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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.
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).
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.
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.
HIV, tuberculosis (TB) and malaria are the three most important infectious diseases in Ethiopia, and sub-Saharan Africa. Understanding the spatial codistribution of these diseases is critical for designing geographically targeted and integrated disease control programmes. This study investigated the spatial overlap and drivers of HIV, TB and malaria prevalence in Ethiopia.
The spatial and temporal variability inherent in malaria transmission within countries implies that targeted interventions for malaria control in high-burden settings and subnational elimination are a practical necessity. Identifying the spatio-temporal incidence, risk, and trends at different administrative geographies within malaria-endemic countries and monitoring them in near real-time as change occurs is crucial for developing and introducing cost-effective, subnational control and elimination intervention strategies.
As malaria incidence decreases and more countries move towards elimination, maps of malaria risk in low-prevalence areas are increasingly needed. For low-burden areas, disaggregation regression models have been developed to estimate risk at high spatial resolution from routine surveillance reports aggregated by administrative unit polygons.
A retrospective cohort study was conducted using clinical data from patients attending TB clinics at four public hospitals in Northwest Ethiopia. We modelled BMI trajectories after TB treatment initiation using linear mixed models, with adjustments for potential confounders.
Differential exposure and effect of malaria results from blends of biophysical, geospatial, and social determinants of health (SDoH). Likewise, effective policies and programmatic interventions against malaria must consider the complex interaction of social and spatial factors, while comprehensive health promotion approaches must simultaneously tackle SDoH and the ecological dimensions that drive malaria.
The antirelapse efficacy of primaquine is related to the total dose administered, whereas the risks of haemolysis and gastrointestinal intolerance are associated with the daily dose administered. National Malaria Control Programmes require local information on efficacy, tolerability and safety to optimize antimalarial treatment policies for Plasmodium vivax malaria control and elimination efforts.