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Climate change could cause more than 500,000 malaria deaths in Africa by 2050

World-first research from The Kids Research Institute Australia and Curtin University predicts climate change could trigger more than 100 million additional malaria cases and 500,000 additional deaths in Africa by 2050, including substantial impacts on children.

Major funding boost accelerates fight against malaria

Research to eliminate one of the world’s deadliest diseases – malaria – will be accelerated thanks to a USD $4.7 million grant from the Gates Foundation for scientists at The Kids Research Institute Australia and The University of Western Australia (UWA).

International funding boost for global malaria research

The Malaria Atlas Project (MAP) – which houses the world’s largest malaria database and is at the forefront of efforts to track and tackle the disease – has been awarded more than $16 million by the Bill & Melinda Gates Foundation.

Pandemic healthcare disruptions contributed to 76,000 extra malaria deaths: report

Disruptions of malaria case management caused by the COVID-19 pandemic likely contributed to an extra 76,000 malaria deaths in sub-Saharan Africa, according to analysis by The Kids Research Institute Australia and Curtin University.

$12 million grant puts WA research team in the hot seat to help wipe out malaria forever

A world-leading research team built to tackle malaria has relocated from Oxford University to Western Australia to take advantage of the state’s growing big data talent pool.

The effect and control of malaria in pregnancy and lactating women in the Asia-Pacific region

Half of all pregnancies at risk of malaria worldwide occur in the Asia-Pacific region, where Plasmodium falciparum and Plasmodium vivax co-exist. Despite substantial reductions in transmission, malaria remains an important cause of adverse health outcomes for mothers and offspring, including pre-eclampsia. Malaria transmission is heterogeneous, and infections are commonly subpatent and asymptomatic.

Severe outcomes of malaria in children under time-varying exposure

In malaria epidemiology, interpolation frameworks based on available observations are critical for policy decisions and interpreting disease burden. Updating our understanding of the empirical evidence across different populations, settings, and timeframes is crucial to improving inference for supporting public health.

High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis

Namibia, a low malaria transmission country targeting elimination, has made substantial progress in reducing malaria burden through improved case management, widespread indoor residual spraying and distribution of insecticidal nets. The country's diverse landscape includes regions with varying population densities and geographical niches, with the north of the country prone to periodic outbreaks.

Fine-scale maps of malaria incidence to inform risk stratification in Laos

Malaria risk maps are crucial for controlling and eliminating malaria by identifying areas of varying transmission risk. In the Greater Mekong Subregion, these maps guide interventions and resource allocation. This article focuses on analysing changes in malaria transmission and developing fine-scale risk maps using five years of routine surveillance data in Laos (2017-2021). The study employed data from 1160 geolocated health facilities in Laos, along with high-resolution environmental data. 

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.