and young children, and adults over 60 years of age. Infants born prematurely, adults aged over 75 years, individuals with medical conditions such as chronic cardiac or respiratory disease, or obesity, and Aboriginal and Torres Strait Islander people are at increased risk of severe RSV disease. 

Predicting immune protection against outcomes of infectious disease from population-level effectiveness data with application to COVID-19

Quantifying the extent to which previous infections and vaccinations confer protection against future infection or disease outcomes is critical to managing the transmission and consequences of infectious diseases. We present a general statistical model for predicting the strength of protection conferred by different immunising exposures (numbers, types, and strains of both vaccines and infections), against multiple outcomes of interest, whilst accounting for immune waning.