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Research
Reopening to the world: how safety, normality and trust in government shape young adults’ COVID-19 vaccine intentionsDuring the COVID-19 pandemic, and particularly 2020-2021, young adults were often significant transmitters of the virus. Prior to the availability of vaccines for young adults, we sought to understand what would contribute to their uptake of a COVID-19 vaccine and how government policy might intervene. We undertook qualitative interviews between February and April 2021 with 19 participants (aged 18-29) in Perth, Western Australia.
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Seroprevalence and associated risk factors of chikungunya, dengue, and Zika in eight districts in TanzaniaThis study was conducted to determine the seroprevalence and risk factors of chikungunya (CHIKV), dengue (DENV), and Zika (ZIKV) viruses in Tanzania.
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Opisthorchis viverrini and Strongyloides stercoralis mono- and co-infections: Bayesian geostatistical analysis in an endemic area, ThailandParasitic infections caused by Opisthorchis viverrini and Strongyloides stercoralis remain a major public health threat in the Greater Mekong Sub-region. An understanding of climate and other environmental influences on the geographical distribution and emergence of parasitic diseases is a crucial step to guide targeted control and prevention programs.
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Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New GuineaMalaria risk is highly heterogeneous. Understanding village and household-level spatial heterogeneity of malaria risk can support a transition to spatially targeted interventions for malaria elimination. This analysis uses data from cross-sectional prevalence surveys conducted in 2014 and 2016 in two villages (Megiar and Mirap) in Papua New Guinea.
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The Impact of a Multifaceted Tertiary Pediatric Hospital's Antimicrobial Stewardship ServiceAntimicrobials are the most commonly prescribed drug class in children. Overuse through inappropriate prescribing is a key driver of antimicrobial resistance and is recognized as one of the top 10 threats to global health by the World Health Organization.
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Preventing severe influenza in Australian infants: Maternal influenza vaccine effectiveness in the PAEDS-FluCAN networks using the test-negative designChristopher Blyth MBBS (Hons) DCH FRACP FRCPA PhD Centre Head, Wesfarmers Centre of Vaccines and Infectious Diseases; Co-Head, Infectious Diseases
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Comparison of group A streptococcal titres in healthy children and those with pharyngitis and skin infectionsRates of acute rheumatic fever, a sequelae of group A Streptococcal (GAS) infection, remain unacceptably high in Indigenous Māori and Pacific children in New Zealand. This prospective study aimed to describe GAS antibody titres in healthy children (5–14 years) by ethnicity, and to determine how paired titres vary with GAS culture positive and negative pharyngitis, and GAS skin infections.
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Respiratory follow-up to improve outcomes for Aboriginal children: twelve key stepsAmong Aboriginal children, the burden of acute respiratory tract infections (ALRIs) with consequent bronchiectasis post-hospitalisation is high. Clinical practice guidelines recommend medical follow-up one-month following discharge, which provides an opportunity to screen and manage persistent symptoms and may prevent bronchiectasis.
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Consensus guidelines for antifungal stewardship, surveillance and infection prevention, 2021Invasive fungal diseases (IFD) are serious infections associated with high mortality, particularly in immunocompromised patients. The prescribing of antifungal agents to prevent and treat IFD is associated with substantial economic burden on the health system, high rates of adverse drug reactions, significant drug-drug interactions and the emergence of antifungal resistance.
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Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malariaIndividual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration to biological and epidemiological data challenging. We propose using a Bayesian optimization framework employing Gaussian process or machine learning emulator functions to calibrate a complex malaria transmission simulator.