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Infection and VaccinesListed are The Kids Research Institute Australia research teams involved in our Infection and Vaccines Program. This program sits under the Early Environment research theme.
Research
Spatiotemporal patterns of influenza in Western AustraliaUnderstanding the geospatial distribution of influenza infection and the risk factors associated with infection clustering can inform targeted preventive interventions. We conducted a geospatial analysis to investigate the spatial patterns and identify drivers of medically attended influenza infection across all age groups in Western Australia.
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Assessing the Impact of Pneumococcal Conjugate Vaccine Immunization Schedule Change From 3+0 to 2+1 in Australian Children: A Retrospective Observational StudyIn mid-2018, the Australian childhood 13-valent pneumococcal conjugate vaccine schedule changed from 3+0 to 2+1, moving the third dose to 12 months of age, to address increasing breakthrough cases of invasive pneumococcal disease (IPD), predominantly in children aged >12 months. This study assessed the impact of this change using national IPD surveillance data.
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Challenges and considerations for antifungal prophylaxis in children with acute myeloid leukemiaChildren receiving treatment for acute myeloid leukemia (AML) are at high risk of invasive fungal disease (IFD). Evidence from pediatric studies support the efficacy of antifungal prophylaxis in reducing the burden of IFD in children receiving therapy for AML, yet existing antifungal agents have specific limitations and comparative data to inform the optimal prophylactic approach are lacking.
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Comparative effectiveness of interventions for preventing tuberculosis: systematic review and network meta-analysis of interventional studiesTuberculosis (TB) is the leading infectious cause of death globally. Several preventive measures are employed to prevent TB, yet there is a paucity of evidence on the effectiveness of these interventions. Therefore, this study aimed to identify the most effective interventions for reducing TB incidence.
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Silver Diamine Fluoride Staining With Potassium Iodide: A Prospective Cohort StudyStaining after silver diamine fluoride (SDF) treatment limits treatment acceptability but is also used as a clinical indicator of lesion stability. Potassium iodide (KI) has been postulated to modify SDF staining. Understanding the natural history and resultant shade of SDF/KI-treated lesions will inform clinical decision-making. This study describes the change in colour of carious lesions in primary teeth treated with SDF and KI.
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The risk of mother-to-child transmission of hepatitis B virus infection in Ethiopia: A systematic review and meta-analysisMother-to-child transmission (MTCT) of hepatitis B virus (HBV) is a predominant route of infection for children in Ethiopia. No study has so far reported a nationwide estimate of the risk of MTCT of HBV. We conducted a meta-analysis of surveys and estimated the pooled risk of MTCT of HBV in the context of human immunodeficiency virus (HIV) infection.
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A surge in human metapneumovirus paediatric respiratory admissions in Western Australia following the reduction of SARS-CoV-2 non-pharmaceutical interventionsWestern Australian laboratory data demonstrated a decrease in human metapneumovirus detections through 2020 associated with SARS-CoV-2-related non-pharmaceutical interventions, followed by a subsequent surge in metropolitan region in mid-2021. We aimed to assess the impact of the surge in hMPV on paediatric hospital admissions and the contribution of changes in testing.
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The potential global cost-effectiveness of prospective Strep A vaccines and associated implementation effortsGroup A Streptococcus causes a wide range of diseases from relatively mild infections including pharyngitis to more severe illnesses such as invasive diseases and rheumatic heart disease (RHD). Our aim is to estimate the cost-effectiveness of a hypothetical Strep A vaccine on multiple disease manifestations at the global-level.
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Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical expertsCOVID-19 is a new multi-organ disease causing considerable worldwide morbidity and mortality. While many recognized pathophysiological mechanisms are involved, their exact causal relationships remain opaque. Better understanding is needed for predicting their progression, targeting therapeutic approaches, and improving patient outcomes. While many mathematical causal models describe COVID-19 epidemiology, none have described its pathophysiology.