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Research

Spatial and Temporal Data Visualisation for Mass Dissemination: Advances in the Era of COVID-19

The COVID-19 pandemic is the first major pandemic of the digital age and has been characterised by unprecedented public consumption of spatial and temporal disease data, which can enable greater transparency and accountability of governments to the public for their public health decisions.

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Use of data linkage to investigate the aetiology of acute lower respiratory infection hospitalisations in children

The aim was to document the aetiology of acute lower respiratory infection (ALRI) hospitalisations in Western Australian children

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The changing epidemiology of invasive pneumococcal disease

We investigated trends in invasive pneumococcal disease (IPD) in Western Australia (WA).

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Diverging trends for lower respiratory infections in non-Aboriginal and Aboriginal children

To investigate temporal trends in admission rates for acute lower respiratory infections (ALRI) in a total population birth cohort of non-Aboriginal and...

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Perinatal risk factors associated with skin infection hospitalisation in Western Australian Aboriginal and Non-Aboriginal children

We have quantified the relative influence of perinatal risk factors associated with skin infection hospitalisations in WA children

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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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Using record linkage to examine testing patterns for respiratory viruses among children born in Western Australia

Using linked data, we describe changes in respiratory virus testing among children born in Western Australia in 1996-2012

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Using record linkage to validate notification and laboratory data for a more accurate assessment of notifiable infectious diseases

Studies investigating pathogen-specific infectious disease would benefit from using multiple data sources.

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Parainfluenza Virus Infection in an Australian Community-based Birth Cohort

In a community-based birth cohort of 158 Australian infants followed to age 2 years, the incidence rate of human parainfluenza virus (HPIV) was 0.42 (95% CI = 0.33, 0.54) episodes per child-year with episodes occurring year-round, peaking in the spring season.

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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