Search Results - "Lucas, Tim"
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A translucent box: interpretable machine learning in ecology
Published in Ecological monographs (01-11-2020)“…Machine learning has become popular in ecology but its use has remained restricted to predicting, rather than understanding, the natural world. Many…”
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Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000–17: a spatial and temporal modelling study
Published in The Lancet (British edition) (27-07-2019)“…Since 2000, the scale-up of malaria control interventions has substantially reduced morbidity and mortality caused by the disease globally, fuelling bold aims…”
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3
Joint spatiotemporal modelling reveals seasonally dynamic patterns of Japanese encephalitis vector abundance across India
Published in PLoS neglected tropical diseases (01-02-2022)“…Predicting vector abundance and seasonality, key components of mosquito-borne disease (MBD) hazard, is essential to determine hotspots of MBD risk and target…”
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Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data
Published in PloS one (30-11-2017)“…Statistical approaches for inferring the spatial distribution of taxa (Species Distribution Models, SDMs) commonly rely on available occurrence data, which is…”
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A simulation study of disaggregation regression for spatial disease mapping
Published in Statistics in medicine (15-01-2022)“…Disaggregation regression has become an important tool in spatial disease mapping for making fine‐scale predictions of disease risk from aggregated response…”
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Projected health impact of post-discharge malaria chemoprevention among children with severe malarial anaemia in Africa
Published in Nature communications (25-01-2023)“…Children recovering from severe malarial anaemia (SMA) remain at high risk of readmission and death after discharge from hospital. However, a recent trial…”
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Dynamics of SARS-CoV-2 with waning immunity in the UK population
Published in Philosophical transactions of the Royal Society of London. Series B. Biological sciences (19-07-2021)“…The dynamics of immunity are crucial to understanding the long-term patterns of the SARS-CoV-2 pandemic. Several cases of reinfection with SARS-CoV-2 have been…”
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The origins and relatedness structure of mixed infections vary with local prevalence of P. falciparum malaria
Published in eLife (12-07-2019)“…Individual malaria infections can carry multiple strains of with varying levels of relatedness. Yet, how local epidemiology affects the properties of such…”
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Predicted Impact of COVID-19 on Neglected Tropical Disease Programs and the Opportunity for Innovation
Published in Clinical infectious diseases (26-04-2021)“…Due to the COVID-19 pandemic, many key neglected tropical disease (NTD) activities have been postponed. This hindrance comes at a time when the NTDs are…”
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A downscaling approach to compare COVID‐19 count data from databases aggregated at different spatial scales
Published in Journal of the Royal Statistical Society. Series A, Statistics in society (01-01-2022)“…As the COVID‐19 pandemic continues to threaten various regions around the world, obtaining accurate and reliable COVID‐19 data is crucial for governments and…”
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Mapping the global endemicity and clinical burden of Plasmodium vivax, 2000–17: a spatial and temporal modelling study
Published in The Lancet (British edition) (27-07-2019)“…Plasmodium vivax exacts a significant toll on health worldwide, yet few efforts to date have quantified the extent and temporal trends of its global…”
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Mapping malaria seasonality in Madagascar using health facility data
Published in BMC medicine (10-02-2020)“…Many malaria-endemic areas experience seasonal fluctuations in case incidence as Anopheles mosquito and Plasmodium parasite life cycles respond to changing…”
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Contact tracing is an imperfect tool for controlling COVID-19 transmission and relies on population adherence
Published in Nature communications (13-09-2021)“…Emerging evidence suggests that contact tracing has had limited success in the UK in reducing the R number across the COVID-19 pandemic. We investigate…”
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Using eMMA to Manage Medication
Published in Computer (Long Beach, Calif.) (01-08-2018)“…The electronic medication management assistant (eMMA) aims to empower patients to manage their medication and ask questions through a conversational user…”
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Stimulus classification with electrical potential and impedance of living plants: comparing discriminant analysis and deep-learning methods
Published in Bioinspiration & biomimetics (01-03-2023)“…The physiology of living organisms, such as living plants, is complex and particularly difficult to understand on a macroscopic, organism-holistic level. Among…”
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Coupling of Fischer-Tropsch reaction kinetics, enhanced vapor–liquid flash calculation and residence time distribution modeling for time-dependent product determination in load-flexible plants
Published in Chemical engineering journal (Lausanne, Switzerland : 1996) (15-12-2020)“…•FT reaction kinetics were adopted to description of a pilot-scale microchannel reactor.•Product condensation was matched by non-ideal vapor–liquid equilibrium…”
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Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991-2019
Published in Malaria journal (20-10-2020)“…Anti-malarial drugs play a critical role in reducing malaria morbidity and mortality, but their role is mediated by their effectiveness. Effectiveness is…”
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Engagement and adherence trade-offs for SARS-CoV-2 contact tracing
Published in Philosophical transactions of the Royal Society of London. Series B. Biological sciences (19-07-2021)“…Contact tracing is an important tool for allowing countries to ease lockdown policies introduced to combat SARS-CoV-2. For contact tracing to be effective,…”
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disaggregation : An R Package for Bayesian Spatial Disaggregation Modeling
Published in Journal of statistical software (2023)“…Disaggregation modeling, or downscaling, has become an important discipline in epidemiology. Surveillance data, aggregated over large regions, is becoming more…”
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A generalised random encounter model for estimating animal density with remote sensor data
Published in Methods in ecology and evolution (01-05-2015)“…Summary Wildlife monitoring technology is advancing rapidly and the use of remote sensors such as camera traps and acoustic detectors is becoming common in…”
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