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Rethinking a hybrid malaria chemoprevention delivery strategy for children in sub-perennial settings: a modelling study integrating age- and seasonally-targeted delivery

The World Health Organization recommends perennial malaria chemoprevention (PMC), generally using sulfadoxine-pyrimethamine (SP) to children at high risk of severe Plasmodium falciparum malaria. Currently, PMC is given up to age two in perennial transmission settings. However, no recommendation exists for perennial settings with seasonal variation in transmission intensity, recently categorized as 'sub-perennial'.

The growth of rural and remote Aboriginal and Torres Strait Islander community laundries: an integrative scoping review

This article documents the establishment of community laundries in rural/remote Aboriginal and Torres Strait Islander communities between 2000-2024, with the aim to support synergistic planning, implementation and evaluation. 

Value profile for Malaria vaccines and monoclonal antibodies1

Malaria remains a leading cause of morbidity and mortality and is responsible for over 0.5 million annual deaths globally. During the first two decades of this century, scale-up of a range of tools was associated with significant reductions in malaria mortality in the primary risk group, young African children.

Therapeutic development to accelerate malaria control through intentional intervention layering

The clinical development of novel vaccines, injectable therapeutics, and oral chemoprevention drugs has the potential to deliver significant advancements in the prevention of Plasmodium falciparum malaria. These innovations could support regions in accelerating malaria control, transforming existing intervention packages by supplementing interventions with imperfect effectiveness or offering an entirely new tool.

A roadmap for understanding sulfadoxine-pyrimethamine in malaria chemoprevention

Melissa Penny PhD, PD, BSc (Hons) Professor Fiona Stanley Chair in Child Health Research melissa.penny@thekids.org.au Professor Fiona Stanley Chair

Global Disease Modelling

We help shape how the world responds to infectious diseases: guiding vaccine and treatment development, and advising on public health measures to control and eliminate disease. Our mathematical models capture how diseases spread, how severe infections are, and how childhood exposure shapes health across a lifetime.

Vegetation structure drives mosquito community composition in UK's largest managed lowland wetland

The rising burden of mosquito-borne diseases in Europe extends beyond urban areas, encompassing rural and semi-urban regions near managed and natural wetlands evidenced by recent outbreaks of Usutu and West Nile viruses. While wetland management policies focus on biodiversity and ecosystem services, few studies explore the impact on mosquito vectors.

Efficacy thresholds and target populations for antiviral COVID-19 treatments to save lives and costs: a modelling study

In 2023 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was declared endemic, yet hospital admissions have persisted and risen within populations at high and moderate risk of developing severe disease, which include those of older age, and those with co-morbidities. Antiviral treatments, currently only available for high-risk individuals, play an important role in preventing severe disease and hospitalisation within this subpopulation.

Seasonal malaria chemoprevention and the spread of Plasmodium falciparum quintuple-mutant parasites resistant to sulfadoxine–pyrimethamine: a modelling study

Seasonal malaria chemoprevention (SMC) with sulfadoxine-pyrimethamine plus amodiaquine prevents millions of clinical malaria cases in children younger than 5 years in Africa's Sahel region. However, Plasmodium falciparum parasites partially resistant to sulfadoxine-pyrimethamine (with quintuple mutations) potentially threaten the protective effectiveness of SMC. We evaluated the spread of quintuple-mutant parasites and the clinical consequences. 

Intervention effect of targeted workplace closures may be approximated by single-layered networks in an individual-based model of COVID-19 control

Individual-based models of infectious disease dynamics commonly use network structures to represent human interactions. Network structures can vary in complexity, from single-layered with homogeneous mixing to multi-layered with clustering and layer-specific contact weights. Here we assessed policy-relevant consequences of network choice by simulating different network structures within an established individual-based model of SARS-CoV-2 dynamics.