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Tracking global intervention coverageAdam Dan Saddler Weiss PhD PhD Research Officer Honorary Research Fellow Daniel.Weiss@thekids.org.au Research Officer Honorary Research Fellow Adam
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Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysisSubstantial progress has been made in reducing the burden of malaria in Africa since 2000, but those gains could be jeopardised if the COVID-19 pandemic affects the availability of key malaria control interventions. The aim of this study was to evaluate plausible effects on malaria incidence and mortality under different levels of disruption to malaria control.
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Carriage prevalence of extended-spectrum β-lactamase producing enterobacterales in outpatients attending community health centers in Blantyre, MalawiAntimicrobial resistance due to extended-spectrum β-lactamase (ESBL) production by Enterobacterales is a global health problem contributing to increased morbidity and mortality, particu-larly in resource-constrained countries. We aimed to determine the prevalence of extended-spectrum β-lactamase-producing Enterobacterales (ESBL-E) in community patients in Blantyre, Malawi.
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WALLABY pre-pilot survey: H i content of the Eridanus supergroupWe present observations of the Eridanus supergroup obtained with the Australian Square Kilometre Array Pathfinder (ASKAP) as part of the pre-pilot survey for the Widefield ASKAP L-band Legacy All-sky Blind surveY (WALLABY).
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Malaria Atlas Project (MAP)The Malaria Atlas Project (MAP) aims to disseminate free, accurate and up-to-date geographical information on malaria and associated topics. Our mission is to generate new and innovative methods to map malaria, to produce a comprehensive range of maps and estimates that will support effective planning of malaria
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Malaria components of the Global Burden of Disease studyAdam Dan Francesca Susan Saddler Weiss Sanna Rumisha PhD PhD Dr PhD (Biostatistics) Research Officer Honorary Research Fellow Research Officer
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A malaria seasonality dataset for sub-Saharan AfricaMalaria imposes a significant global health burden and remains a major cause of child mortality in sub-Saharan Africa. In many countries, malaria transmission varies seasonally. The use of seasonally-deployed interventions is expanding, and the effectiveness of these control measures hinges on quantitative and geographically-specific characterisations of malaria seasonality.
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A global mathematical model of climatic suitability for Plasmodium falciparum malariaClimatic conditions are a key determinant of malaria transmission intensity, through their impacts on both the parasite and its mosquito vectors. Mathematical models relating climatic conditions to malaria transmission can be used to develop spatial maps of climatic suitability for malaria. These maps underpin efforts to quantify the distribution and burden of malaria in humans, enabling improved monitoring and control.
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Challenges in the case-based surveillance of infectious diseasesTo effectively inform infectious disease control strategies, accurate knowledge of the pathogen's transmission dynamics is required. Since the timings of infections are rarely known, estimates of the infection incidence, which is crucial for understanding the transmission dynamics, often rely on measurements of other quantities amenable to surveillance.
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What Heterogeneities in Individual-level Mobility Are Lost During Aggregation? Leveraging GPS Logger Data to Understand Fine-scale and Aggregated Patterns of MobilityHuman movement drives spatial transmission patterns of infectious diseases. Population-level mobility patterns are often quantified using aggregated data sets, such as census migration surveys or mobile phone data. These data are often unable to quantify individual-level travel patterns and lack the information needed to discern how mobility varies by demographic groups. Individual-level datasets can capture additional, more precise, aspects of mobility that may impact disease risk or transmission patterns and determine how mobility differs across cohorts; however, these data are rare, particularly in locations such as sub-Saharan Africa.