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        71-80 of 109 results for 'machine learning'

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        Research

        Maps and metrics of insecticide-treated net access, use, and nets-per-capita in Africa from 2000-2020

        Insecticide-treated nets (ITNs) are one of the most widespread and impactful malaria interventions in Africa, yet a spatially-resolved time series of ITN coverage has never been published. Using data from multiple sources, we generate high-resolution maps of ITN access, use, and nets-per-capita annually from 2000 to 2020 across the 40 highest-burden African countries. ...

        Research

        Geospatial joint modeling of vector and parasite serology to microstratify malaria transmission

        The World Health Organization identifies a strong surveillance system for malaria and its mosquito vector as an essential pillar of the malaria elimination agenda. Anopheles salivary antibodies are emerging biomarkers of exposure to mosquito bites that potentially overcome sensitivity and logistical constraints of traditional entomological surveys. ...

        Research

        Spatiotemporal mapping of malaria incidence in Sudan using routine surveillance data

        Malaria is a serious threat to global health, with over 95 % of the cases reported in 2020 by the World Health Organization in African countries, including Sudan. Sudan is a low-income country with a limited healthcare system and a substantial burden of malaria. ...

        News & Events

        Enhancing the lung health for preterm birth survivors by uncovering treatable traits

        A project to uncover treatable traits to improve the lung health of people born preterm has been made possible thanks to a $1.99 million Medical Research Future Fund (MRFF) grant.  ...

        Research

        Trends in treatment-seeking for fever in children under five years old in 151 countries from 1990 to 2020

        Access to medical treatment for fever is essential to prevent morbidity and mortality in individuals and to prevent transmission of communicable febrile illness in communities. Quantification of the rates at which treatment is accessed is critical for health system planning and a prerequisite for disease burden estimates.  ...

        Research

        Precision pathways for young children at risk of Neurodevelopmental Disorders: Early identification and adaptive intervention starting from the prenatal period

        Amy Andrew Carol Deborah Gail Helen Jenny Kandice Martyn Finlay-Jones Whitehouse Watch and listen to Andrew Bower Strickland Alvares Leonard Downs ...

        Research

        Mapping malaria by sharing spatial information between incidence and prevalence data sets

        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. ...

        Computational Biology

        Timo Chin Wee Timothy Chapman Kathryn Farley Published in science published in nature published in nature published in nature published in nature ...

        Research

        Geospatial modelling for malaria risk stratification and intervention targeting for high burden high impact countries

        Ewan Mark Punam Susan Tasmin Cameron Connell Amratia Rumisha Symons EC MC PA SR TS BSc PhD MSc PhD PhD (Biostatistics) Director of Malaria Risk ...

        Research

        THINK BIG - Neurodevelopmental Disorders

        Amy Andrew Helen Jenny Martyn Melissa Finlay-Jones Whitehouse Watch and listen to Andrew Leonard Downs Symons Licari AFJ AJ HM JA MS ML BPsych(Hons), ...

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