Search Results - "Nandi, Anita K."
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Maps and metrics of insecticide-treated net access, use, and nets-per-capita in Africa from 2000-2020
Published in Nature communications (11-06-2021)“…Insecticide-treated nets (ITNs) are one of the most widespread and impactful malaria interventions in Africa, yet a spatially-resolved time series of ITN…”
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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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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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Prediction paradigm involving time series applied to total blood issues data from England
Published in Transfusion (Philadelphia, Pa.) (01-03-2020)“…BACKGROUND Blood products are essential for modern medicine, but managing their collection and supply in the face of fluctuating demands represents a major…”
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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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Improved long‐term time‐series predictions of total blood use data from England
Published in Transfusion (Philadelphia, Pa.) (01-10-2020)“…Background Red blood cells are essential for modern medicine but managing their collection and supply to cope with fluctuating demands represents a major…”
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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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Predicting non-state terrorism worldwide
Published in Science advances (01-07-2021)“…Predictive models informed by theory may produce policy-relevant prediction of terrorism. Several thousand people die every year worldwide because of terrorist…”
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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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Mapping malaria by sharing spatial information between incidence and prevalence data sets
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01-06-2021)“…As malaria incidence decreases and more countries move towards elimination, maps of malaria risk in low‐prevalence areas are increasingly needed. For…”
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Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence
Published in Spatial and spatio-temporal epidemiology (01-06-2022)“…Maps of disease burden are a core tool needed for the control and elimination of malaria. Reliable routine surveillance data of malaria incidence, typically…”
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Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
Published in The Lancet (British edition) (17-10-2020)“…In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends…”
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A simulation study of disaggregation regression for spatial disease mapping
Published 07-05-2020“…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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14
disaggregation: An R Package for Bayesian Spatial Disaggregation Modelling
Published 09-01-2020“…Disaggregation modelling, or downscaling, has become an important discipline in epidemiology. Surveillance data, aggregated over large regions, is becoming…”
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