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PATRIC: Pragmatic Adaptive Trial for Respiratory Infections in ChildrenChristopher Peter Tom Blyth Richmond Snelling MBBS (Hons) DCH FRACP FRCPA PhD MBBS MRCP(UK) FRACP BMBS DTMH GDipClinEpid PhD FRACP Centre Head,
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Effectiveness of 7-Valent Pneumococcal Conjugate Vaccine Against Invasive Pneumococcal Disease in Medically At-Risk Children in Australia: A Record Linkage StudyChildren with chronic medical conditions are at higher risk of invasive pneumococcal disease (IPD), but little is known about the effectiveness of the primary course of pneumococcal conjugate vaccine (PCV) in these children.
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Neuropsychiatric outcomes in offspring after fetal exposure to maternal influenza infection during pregnancy: A systematic reviewIncreasing evidence suggests that influenza infection in pregnancy may disrupt fetal neurodevelopment. The impact of maternal influenza infection on offspring neuropsychiatric health has not been comprehensively reviewed.
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Core protocol for the adaptive Platform Trial In COVID-19 Vaccine priming and BOOsting (PICOBOO)The need for coronavirus 2019 (COVID-19) vaccination in different age groups and populations is a subject of great uncertainty and an ongoing global debate. Critical knowledge gaps regarding COVID-19 vaccination include the duration of protection offered by different priming and booster vaccination regimens in different populations, including homologous or heterologous schedules.
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Randomised controlled trials of behavioural nudges delivered through text messages to increase influenza and COVID-19 vaccines among pregnant women (the EPIC study): study protocolInfluenza and COVID-19 infections during pregnancy may have serious adverse consequences for women as well as their infants. However, uptake of influenza and COVID-19 vaccines during pregnancy remains suboptimal. This study aims to assess the effectiveness of a multi-component nudge intervention to improve influenza and COVID-19 vaccine uptake among pregnant women.
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among children with pneumonia using a causal Bayesian networkPneumonia remains a leading cause of hospitalization and death among young children worldwide, and the diagnostic challenge of differentiating bacterial from non-bacterial pneumonia is the main driver of antibiotic use for treating pneumonia in children. Causal Bayesian networks (BNs) serve as powerful tools for this problem as they provide clear maps of probabilistic relationships between variables and produce results in an explainable way by incorporating both domain expert knowledge and numerical data.
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The effects of birth spacing on early childhood development in high-income nations: A systematic reviewThis study aimed to systematically review the literature on the associations between birth spacing and developmental outcomes in early childhood (3–10 years of age). Studies examining the associations between interpregnancy intervals and child development outcomes during and beyond the perinatal period have not been systematically reviewed.
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Progress towards a coordinated, national paediatric antimicrobial resistance surveillance programmeThese data support that children are not just 'little adults' in the AMR era, and analyses by age group are important to detect differences in antibiotic susceptibility
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Spatial patterns of tuberculosis and HIV coinfection in EthiopiaOur study provides evidence for geographic clustering of tuberculosis/human immunodeficiency virus co-infection in Ethiopia
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Effectiveness of rotavirus vaccines in an Australian population: A case-control studyRV1 and RV5 were both effective in preventing laboratory confirmed and notified rotavirus infections among children aged <5 years