A5076020546- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Neutrino Physics Research
- Malaria Research and Control
- Mosquito-borne diseases and control
- Dark Matter and Cosmic Phenomena
- Black Holes and Theoretical Physics
- Spatial and Panel Data Analysis
- Atomic and Subatomic Physics Research
- Particle Detector Development and Performance
- Computational Physics and Python Applications
- COVID-19 epidemiological studies
- Urban, Neighborhood, and Segregation Studies
- Bird parasitology and diseases
- Genetic and phenotypic traits in livestock
- Cosmology and Gravitation Theories
- Antibiotic Use and Resistance
- Data-Driven Disease Surveillance
- Health disparities and outcomes
- Terrorism, Counterterrorism, and Political Violence
- Particle Accelerators and Free-Electron Lasers
- Antibiotic Resistance in Bacteria
- Superconducting Materials and Applications
- Nuclear physics research studies
University of Oxford
2015-2023
Open Data Institute
2020-2021
Infectious Diseases Data Observatory
2019
National Institute of Technology Durgapur
2019
Centro Brasileiro de Pesquisas Físicas
2016-2017
European Organization for Nuclear Research
2016
R. G. Kar Medical College and Hospital
2014
Medical College and Hospital, Kolkata
2014
Since 2000, the scale-up of malaria control interventions has substantially reduced morbidity and mortality caused by disease globally, fuelling bold aims for elimination. In tandem with increased availability geospatially resolved data, programmes increasingly use high-resolution maps to characterise spatially heterogeneous patterns risk thus efficiently target areas high burden.
Plasmodium vivax exacts a significant toll on health worldwide, yet few efforts to date have quantified the extent and temporal trends of its global distribution. Given challenges associated with proper diagnosis treatment P vivax, national malaria programmes-particularly those pursuing elimination strategies-require up assessments endemicity disease impact. This study presents first maps clinical burden from 2000 2017.In this spatial modelling study, we adjusted routine malariometric...
Abstract Insecticide-treated nets (ITNs) are one of the most widespread and impactful malaria interventions in Africa, yet a spatially-resolved time series ITN coverage has never been published. Using data from multiple sources, we generate high-resolution maps access, use, nets-per-capita annually 2000 to 2020 across 40 highest-burden African countries. Our findings support several existing hypotheses: that use is high among those with discarded more quickly than official policy presumes,...
Predictive models informed by theory may produce policy-relevant prediction of terrorism.
Abstract Background Anti-malarial drugs play a critical role in reducing malaria morbidity and mortality, but their is mediated by effectiveness. Effectiveness defined as the probability that an anti-malarial drug will successfully treat individual infected with parasites under routine health care delivery system. effectiveness (AmE) influenced resistance, quality, system patient adherence to use; its influence on burden varies through space time. Methods This study uses data from 232...
Abstract Background Many malaria-endemic areas experience seasonal fluctuations in case incidence as Anopheles mosquito and Plasmodium parasite life cycles respond to changing environmental conditions. Identifying location-specific seasonality characteristics is useful for planning interventions. While most existing maps of malaria use fixed thresholds rainfall, temperature, and/or vegetation indices identify suitable transmission months, we construct a statistical modelling framework...
Abstract Disaggregation regression has become an important tool in spatial disease mapping for making fine‐scale predictions of risk from aggregated response data. By including high resolution covariate information and modeling the data generating process on a fine scale, it is hoped that these models can accurately learn relationships between covariates at scale. However, validating be challenge, as often there no observed this In study, disaggregation was performed simulated various...
Disaggregation modeling, or downscaling, has become an important discipline in epidemiology. Surveillance data, aggregated over large regions, is becoming more common, leading to increasing demand for modeling frameworks that can deal with this data understand spatial patterns. regression models use response heterogeneous regions make predictions at fine-scale the region by using covariates inform heterogeneity. This paper presents R package disaggregation, which provides functionality...
BACKGROUND Blood products are essential for modern medicine, but managing their collection and supply in the face of fluctuating demands represents a major challenge. As deterministic models based on predicted changes population have been problematic, there remains need more precise reliable prediction demands. Here, we propose paradigm incorporating four different time‐series methods to predict red blood cell (RBC) issues 4 24 weeks ahead. STUDY DESIGN AND METHODS We used daily aggregates...
Maps of disease burden are a core tool needed for the control and elimination malaria. Reliable routine surveillance data malaria incidence, typically aggregated to administrative units, is becoming more widely available. Disaggregation regression an important model framework estimating high resolution risk maps from data. However, aggregation incidence over large, heterogeneous areas means that these underpowered complex, non-linear models. In contrast, prevalence point-surveys directly...
Abstract Background Red blood cells are essential for modern medicine but managing their collection and supply to cope with fluctuating demands represents a major challenge. As deterministic models based on predicted population changes have been problematic, there remains need more precise reliable prediction of use. Here, we develop three new time‐series methods predict red cell use 4 52 weeks ahead. Study Design Methods From daily aggregates (RBC) units issued from 2005 2011 the NHS Blood...
The present study is mainly devoted to the bankruptcy prediction models and their ability assess a probability for oil drilling exploration sector of Indian. puts an effort determine financial health 12 selected companies from this India period 5 years. These serve backbone many other industries such as transport industry, manufacturing automobile industry so on Indian economy. has taken reference Altman’s Z-score model, where ratios working capital total asset, retained earnings before...
Metallo-β-lactamase producing carbapenem non-susceptible multidrug resistant Pseudomonas aeruginosa creates a great challenge for treatment as the choice of antibiotics gets severely restricted .This study aimed at detecting such strains in different clinical samples tertiary care hospital Kolkata.Materials and methods-Out 169 isolates detected spp.inMicrobiology laboratory 98 consecutive non-duplicate phenotypically confirmed were selected following inclusion criteria being to≥ 3 classes...
Summary As malaria incidence decreases and more countries move towards elimination, maps of risk in low prevalence areas are increasingly needed. For burden areas, disaggregation regression models have been developed to estimate at high spatial resolution from routine surveillance reports aggregated by administrative unit polygons. However, with both data surveys, that make use the information point-surveys great potential. Using case studies Indonesia, Senegal Madagascar, we compare two...
Abstract Maps of infection risk are a vital tool for the elimination malaria. Routine surveillance data malaria case counts, often aggregated over administrative regions, is becoming more widely available and can better measure low than prevalence surveys. However, aggregation counts large, heterogeneous areas means that these underpowered learning relationships between environment risk. A model combines point surveys could have benefits both but must be able to account fact two types...
UNUSUAL MANIFESTATIONS OF MALARIAIt is reasonable to suggest, therefore, that abnormal sensi- tivity streptomycin or a direct poisoning 'by the drug most probable cause of symptoms.
Disaggregation modelling, or downscaling, has become an important discipline in epidemiology. Surveillance data, aggregated over large regions, is becoming more common, leading to increasing demand for modelling frameworks that can deal with this data understand spatial patterns. regression models use response heterogenous regions make predictions at fine-scale the region by using covariates inform heterogeneity. This paper presents R package disaggregation, which provides functionality...
Abstract Insecticide-treated nets (ITNs) are one of the most widespread and impactful malaria interventions in Africa, yet a spatially-resolved time series ITN coverage has never been published. Using data from multiple sources, we generate high-resolution maps access, use, nets-per-capita annually 2000 to 2020 across 40 highest-burden African countries. Our findings support several existing hypotheses: that use is high among those with discarded more quickly than official policy presumes,...
Abstract As malaria incidence decreases and more countries move towards elimination, maps of risk in low-prevalence areas are increasingly needed. For low-burden areas, disaggregation regression models have been developed to estimate at high spatial resolution from routine surveillance reports aggregated by administrative unit polygons. However, with both data prevalence surveys, that make use the information point-surveys might accurate predictions. Using case studies Indonesia, Senegal...
Metallo-β-lactamase producing carbapenem non-susceptible multidrug resistant Pseudomonas aeruginosa creates a great challenge for treatment as the choice of antibiotics gets severely restricted .This study aimed at detecting such strains in different clinical samples tertiary care hospital Kolkata.Materials and methods-Out 169 isolates detected spp.inMicrobiology laboratory 98 consecutive non-duplicate phenotypically confirmed were selected following inclusion criteria being to≥ 3 classes...