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Strep A modelling: OpenStrepA

Strep A causes a huge global burden of disease, from sore throats to rheumatic heart disease. Our team is developing a computer simulation model, OpenStrepA, to help researchers tackle this disease.

Vaccine Impact Modelling Consortium (VIMC) supporting Gavi, the Vaccine Alliance

In this project, our team provides malaria vaccine impact predictions to inform vaccine investment strategies for Gavi, the Vaccine Alliance, and their partners.

Julian Heng

Julian is the Program Manager for the Global Disease Modelling team at The Kids Research Institute Australia.

Epke Annelie Le Rutte

Epke is a veterinarian that specializes in infectious disease control, and holds a PhD in human neglected tropical disease (NTD) control and elimination.

Estimating the potential malaria morbidity and mortality avertable by the US President's Malaria Initiative in 2025: a geospatial modelling analysis

Since its inception in 2005, the US President's Malaria Initiative (PMI) has played a major role in the reductions in malaria morbidity and mortality observed across Africa. With the status of PMI funding and operations currently uncertain, we aimed to quantify the impact that a fully functioning PMI would have on malaria cases and deaths in Africa during 2025. 

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.

AnophelesModel: An R package to interface mosquito bionomics, human exposure and intervention effects with models of malaria intervention impact

In recent decades, field and semi-field studies of malaria transmission have gathered geographic-specific information about mosquito ecology, behaviour and their sensitivity to interventions. Mathematical models of malaria transmission can incorporate such data to infer the likely impact of vector control interventions and hence guide malaria control strategies in various geographies.

Effect of maternal prebiotic supplementation on human milk immunological composition: Insights from the SYMBA study

Immunomodulatory proteins in human milk (HM) can shape infant immune development. However, strategies to modulate their levels are currently unknown. This study investigated whether maternal prebiotic supplementation alters the levels of immunomodulatory proteins in HM. 

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.