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Specificity of the Modified Jones CriteriaJonathan Carapetis AM AM MBBS FRACP FAFPHM PhD FAHMS Executive Director; Co-Head, Strep A Translation; Co-Founder of REACH 08 6319 1000 contact@
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Malaria risk stratification in Lao PDR guides program planning in an elimination settingMalaria in Lao People's Democratic Republic (Lao PDR) has declined rapidly over the last two decades, from 279,903 to 3926 (99%) cases between 2001 and 2021. Elimination of human malaria is an achievable goal and limited resources need to be targeted at remaining hotspots of transmission.
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Updating estimates of Plasmodium knowlesi malaria risk in response to changing land use patterns across Southeast AsiaPlasmodium knowlesi is a zoonotic parasite that causes malaria in humans. The pathogen has a natural host reservoir in certain macaque species and is transmitted to humans via mosquitoes of the Anopheles Leucosphyrus Group. The risk of human P. knowlesi infection varies across Southeast Asia and is dependent upon environmental factors.
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Facilitating knowledge transfer during Australia’s COVID-19 vaccine rollout: an examination of ‘Functional Dialogues’ as an approach to bridge the evidence–policy gapOur interdisciplinary team initiated a project to inform the COVID-19 vaccination programme. We developed a novel research co-creation approach to share emerging findings with government.
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Economic burden of multidrug-resistant tuberculosis on patients and households: a global systematic review and meta-analysisMultidrug-resistant tuberculosis (MDR-TB) is a major health threat worldwide, causing a significant economic burden to patients and their families. Due to the longer duration of treatment and expensive second-line medicine, the economic burden of MDR-TB is assumed to be higher than drug-susceptible TB.
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Nirsevimab immunisation of infants and respiratory syncytial virus (RSV)-associated hospitalisations, Western Australia, 2024: a population-based analysisChristopher Peter Hannah Blyth Richmond Moore MBBS (Hons) DCH FRACP FRCPA PhD MBBS MRCP(UK) FRACP OAM BSc (Hons) GradDipClinEpi PhD Centre Head,
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Predicting immune protection against outcomes of infectious disease from population-level effectiveness data with application to COVID-19Quantifying 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.
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Prevention of rheumatic heart disease in New Zealand: High-dose subcutaneous benzathine penicillin is cost-saving compared with traditional intramuscular injectionsAcute rheumatic fever is a preventable condition that can lead to chronic illness and early death. Standard prevention with 4-weekly intramuscular (IM) benzathine penicillin G (BPG) injections for ≥10 years may be associated with poor adherence. High-dose 10-weekly subcutaneous penicillin injections (SCIP) may improve adherence by reducing injection frequency.
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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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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.