ORCID Profile
0000-0001-8014-7798
Current Organisations
Public Health Foundation of India
,
Qatar University College of Medicine
,
Deakin University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Structural Engineering | Robotics And Mechatronics | Signal Processing | Transport Engineering | Systems Theory | Simulation And Modelling | Nanotechnology | Construction Materials | Computer Communications Networks | Environmental Engineering | Civil Engineering | Distributed Computing | Environmental Engineering Modelling | Ubiquitous Computing | Distributed and Grid Systems | Mobile Technologies | Networking and Communications | Communications Technologies | Urban and Regional Planning not elsewhere classified | Manufacturing Engineering | Safety And Quality | Interdisciplinary Engineering Not Elsewhere Classified | Engineering/Technology Instrumentation | Interdisciplinary Engineering | Decision Support And Group Support Systems | Intelligent Robotics |
ANZSRC Socio-Economic Objective (SEO)
Scientific instrumentation | Integration of farm and forestry | Weather | The aged | Urban and Industrial Air Quality | Atmospheric Composition (incl. Greenhouse Gas Inventory) | Environmentally Sustainable Construction not elsewhere classified | Injury control | Environmentally Sustainable Manufacturing not elsewhere classified | Medical instrumentation | Road safety | Automotive equipment | Integrated (ecosystem) assessment and management | Forestry not elsewhere classified | Information Processing Services (incl. Data Entry and Capture) | Communication equipment not elsewhere classified | Environmentally Sustainable Transport not elsewhere classified | Machinery and equipment not elsewhere classified
Related Links
Publications
Dynamics of anti-S IgG antibodies titers after the second dose of COVID 19 mRNA and non-mRNA vaccines in the manual and craft worker population of Qatar
Publisher: Cold Spring Harbor Laboratory
Date: 25-08-2022
DOI: 10.1101/2022.08.24.22279159
Abstract: There is limited seroepidemiological evidence on the magnitude and long-term durability of antibody titers of mRNA and non-mRNA vaccines in the Qatari population. This study was conducted to generate evidence on long-term anti-S IgG antibodies titers and their dynamics in in iduals who have completed a primary COVID-19 vaccination schedule. A total of 300 participants who received any of the following vaccines BNT162b2/Comirnaty or mRNA-1273 or ChAdOx1-S/Covishield or COVID-19 Vaccine Janssen/Johnson or BBIBP-CorV or Covaxin were enrolled in our study. All sera s les were tested by chemiluminescent microparticle immunoassay (CMIA) for the quantitative determination of IgG antibodies to SARS-CoV-2, receptor-binding domain (RBD) of the S1 subunit of the spike protein of SARS-CoV-2. Antibodies against SARS-CoV-2 nucleocapsid (SARS-CoV-2 N-protein IgG) were also determined. Kaplan–Meier survival curves were used to compare the time from the last dose of the primary vaccination schedule to the time by which anti-S IgG antibodies titers fell into the lowest quartile (range of values collected) for the mRNA and non-mRNA vaccines. Participants vaccinated with mRNA vaccines had higher median anti-S IgG antibody titers. Participants vaccinated with the mRNA-1273 vaccine had the highest median anti-S-antibody level of 13720.9 AU/mL (IQR 6426.5 to 30185.6 AU/mL) followed by BNT162b2 (median, 7570.9 AU/ml IQR, 3757.9 to 16577.4 AU/mL) while the median anti-S antibody titer for non-mRNA vaccinated participants was 3759.7 AU/mL (IQR, 2059.7-5693.5 AU/mL). The median time to reach the lowest quartile was 3.53 months (IQR, 2.2-4.5 months) and 7.63 months (IQR, 6.3-8.4 months) for the non-mRNA vaccine recipients and Pfizer vaccine recipients, respectively. However, more than 50% of the Moderna vaccine recipients did not reach the lowest quartile by the end of the follow-up period. This evidence on anti-S IgG antibody titers, their durability and decay over time should be considered for the utility of these assays in transmission dynamics after the full course of primary vaccination.
Stereo-Vision-Based Moving Object Tracking via Robust Linear Filtering
Publisher: IEEE
Date: 2007
Outpatient antibiotic prescription rate and pattern in the private sector in India: Evidence from medical audit data
Publisher: Public Library of Science (PLoS)
Date: 13-11-2019
Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Bearing-Only Localization using Geometrically Constrained Optimization
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2009
Access To Non Communicable Disease Medicines in India: A Comparative Analysis of State Level Public Procurement Data
Publisher: Elsevier BV
Date: 11-2014
Optimal sensor placement in linear arrays: Part I — AoA based localization
Publisher: IEEE
Date: 12-2011
The Study to Track Human Arm Kinematics Applying Solutions of Wahba’s Problem upon Inertial/Magnetic Sensors
Publisher: Springer International Publishing
Date: 2016
Optimal Range-Difference-Based Localization Considering Geometrical Constraints
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2008
Robust Localization With Minimum Number of TDoA Measurements
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2013
Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Assessment of Shoulder Range of Motion Using a Wireless Inertial Motion Capture Device—A Validation Study
Publisher: MDPI AG
Date: 13-04-2019
DOI: 10.3390/S19081781
Abstract: (1) Background: Measuring joint range of motion has traditionally occurred with a universal goniometer or expensive laboratory based kinematic analysis systems. Technological advances in wearable inertial measurement units (IMU) enables limb motion to be measured with a small portable electronic device. This paper aims to validate an IMU, the ‘Biokin’, for measuring shoulder range of motion in healthy adults (2) Methods: Thirty participants completed four shoulder movements (forward flexion, abduction, and internal and external rotation) on each shoulder. Each movement was assessed with a goniometer and the IMU by two testers independently. The extent of agreement between each tester’s goniometer and IMU measurements was assessed with intra-class correlation coefficients (ICC) and Bland-Altman 95% limits of agreement (LOA). Secondary analysis compared agreement between tester’s goniometer or IMU measurements (inter-rater reliability) using ICC’s and LOA (3) Results: Goniometer and IMU measurements for all movements showed high levels of agreement when taken by the same tester ICCs 0.90 and LOAs ±5 degrees. Inter-rater reliability was lower ICCs ranged between 0.71 to 0.89 and LOAs were outside a prior defined acceptable LOAs (i.e., ±5 degrees) (4) Conclusions: The current study provides preliminary evidence of the concurrent validity of the Biokin IMU for assessing shoulder movements, but only when a single tester took measurements. Further testing of the Biokin’s psychometric properties is required before it can be confidently used in routine clinical practice and research settings.
Trajectory characterizations for a discrete-time bearing-only navigation strategy
Publisher: IEEE
Date: 06-2008
6G Internet of Things: A Comprehensive Survey
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Evaluating the impact of price regulation (Drug Price Control Order 2013) on antibiotic sales in India: a quasi-experimental analysis, 2008–2018
Publisher: Springer Science and Business Media LLC
Date: 22-10-2022
DOI: 10.1186/S40545-022-00466-4
Abstract: In India, due to a lack of population-level financial risk protection mechanisms, the expenditure on healthcare is primarily out-of-pocket in nature. Through Drug Price Control Orders (DPCOs), the Indian Government attempts to keep medicine prices under check. The aim of this study was to measure the potential impact of DPCO 2013 on the utilization of antibiotics under price regulation in India using large nationally representative pharmaceutical sales data. We used interrupted time series analysis, a quasi-experimental research design to estimate the impact of DPCO 2013 on the utilization of antibiotics in the private sector in India. Indian pharmaceutical sales data set, PharmaTrac from a market research company—All Indian Origin Chemists and Distributors Limited—was used for the study. The data are collected from a panel of around 18,000 stockists across 23 different regions of the country. The primary outcome measure is the percentage change (increase or decrease) in the sales volume of the antibiotics under DPCO 2013, measured in standard units (SUs). Our estimates suggest that post-intervention (after notification of DPCO 2013) there was an immediate reduction (level change) in the sales of antibiotics under DPCO 2013 by 3.7% ( P 0.05), followed by a sustained decline (trend change) of 0.3% ( P 0.05) as compared to the pre-intervention trend at the molecule level, but both changes were statistically insignificant. However, in terms of ‘average monthly market share,’ the DPCO 2013 notification resulted in a sharp reduction of 579% ( P 0.05) (level change) followed by a sustained increase of 9.5% ( P 0.05) (trend change) in the ‘market share of antibiotics under DPCO’ as compared to pre-intervention trend. The impact of DPCO 2013 in terms of the overall increase in the utilization of antibiotics under price regulation was limited but there was a switch from non-price controlled antibiotics to price regulated antibiotics (notified under DPCO 2013). We argue that policies on price control need to be complemented with continuous monitoring of market behavior to have a measurable and long-term impact.
Effect of Parkinsonism on Proximal Unstructured Movement Captured by Inertial Sensors
Publisher: IEEE
Date: 07-2018
Using Autonomous Mobile Agents for Efficient Data Collection in Sensor Networks
Publisher: IEEE
Date: 07-2006
Detection of vehicles with monolithic classifier vis-à-vis a boosted cascaded classifier
Publisher: IEEE
Date: 12-2009
Uplink power control via adaptive HMM estimation
Publisher: IEEE
Date: 12-2009
Quality of life assessment & out-of-pocket expenditure in multiple myeloma: An observational study
Publisher: Medknow
Date: 2021
A Mobile Cloud Computing Framework Integrating Multilevel Encoding for Performance Monitoring in Telerehabilitation
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/617840
Abstract: Recent years have witnessed a surge in telerehabilitation and remote healthcare systems blessed by the emerging low-cost wearable devices to monitor biological and biokinematic aspects of human beings. Although such telerehabilitation systems utilise cloud computing features and provide automatic biofeedback and performance evaluation, there are demands for overall optimisation to enable these systems to operate with low battery consumption and low computational power and even with weak or no network connections. This paper proposes a novel multilevel data encoding scheme satisfying these requirements in mobile cloud computing applications, particularly in the field of telerehabilitation. We introduce architecture for telerehabilitation platform utilising the proposed encoding scheme integrated with various types of sensors. The platform is usable not only for patients to experience telerehabilitation services but also for therapists to acquire essential support from analysis oriented decision support system (AODSS) for more thorough analysis and making further decisions on treatment.
Secrecy Performance of the UAV Enabled Cognitive Relay Network
Publisher: IEEE
Date: 12-2018
A constrained nonlinear optimization solution for 3D orientation estimation of the human limb
Publisher: IEEE
Date: 08-2017
A general pose estimation algorithm in a multi-Kinect system
Publisher: IEEE
Date: 12-2014
Distributed power control in cellular mobile radio systems with time-varying link gains
Publisher: IEEE
Date: 10-2006
A comparison for capturing arm kinematics using solutions of Wahba's problem and ordinary data fusion mechanisms
Publisher: IEEE
Date: 10-2016
Effects of wrist kinematic coupling movements during dart-thrower's motion
Publisher: IEEE
Date: 10-2016
Quantitative Assessment of Cerebellar Ataxia With Kinematic Sensing During Rhythmic Tapping
Publisher: IEEE
Date: 07-2018
Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Stability analysis of a general family of nonlinear positive discrete time-delay systems
Publisher: Informa UK Limited
Date: 10-02-2016
Suppression of interference in continuous wave Doppler radar based respiratory measurements
Publisher: Elsevier BV
Date: 03-2016
Multitarget Tracking via Space Transformations Using a Single Frequency Continuous Wave Radar
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2012
Diabetologist's perspective on practice of evidence based diabetes management in India
Publisher: Elsevier BV
Date: 02-2012
DOI: 10.1016/J.DIABRES.2011.09.021
Abstract: Diabetes demands early diagnosis, prompt treatment, continuous monitoring and follow up. Physicians play a pivotal role in diabetes management. However, evidence suggests that sub-optimal knowledge of guidelines and other issues may lead to ineffective management and poor patient outcomes. The aim of this research was to identify clinical diabetologist's perspectives on evidence based diabetes management, benefits of and barriers to the practice of evidence based guidelines in management of type 2 diabetes. Clinical diabetologists were administered a semi-structured questionnaire. Qualitative responses were analysed to identify key words, phrases and concepts from respondents. Majority of diabetologist (78.2%) preferred ADA guidelines alone or in combination with others guidelines where as 12.7% diabetologist follow all the guidelines on case by case basis. 27% and 25% diabetologists opined that guidelines ensure uniform standard of care across patient and achievement of diabetes management goals respectively. Poor awareness among physicians (22.7%), western guidelines being not applicable to Indian patients (22.7%), cost to patient (18.2%) were some of the barrier to practice of evidence based diabetes management. Some of the mechanism suggested to improve the practice of evidence based diabetes management included education of physicians in EBM (28.9%), making practice of evidence based guidelines legally binding (10.5%) and wider dissemination of existing guidelines (7.8%).
Robust Video/Ultrasonic Fusion-Based Estimation for Automotive Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2007
Secure Computation Offloading in Blockchain Based IoT Networks With Deep Reinforcement Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2021
Planar Receiver Placement for Unique Emitter Localization for Indoor Applications
Publisher: IEEE
Date: 10-2007
Location Based Power Control for Energy Critical Sensors in a Disconnected Network
Publisher: IEEE
Date: 08-2006
Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
On backwards and forwards reachable sets bounding for perturbed time-delay systems
Publisher: Elsevier BV
Date: 10-2015
Mobile Agent Tracking with Single Frequency Continuous Wave Radar: A Linear Robust Filtering Based Approach⋆
Publisher: Elsevier BV
Date: 2011
Localization of Emitters via the Intersection of Bearing Lines: A Ghost Elimination Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2007
Maximum likelihood approach for tracking multiple mobile agents with a moving Doppler radar system
Publisher: IEEE
Date: 12-2010
Componentwise ultimate bounds for positive discrete time-delay systems perturbed by interval disturbances
Publisher: Elsevier BV
Date: 10-2016
Dual Kalman filter for estimating load-free human motion kinematic energy expenditure
Publisher: Elsevier BV
Date: 03-2018
Optimal sensor separation for AoA based localization via linear sensor array
Publisher: IEEE
Date: 12-2010
How do parents and pediatricians arrive at the decision to immunize their children in the private sector? Insights from a qualitative study on rotavirus vaccination across select Indian cities
Publisher: Informa UK Limited
Date: 23-11-2016
Modeling the Progression of Speech Deficits in Cerebellar Ataxia Using a Mixture Mixed-Effect Machine Learning Framework
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Quantitative assessment of cerebellar ataxia, through automated limb functional tests
Publisher: Springer Science and Business Media LLC
Date: 27-02-2019
Localization of mobile transmitters by means of linear state estimation using RSS measurements
Publisher: IEEE
Date: 12-2008
Respiration rate and breathing patterns from Doppler radar measurements
Publisher: IEEE
Date: 12-2014
Does price regulation affect atorvastatin sales in India? An impact assessment through interrupted time series analysis
Publisher: BMJ
Date: 2019
DOI: 10.1136/BMJOPEN-2018-024200
Abstract: The objective of this study was to examine the impact of medicines price regulation (Drug Price Control Order, 2013) on the market share of atorvastatin in the Indian retail market for statins. All Indian states, January 2012 to December 2015. Quasi-experimental—interrupted time series analysis. Pharmaceutical sales audit data set from IMS Health (now IQVIA) for the 48-month period from January 2012 to December 2015. Share of atorvastatin (in percentage) in the Indian market for statins in terms of sales volumes. We observed that the price regulation notification (Drug Price Control Orders, 2013) was associated with 0.12% (p .001 95% CI 0.06 to 0.18) increase in the trend of the average monthly market share of atorvastatin (5 mg and 10 mg). After 31 months of price ceilings notification, the average market share of atorvastatin was 3.41% higher than would have been expected had the price ceilings not been notified. In sensitivity analysis, with a control, our findings remain robust, we observed a 0.16% (p .001 95% CI 0.08 to 0.24) rise in the trend of average monthly market share of atorvastatin (5 mg and 10 mg) as compared with the change in the control. Price control as a public intervention did improve the relative sales of atorvastatin in the statin market in India.
Robust Terminal Attitude Navigation for Autonomous Vehicles
Publisher: IEEE
Date: 11-2005
Location based Power Control for Mobile Devices in a Cellular Network
Publisher: IEEE
Date: 04-0011
Geometric formations in swarm aggregation: An artificial formation force based approach
Publisher: IEEE
Date: 12-2007
Sensing and Characterization of the Wrist Using Dart Thrower’s Movement
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-05-2018
A method for stereo-vision based tracking for robotic applications
Publisher: IEEE
Date: 2008
Identification of moving obstacles with Pyramidal Lucas Kanade optical flow and k means clustering
Publisher: IEEE
Date: 12-2007
Vision-Based Target Tracking and Surveillance With Robust Set-Valued State Estimation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2010
Quantitative Assessment of ADL: A Pilot Study of Upper Extremity Reaching Tasks
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/236474
Abstract: Effective telerehabilitation technologies enable patients with certain physiological disabilities to engage in rehabilitative exercises for performing Activities of Daily Living (ADLs). Therefore, training and assessment scenarios for the performance of ADLs are vital for the promotion for telerehabilitation. In this paper we investigate quantitatively and automatically assessing patient’s kinematic ability to perform functional upper extremity reaching tasks. The shape of the movement trajectory and the instantaneous acceleration of kinematically crucial body parts, such as wrists, are used to compute the approximate entropy of the motions to represent stability (smoothness) in addition to the duration of the activity. Computer simulations were conducted to illustrate the consistency, sensitivity and robustness of the proposed method. A preliminary experiment with kinematic data captured from healthy subjects mimicking a reaching task with dyskinesia showed a high degree of correlation (Cohen’s kappa 0.85 with p 0.05 ) between a human observer and the proposed automatic classification tool in terms of assigning the datasets to various levels to represent the subjects’ kinematic abilities to perform reaching tasks. This study supported the use of Microsoft Kinect to quantitatively evaluate the ability of in iduals with involuntary movements to perform an upper extremity reaching task.
Localization with orientation using RSSI measurements: RF map based approach
Publisher: IEEE
Date: 2007
Exponential Convergence of Time-Delay Systems in the Presence of Bounded Disturbances
Publisher: Springer Science and Business Media LLC
Date: 12-12-2012
Cloud-based non-invasive tele-rehabilitation exercise monitoring
Publisher: IEEE
Date: 12-2014
Optimal Sensor Arrangements in Angle of Arrival (AoA) and Range Based Localization with Linear Sensor Arrays
Publisher: MDPI AG
Date: 12-09-2013
DOI: 10.3390/S130912277
Restricted dart throwing movement for the assessment of wrist functionality
Publisher: IEEE
Date: 08-2017
Measurement of Axial Rigidity and Postural Instability Using Wearable Sensors
Publisher: MDPI AG
Date: 07-02-2018
DOI: 10.3390/S18020495
Private sector vaccine share in overall immunization coverage in India: Evidence from private sector vaccine utilization data (2012-2015)
Publisher: Medknow
Date: 2020
Optimality Analysis of Sensor-Target Geometries in Passive Localization: Part 2 - Time-of-Arrival Based Localization
Publisher: IEEE
Date: 2007
Robust extended Kalman filter based technique for location management in PCS networks
Publisher: Elsevier BV
Date: 03-2004
Optimality Analysis of Sensor-Target Geometries in Passive Localization: Part 1 - Bearing-Only Localization
Publisher: IEEE
Date: 2007
Quantifying the financial burden of households’ out-of-pocket payments on medicines in India: a repeated cross-sectional analysis of National Sample Survey data, 1994–2014
Publisher: BMJ
Date: 05-2018
A state space based approach in non-linear hemodynamic response modeling with fMRI data
Publisher: IEEE
Date: 08-2010
Automated Finger Chase (ballistic tracking) in the Assessment of Cerebellar Ataxia
Publisher: IEEE
Date: 07-2018
Real-Time Lane Detection on Suburban Streets Using Visual Cue Integration
Publisher: SAGE Publications
Date: 04-2014
DOI: 10.5772/58248
Abstract: The detection of lane boundaries on suburban streets using images obtained from video constitutes a challenging task. This is mainly due to the difficulties associated with estimating the complex geometric structure of lane boundaries, the quality of lane markings as a result of wear, occlusions by traffic, and shadows caused by road-side trees and structures. Most of the existing techniques for lane boundary detection employ a single visual cue and will only work under certain conditions and where there are clear lane markings. Also, better results are achieved when there are no other on-road objects present. This paper extends our previous work and discusses a novel lane boundary detection algorithm specifically addressing the abovementioned issues through the integration of two visual cues. The first visual cue is based on stripe-like features found on lane lines extracted using a two-dimensional symmetric Gabor filter. The second visual cue is based on a texture characteristic determined using the entropy measure of the predefined neighbourhood around a lane boundary line. The visual cues are then integrated using a rule-based classifier which incorporates a modified sequential covering algorithm to improve robustness. To separate lane boundary lines from other similar features, a road mask is generated using road chromaticity values estimated from CIE L * a * b * colour transformation. Extraneous points around lane boundary lines are then removed by an outlier removal procedure based on studentized residuals. The lane boundary lines are then modelled with Bezier spline curves. To validate the algorithm, extensive experimental evaluation was carried out on suburban streets and the results are presented.
Robust state estimation for non‐linear systems with unknown delays
Publisher: Institution of Engineering and Technology (IET)
Date: 18-04-2019
Exploiting geometry for improved hybrid AOA/TDOA-based localization
Publisher: Elsevier BV
Date: 07-2008
Energy Efficient, Fully-Connected Mesh Networks for High Speed Applications
Publisher: IEEE
Date: 05-2008
MNEs contribution to the Indian pharmaceutical sector
Publisher: Emerald Publishing Limited
Date: 19-09-2017
Sensor Fusion Based Localization of a Mobile User in a Wireless Network
Publisher: IEEE
Date: 06-2007
Discrete Wirtinger-based inequality and its application
Publisher: Elsevier BV
Date: 05-2015
Distributed Power Control in Cellular Mobile Radio Systems with Time-Varying Link Gains
Publisher: IEEE
Date: 10-2007
Sensor fusion based missile guidance
Publisher: IEEE
Date: 2003
Did the poor gain from India’s health policy interventions? Evidence from benefit-incidence analysis, 2004–2018
Publisher: Springer Science and Business Media LLC
Date: 10-07-2021
DOI: 10.1186/S12939-021-01489-0
Abstract: Health policy interventions were expected to improve access to health care delivery, provide financial risk protection, besides reducing inequities that underlie geographic and socio-economic variation in population access to health care. This article examines whether health policy interventions and accelerated health investments in India during 2004–2018 could close the gap in inequity in health care utilization and access to public subsidy by different population groups. Did the poor and socio-economically vulnerable population gain from such government initiatives, compared to the rich and affluent sections of society? And whether the intended objective of improving equity between different regions of the country been achieved during the policy initiatives? This article attempts to assess and provide robust evidence in the Indian context. Employing Benefit-Incidence Analysis (BIA) framework, this paper advances earlier evidence by highlighting estimates of health care utilization, concentration and government subsidy by broader provider categories (public versus private) and across service levels (outpatient, inpatient, maternal, pre-and post-natal services). We used 2 waves of household surveys conducted by the National S le Survey Organisation (NSSO) on health and morbidity. The period of analysis was chosen to represent policy interventions spanning 2004 (pre-policy) and 2018 (post-policy era). We present this evidence across three categories of Indian states, namely, high-focus states, high-focus north eastern states and non-focus states. Such categorization facilitates quantification of reform impact of policy level interventions across the three groups. Utilisation of healthcare services, except outpatient care visits, accelerated significantly in 2018 from 2004. The difference in utilisation rates between poor and rich (between poorest 20% and richest 20%) had significantly declined during the same period. As far as concentration of healthcare is concerned, the Concentrate Index (CI) underlying inpatient care in public sector fell from 0.07 in 2004 to 0.05 in 2018, implying less pro-rich distribution. The CI in relation to pre-natal, institutional delivery and postnatal services in government facilities were pro-poor both in 2004 and 2018 in all 3 groups of states. The distribution of public subsidy underscoring curative services (inpatient and outpatient) remained pro-rich in 2004 but turned less pro-rich in 2018, measured by CIs which declined sharply across all groups of states for both outpatient (from 0.21 in 2004 to 0.16 in 2018) and inpatient (from 0.24 in 2004 to 0.14 in 2018) respectively. The CI for subsidy on prenatal services declined from approximately 0.01 in 2004 to 0.12 in 2018. In respect to post-natal care, similar results were observed, implying the subsidy on prenatal and post-natal services was overwhelmingly received by poor. The CI underscoring subsidy for institutional delivery although remained positive both in 2018 and 2004, but slightly increased from 0.17 in 2004 to 0.28 in 2018. Improvement in infrastructure and service provisioning through NHM route in the public facilities appears to have relatively benefited the poor. Yet they received a relatively smaller health subsidy than the rich when utilising inpatient and outpatient health services. Inequality continues to persist across all healthcare services in private health sector. Although the NHM remained committed to broader expansion of health care services, a singular focus on maternal and child health conditions especially in backward regions of the country has yielded desired results.
Robust Video/Ultrasonic Fusion Based Estimation for Automotive Applications
Publisher: IEEE
Date: 08-2006
Further result on reachable set bounding for linear uncertain polytopic systems with interval time-varying delays
Publisher: Elsevier BV
Date: 08-2011
A Random Forest Approach for Quantifying Gait Ataxia With Truncal and Peripheral Measurements Using Multiple Wearable Sensors
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-01-2020
Federated Learning for Internet of Things: A Comprehensive Survey
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Object focused simultaneous estimation of optical flow and state dynamics
Publisher: IEEE
Date: 12-2008
Quantifying antibiotic use in typhoid fever in India: a cross-sectional analysis of private sector medical audit data, 2013–2015
Publisher: BMJ
Date: 10-2022
DOI: 10.1136/BMJOPEN-2022-062401
Abstract: To estimate the antibiotic prescription rates for typhoid in India. Cross-sectional study. Private sector primary care clinicians in India. The data came from prescriptions of a panel of 4600 private sector primary care clinicians selected through a multistage stratified random s ling accounting for the region, specialty type and patient turnover. The data had 671 million prescriptions for antibiotics extracted from the IQVIA database for the years 2013, 2014 and 2015. Mean annual antibiotic prescription rates sex-specific and age-specific prescription rates distribution of antibiotic class. There were 8.98 million antibiotic prescriptions per year for typhoid, accounting for 714 prescriptions per 100 000 population. Children 10–19 years of age represented 18.6% of the total burden in the country in absolute numbers, 20–29 year age group had the highest age-specific rate, and males had a higher average rate (844/100 000) compared with females (627/100 000). Ten different antibiotics accounted for 72.4% of all prescriptions. Cefixime–ofloxacin combination was the preferred drug of choice for typhoid across all regions except the south. Combination antibiotics are the preferred choice of prescribers for adult patients, while cephalosporins are the preferred choice for children and young age. Quinolones were prescribed as monotherapy in 23.0% of cases. Nationally representative private sector antibiotic prescription data during 2013–2015 indicate a higher disease burden of typhoid in India than previously estimated. The total prescription rate shows a declining trend. Young adult patients account for close to one-third of the cases and children less than 10 years account for more than a million cases annually.
The impact of stringent prescription-only antimicrobial sale regulation (Schedule H1) in India: an interrupted time series analysis, 2008–18
Publisher: Oxford University Press (OUP)
Date: 09-2020
Abstract: To assess the impact of Schedule H1 regulation notified and implemented in 2014 under the amended rules of the Drugs and Cosmetics Act (DCA), 1940 on the sale of antimicrobials in the private sector in India. The dataset was obtained from the Indian pharmaceutical sales database, PharmaTrac. The outcome measure was the sales volume of antimicrobials in standard units (SUs). A quasi-experimental research design—interrupted time series analysis—was used to detect the impact of the intervention. We observed a substantial rise in antimicrobial consumption during 2008–18 in the private sector in India, both for antimicrobials regulated under Schedule H1 as well as outside the regulation. Key results suggested that post-intervention there was an immediate reduction (level change) in use of Schedule H1 antimicrobials by 10% (P = 0.007), followed by a sustained decline (trend change) in utilization by 9% (P & 0.000) compared with the pre-intervention trend. Segregated analysis on different antimicrobial classes suggests a sharp drop (level changes) and sustained decline (trend changes) in utilization post-intervention compared with the pre-intervention trend. Our findings remained robust on carrying out sensitivity analysis with the oral anti-diabetics market as a control. Post-intervention, the average monthly difference between antimicrobials under Schedule H1 and the control group witnessed an immediate increase of 16.3% (P = 0.10) followed by a sustained reduction of 0.5% (P = 0.13) compared with the pre-intervention scenario. Though the regulation had a positive impact in terms of reducing sales of antimicrobials notified under the regulation, optimizing the effectiveness of such stand-alone policies will be limited unless accompanied by a broader set of interventions.
Robust Parallel Filtering for Mobile Agent Tracking
Publisher: IEEE
Date: 2006
Robust Power Controllers in Cellular Radio Systems
Publisher: IEEE
Date: 05-2008
Burden of Severe Pneumonia, Pneumococcal Pneumonia and Pneumonia Deaths in Indian States: Modelling Based Estimates
Publisher: Public Library of Science (PLoS)
Date: 18-06-2015
Formation control of weak autonomous robots
Publisher: IEEE
Date: 12-2011
Optimal governance and implementation of vaccination programmes to contain the COVID-19 pandemic
Publisher: The Royal Society
Date: 06-2021
DOI: 10.1098/RSOS.210429
Abstract: Since the recent introduction of several viable vaccines for SARS-CoV-2, vaccination uptake has become the key factor that will determine our success in containing the COVID-19 pandemic. We argue that game theory and social network models should be used to guide decisions pertaining to vaccination programmes for the best possible results. In the months following the introduction of vaccines, their availability and the human resources needed to run the vaccination programmes have been scarce in many countries. Vaccine hesitancy is also being encountered from some sections of the general public. We emphasize that decision-making under uncertainty and imperfect information, and with only conditionally optimal outcomes, is a unique forte of established game-theoretic modelling. Therefore, we can use this approach to obtain the best framework for modelling and simulating vaccination prioritization and uptake that will be readily available to inform important policy decisions for the optimal control of the COVID-19 pandemic.
Motion capturing of biomechanical systems in traditional dance using IMU sensors
Publisher: IEEE
Date: 11-2017
Motion segmentation of the greenside bunker shot for training and coaching purposes
Publisher: IEEE
Date: 11-2017
The Assessment of Upper Limb Functionality in Friedreich Ataxia via Self-Feeding Activity
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
Technological Evolution in the Instrumentation of Ataxia Severity Measurement
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Decentralized power control in cellular mobile radio systems with nonlinear and time-varying link gains
Publisher: Elsevier BV
Date: 06-2010
Multidisciplinary treatment of Parkinson’s disease: current state and future directions
Publisher: OMICS Publishing Group
Date: 03-2012
DOI: 10.2217/CPR.12.5
Data monitoring sensor network for BigNet research Testbed
Publisher: IEEE
Date: 12-2009
Universal health coverage in India: Progress achieved & the way forward
Publisher: Medknow
Date: 2018
Target Tracking with Range and Bearing Measurements via Robust Linear Filtering
Publisher: IEEE
Date: 2007
Maximum likelihood estimation for Rician distributed data in analytical q-ball imaging
Publisher: IEEE
Date: 08-2010
Robust ODF smoothing for accurate estimation of fiber orientation
Publisher: IEEE
Date: 08-2010
Maintaining Optimal Co-Channel Interference for Power Efficient Wireless Communication
Publisher: IEEE
Date: 2007
Cooperative Task Offloading and Block Mining in Blockchain-Based Edge Computing With Multi-Agent Deep Reinforcement Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Disparity in socio-economic status explains the pattern of self-medication of antibiotics in India: understanding from game-theoretic perspective
Publisher: The Royal Society
Date: 02-2022
DOI: 10.1098/RSOS.211872
Abstract: The emergence of antimicrobial resistance has raised great concern for public health in many lower-income countries including India. Socio-economic determinants like poverty, health expenditure and awareness accelerate this emergence by influencing in iduals' attitudes and healthcare practices such as self-medication . This self-medication practice is highly prevalent in many countries, where antibiotics are available without prescriptions. Thus, complex dynamics of drug- resistance driven by economy, human behaviour, and disease epidemiology poses a serious threat to the community, which has been less emphasized in prior studies. Here, we formulate a game-theoretic model of human choices in self-medication integrating economic growth and disease transmission processes. We show that this adaptive behaviour emerges spontaneously in the population through a self-reinforcing process and continual feedback from the economy, resulting in the emergence of resistance as externalities of human choice under resource constraints situations. We identify that the disparity between social-optimum and in idual interest in self-medication is primarily driven by the effectiveness of treatment, health awareness and public health interventions. Frequent multiple-peaks of resistant strains are also observed when in iduals imitate others more readily and self-medication is more likely. Our model exemplifies that timely public health intervention for financial risk protection, and antibiotic stewardship policies can improve the epidemiological situation and prevent economic collapse.
BioKin: an ambulatory platform for gait kinematic and feature assessment
Publisher: Institution of Engineering and Technology (IET)
Date: 02-2015
Scope for Rotavirus Vaccination in India: Revisiting the Scientific Evidence
Publisher: Springer Science and Business Media LLC
Date: 25-05-2011
DOI: 10.1007/S12098-011-0448-3
Abstract: Rotavirus vaccines have been developed to prevent deaths resulting from severe diarrhea of rotavirus origin. The use of vaccines as an intervention at scale to prevent and control the burden of rotavirus diarrhea is supported by the argument that prevailing public health measures such as hygiene and sanitation, breast feeding and use of ORS have failed to prevent severe dehydration resulting from diarrhea. The article reviews the existing evidence on the rationale of using rotavirus vaccine as against the feasibility of scaling it up in developing countries like India. The vaccines currently available may not cover the strains circulating in Indian population. The ersity of Rotavirus infection in the country is tremendous and since the safety, immunogenicity and efficacy data has not been collected for India, there is first a need to conduct studies to measure the extent of protection and cross-protection provided by the available vaccines for local strains, before venturing into Rotavirus vaccination program. The potential benefits of immunization have to be first vetted against the risks involved by the policymakers and other stakeholders.
Robust observer-based control designs for discrete nonlinear systems with disturbances
Publisher: Elsevier BV
Date: 11-2018
Power control in CDMA systems based on channel identification
Publisher: IEEE
Date: 12-2008
A survey on blockchain for big data: Approaches, opportunities, and future directions
Publisher: Elsevier BV
Date: 06-2022
Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-06-2022
Deducing the reachable space from fingertip positions
Publisher: IEEE
Date: 08-2015
Smart Cluster Bombs - Control of Multi-agent Systems for Military Applications
Publisher: IEEE
Date: 2007
Balance Deficits due to Cerebellar Ataxia: A Machine Learning and Cloud-Based Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-08-2021
Fusion Based 3D Tracking of Mobile Transmitters via Robust Set-Valued State Estimation with RSS Measurements
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2011
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Dynamics of Anti-S IgG Antibodies Titers after the Second Dose of COVID-19 Vaccines in the Manual and Craft Worker Population of Qatar
Publisher: MDPI AG
Date: 21-02-2023
Abstract: There is limited seroepidemiological evidence on the magnitude and long-term durability of antibody titers of mRNA and non-mRNA vaccines in the Qatari population. This study was conducted to generate evidence on long-term anti-S IgG antibody titers and their dynamics in in iduals who have completed a primary COVID-19 vaccination schedule. A total of 300 male participants who received any of the following vaccines BNT162b2/Comirnaty, mRNA-1273, ChAdOx1-S/Covishield, COVID-19 Vaccine Janssen/Johnson, or BBIBP-CorV or Covaxin were enrolled in our study. All sera s les were tested by chemiluminescent microparticle immunoassay (CMIA) for the quantitative determination of IgG antibodies to SARS-CoV-2, receptor-binding domain (RBD) of the S1 subunit of the spike protein of SARS-CoV-2. Antibodies against SARS-CoV-2 nucleocapsid (SARS-CoV-2 N-protein IgG) were also determined. Kaplan–Meier survival curves were used to compare the time from the last dose of the primary vaccination schedule to the time by which anti-S IgG antibody titers fell into the lowest quartile (range of values collected) for the mRNA and non-mRNA vaccines. Participants vaccinated with mRNA vaccines had higher median anti-S IgG antibody titers. Participants vaccinated with the mRNA-1273 vaccine had the highest median anti-S-antibody level of 13,720.9 AU/mL (IQR 6426.5 to 30,185.6 AU/mL) followed by BNT162b2 (median, 7570.9 AU/mL IQR, 3757.9 to 16,577.4 AU/mL) while the median anti-S antibody titer for non-mRNA vaccinated participants was 3759.7 AU/mL (IQR, 2059.7–5693.5 AU/mL). The median time to reach the lowest quartile was 3.53 months (IQR, 2.2–4.5 months) and 7.63 months (IQR, 6.3–8.4 months) for the non-mRNA vaccine recipients and Pfizer vaccine recipients, respectively. However, more than 50% of the Moderna vaccine recipients did not reach the lowest quartile by the end of the follow-up period. This evidence on anti-S IgG antibody titers should be considered for informing decisions on the durability of the neutralizing activity and thus protection against infection after the full course of primary vaccination in in iduals receiving different type (mRNA verus non-mRNA) vaccines and those with natural infection.
Implications of private sector Hib vaccine coverage for the introduction of public sector Hib-containing pentavalent vaccine in India: evidence from retrospective time series data
Publisher: BMJ
Date: 23-02-2015
Knowlege on road information in sub-urban lane detection via multiple cue integration
Publisher: IEEE
Date: 11-2010
ε-bounded state estimation for time-delay systems with bounded disturbances
Publisher: Informa UK Limited
Date: 06-05-2014
Speed control and policing in a cellular mobile network: SpeedNet
Publisher: IEEE
Date: 2005
Robust Optical Flow with Combined Lucas-Kanade/Horn-Schunck and Automatic Neighborhood Selection
Publisher: IEEE
Date: 12-2006
Simultaneous estimation of optical flow and object state: A modified approach to optical flow calculation
Publisher: IEEE
Date: 2007
Blockchain for Edge of Things: Applications, Opportunities, and Challenges
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-01-2022
BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-07-2021
Optimality analysis of sensor-target localization geometries
Publisher: Elsevier BV
Date: 03-2010
Convergence of Object Focused Simultaneous Estimation of Optical Flow and State Dynamics
Publisher: SAGE Publications
Date: 10-2014
DOI: 10.5772/58698
Abstract: The purpose of this study is to prove the convergence of the simultaneous estimation of the optical flow and object state (SEOS) method. The SEOS method utilizes dynamic object parameter information when calculating optical flow in tracking a moving object within a video stream. Optical flow estimation for the SEOS method requires the minimization of an error function containing the object's physical parameter data. When this function is discretized, the Euler-Lagrange equations form a system of linear equations. The system is arranged such that its property matrix is positive definite symmetric, proving the convergence of the Gauss-Seidel iterative methods. The system of linear equations produced by SEOS can alternatively be resolved by Jacobi iterative schemes. The positive definite symmetric property is not sufficient for Jacobi convergence. The convergence of SEOS for a block diagonal Jacobi is proved by analysing the Euclidean norm of the Jacobi matrix. In this paper, we also investigate the use of SEOS for tracking in idual objects within a video sequence. The illustrations provided show the effectiveness of SEOS for localizing objects within a video sequence and generating optical flow results.
Describing human finger flexibility via reachable subspaces
Publisher: IEEE
Date: 07-2016
Reachable set bounding for nonlinear perturbed time-delay systems: The smallest bound
Publisher: Elsevier BV
Date: 05-2015
An adaptive orientation misalignment calibration method for shoulder movements using inertial sensors: A feasibility study
Publisher: IEEE
Date: 10-2015
A Kinematic Based Evaluation of Upper Extremity Movement Smoothness for Tele-Rehabilitation
Publisher: Springer International Publishing
Date: 2015
Position estimation and tracking of an autonomous mobile sensor using received signal strength
Publisher: IEEE
Date: 12-2008
A method for stereo-vision-based tracking for robotic applications
Publisher: Cambridge University Press (CUP)
Date: 09-06-2009
DOI: 10.1017/S0263574709005827
Abstract: Vision-based tracking of an object using perspective projection inherently results in non-linear measurement equations in the Cartesian coordinates. The underlying object kinematics can be modelled by a linear system. In this paper we introduce a measurement conversion technique that analytically transforms the non-linear measurement equations obtained from a stereo-vision system into a system of linear measurement equations. We then design a robust linear filter around the converted measurement system. The state estimation error of the proposed filter is bounded and we provide a rigorous theoretical analysis of this result. The performance of the robust filter developed in this paper is demonstrated via computer simulation and via practical experimentation using a robotic manipulator as a target. The proposed filter is shown to outperform the extended Kalman filter (EKF).
Quantitative Evaluation of Cerebellar Ataxia Through Automated Assessment of Upper Limb Movements
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2019
A machine-driven process for human limb length estimation using inertial sensors
Publisher: IEEE
Date: 12-2015
A New Distributed Power Control Formula In CDMA Mobile Networks
Publisher: IEEE
Date: 05-2008
Uplink Power Control via Adaptive Hidden-Markov-Model-Based Pathloss Estimation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2013
DOI: 10.1109/TMC.2012.39
Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Speed control and policing in a cellular mobile network: SpeedNet
Publisher: Elsevier BV
Date: 11-2006
Catastrophic impact of multimorbidity on households in India: a cross-section analysis of self-reported morbidity from National Sample Survey 2017
Publisher: Research Square Platform LLC
Date: 28-03-2022
DOI: 10.21203/RS.3.RS-1268361/V2
Abstract: Background : The purpose of this research is to generate new evidence on economic consequences of multimorbidity on households in terms of out-of-pocket (OOP) expenditures and its catastrophic impact. Methods : We analyzed Social Consumption Health data from National S le Survey Organization (NSSO) 75th round conducted in the year 2017-2018 in India. Prevalence of multimorbidity and related OOP expenditure were estimated. Using Coarsened Exact Matching (CEM) we estimated mean OOP expenditure for in iduals reporting multimorbidity and single morbidity for each episode of outpatient visits and hospital admission. We also estimated the catastrophic impact of multimorbidity on households. Results : Our matched s le analysis suggests that that OOP expenditure is invariably lower in case of outpatient treatment of the selected Non Communicable Diseases(NCDs) whereas in case of hospitalization, the OOP expenditures were mostly higher for the same NCD conditions in the presence of multimorbidity as compared with single conditions, except for cancers and cardiovascular disease. Furthermore, around 46.7% (46.674 - 46.676)households reported incurring catastrophic spending (10% threshold) because of any NCD in standalone disease scenario which rose to 63.3% (63.359-63.361) under multimorbidity scenario. The catastrophic impact of cancer among the in idual diseases was the highest. Conclusions : Implementing financial risk protection measures to reduce the burden of household OOP expenditure is required at the country level.
Systemic antibiotic sales and WHO recommendations, India
Publisher: WHO Press
Date: 10-2022
Visual Tracking of Vehicles using Multiresolution Analysis and Neural Network
Publisher: IEEE
Date: 12-2008
Quantifying the human finger reachable space
Publisher: IEEE
Date: 08-2016
Discrete inequalities based on multiple auxiliary functions and their applications to stability analysis of time-delay systems
Publisher: Elsevier BV
Date: 12-2015
Objective Assessment of Progression and Disease Characterization of Friedreich Ataxia via an Instrumented Drinking Cup: Preliminary Results
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Motion artefact separation in single channel Doppler radar respiration measurement
Publisher: IEEE
Date: 10-2015
Antibiotic prescriptions for Oral Diseases in India: Pattern and Practices
Publisher: Research Square Platform LLC
Date: 06-07-2022
DOI: 10.21203/RS.3.RS-1795808/V1
Abstract: Introduction: The key objective of this research was to describe the prescription rate of various antibiotics for dental problems in India and to study the relevance of the prescriptions by analysing antibiotic type associated with different dental diagnoses, using a large scale nationally representative dataset. Methods: We used a 12-month period (May 2015 to April 2016) medical audit dataset from IQVIA (formerly IMS Health). We coded the dental diagnosis provided in the medical audit data to International Statistical Classification of Diseases and Related Health Problems (ICD-11) and the prescribed antibiotics for the diagnosis to Anatomic Therapeutic Chemical (ATC) -2020 classification of World Health Organization. The primary outcome measure was the medicine prescription rate per 1,000 persons per year (PRPY 1000 ). Results: Our main findings were -- 403 prescriptions per 1,000 persons per year in the year 2015 -2016 for all dental ailments. Across all ATC level 1 classification, ‘Diseases of hard tissues’ made up the majority of the prescriptions. ‘Beta-lactam’, ‘Penicillin,’ and ‘Cephalosporins’ were the most commonly prescribed antibiotics for dental diagnoses followed by ‘Macrolides’ and ‘Quinolones’. ‘Dental caries’ , ‘Discoloration of tooth’, and ‘Toothache’ were the most common reasons for ‘Beta-Lactams’ and ‘Penicillin’ prescriptions. Conclusion: To conclude our study reports first ever country (India) level estimates of antibiotic prescription by antibiotic classes, age groups, and ICD-11 classification for dental ailments.
Problem of precision missile guidance: LQR and H//sup∞/ control frameworks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2003
Distributed Power Control in Cellular Mobile Radio Systems with Time-Varying Link Gains
Publisher: IEEE
Date: 10-2006
Smartwatch: Performance evaluation for long-term heart rate monitoring
Publisher: IEEE
Date: 10-2015
Emerging Landscape of the Pharmaceutical Management Education in India
Publisher: SAGE Publications
Date: 06-2012
DOI: 10.1177/097206341201400204
Abstract: Pharmaceutical management is a cross cutting domain across health care systems and the pharmaceutical industry. Also, higher education in pharmaceuticals lies at cross-roads between health and technical education. This has created enormous opportunities for developing synergistic and symbiotic relationships between academic institutions and the pharmaceutical industry for developing human resource trained in various domains of the pharmaceutical. However, there is limited information and data regarding educational institutions offering training in pharmaceuticals as well as supply of human resources trained in pharmaceuticals. This research article intends to fill the above mentioned research gap and stimulate discussion around various pertinent issues like regulation, accreditation and benchmarking of various educational programmes in pharmaceutical management.
Location Estimation and Trajectory Prediction for Cellular Networks With Mobile Base Stations
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2004
Improvement on delay dependent absolute stability of Lurie control systems with multiple time delays
Publisher: Elsevier BV
Date: 04-2010
Qualification of Wrist Functional Performance During Dart Thrower’s Movement
Publisher: IEEE
Date: 07-2018
Two Stage Architecture for Navigating Multiple Guided Weapons into a Widespread Target
Publisher: IEEE
Date: 03-2008
Robust observer design for uncertain one‐sided Lipschitz systems with disturbances
Publisher: Wiley
Date: 02-10-2217
DOI: 10.1002/RNC.3960
A Critical Analysis of Concentration and Competition in the Indian Pharmaceutical Market
Publisher: Public Library of Science (PLoS)
Date: 19-02-2016
A Robust Solution to the Stereo-Vision-Based Simultaneous Localization and Mapping Problem with Steady and Moving Landmarks
Publisher: Informa UK Limited
Date: 2011
Optimal sensor placement in range based localization for linear arrays
Publisher: IEEE
Date: 12-2012
Measurement and Assessment of Hand Functionality via a Cloud-Based Implementation
Publisher: Springer International Publishing
Date: 2015
Parkinsonian Axial Movement Capture using Wearable Sensors during the Pull Test
Publisher: IEEE
Date: 10-2017
A Non-Contact Measurement System for the Range of Motion of the Hand
Publisher: MDPI AG
Date: 28-07-2015
DOI: 10.3390/S150818315
Antibiotic use for typhoid in India: Estimation from private sector prescription data during 2013-15
Publisher: Cold Spring Harbor Laboratory
Date: 13-12-2021
DOI: 10.1101/2021.12.10.21267591
Abstract: India’s typhoid burden estimates are based on a limited number of population-based studies and data from a grossly incomplete disease surveillance system. In this study, we estimated the total and sex- and age-specific antibiotic prescription rates for typhoid. We used systematic antibiotic prescription by private sector primary care physicians in India. We categorized antibiotics using the WHO classification system and calculated the prescription for various classes of antibiotics. We analyzed 671 million prescriptions for the three-year period (2013-2015), of which an average of 8.98 million antibiotic prescriptions per year was for typhoid, accounting for 714 prescriptions per 100,000 population. Combination antibiotics are the preferred choice of prescribers in the adult age group, while cephalosporins are the preferred choice in children and young age. The prescription rate decreased from 792/100,000 in 2013 to 635 in 2015. We report a higher rate of antibiotic prescription for typhoid using prescription data, indicating a higher disease burden than previously estimated. Quinolones are still widely used in monotherapy, and children less than 10 years account for more than a million cases annually, which calls for a routine vaccination program. Typhoid is a major cause of morbidity in India especially among young adults and children. The reported incidences are based on data from limited number of population-based studies and the disease surveillance program which is largely limited to public healthcare system in India. The emergence of antibiotic resistance among typhoid is a growing concern. Age-specific typhoid antibiotic prescription estimate for India, using a large volume of geographically representative medical audit data. We report a high rate of antibiotic prescription (714/100,000 population) for typhoid indicating a higher disease burden than previously estimated. Fluroquinolones are still widely used as monotherapy for the treatment of typhoid in India.
Identification of cerebellar dysarthria with SISO characterisation
Publisher: IEEE
Date: 10-2018
Linear functional state bounding for perturbed time-delay systems and its application
Publisher: Oxford University Press (OUP)
Date: 18-11-2013
Community level antibiotic utilization in India and its comparison vis-à-vis European countries: Evidence from pharmaceutical sales data
Publisher: Public Library of Science (PLoS)
Date: 17-10-2018
Node localization using mobile robots in delay-tolerant sensor networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2005
DOI: 10.1109/TMC.2005.43
Ambulatory Energy Expenditure Evaluation for Treadmill Exercises
Publisher: Springer International Publishing
Date: 2015
Eigen decomposition solution to the one-dimensional time-dependent photon transport equation
Publisher: The Optical Society
Date: 02-2011
DOI: 10.1364/OE.19.002922
Antibiotics Prescriptions Pattern among Patients Visiting Primary Health Care Centers (PHCC) before and during COVID-19 Pandemic: A Cross-Sectional Population-Based Study from Qatar
Publisher: MDPI AG
Date: 25-07-2023
DOI: 10.3390/ANTIBIOTICS12081228
Abstract: Background: The COVID-19 pandemic, caused by the novel coronavirus 2 (SARS-CoV-2), has been associated with an increased risk of secondary bacterial infections. Numerous studies have reported a surge in antibiotic usage during the COVID-19 pandemic. This study aims to examine the impact of the COVID-19 pandemic on the frequency and patterns of antibiotic prescriptions at Primary Health Care Centers (PHCC) in Qatar, comparing the period before and during the pandemic. Methods: This population-based, cross-sectional study analyzed all antibiotic prescriptions issued in two-month intervals before COVID-19 (November and December 2019) and during the initial wave (June and July 2020) of COVID-19. The study included 27 PHCCs in Qatar. Results: Prior to the COVID-19 outbreak, the PHCCs dispensed a total of 74,909 antibiotic prescriptions in November and December. During the first wave of COVID-19, the number decreased to 29,273 prescriptions in June and July 2020. Antibiotics were most commonly prescribed for adults and least commonly for the elderly, both before and during the COVID-19 period. In the pre-COVID-19 period, Betalactams and macrolides accounted for the majority (73%) of all antibiotic prescriptions across all age groups. However, during the COVID-19 period, Betalactams and other antibiotics such as Nitrofurantoin and Metronidazole (73%) were the most frequently prescribed. Conclusion: The rate of antibiotic prescriptions during the first wave of COVID-19 was lower compared to the two months preceding the pandemic at the PHCC in Qatar.
Terminal approach navigation for autonomous robots in a sensory network
Publisher: IEEE
Date: 2005
Localization with ghost elimination of emitters via time-delay-of-arrival measurements
Publisher: IEEE
Date: 09-2012
Technical program committee (TPC)
Publisher: IEEE
Date: 12-2014
A cross-sectional survey of the models in Bihar and Tamil Nadu, India for pooled procurement of medicines
Publisher: Medknow
Date: 2015
Abstract: In India, access to medicine in the public sector is significantly affected by the efficiency of the drug procurement system and allied processes and policies. This study was conducted in two socioeconomically different states: Bihar and Tamil Nadu. Both have a pooled procurement system for drugs but follow different models. In Bihar, the volumes of medicines required are pooled at the state level and rate contracted (an open tender process invites bidders to quote for the lowest rate for the list of medicines), while actual invoicing and payment are done at district level. In Tamil Nadu, medicine quantities are also pooled at state level but payments are also processed at state level upon receipt of laboratory quality-assurance reports on the medicines. In this cross-sectional survey, a range of financial and non-financial data related to procurement and distribution of medicine, such as budget documents, annual reports, tender documents, details of orders issued, passbook details and policy and guidelines for procurement were analysed. In addition, a so-called ABC analysis of the procurement data was done to to identify high-value medicines. It was observed that Tamil Nadu had suppliers for 100% of the drugs on their procurement list at the end of the procurement processes in 2006, 2007 and 2008, whereas Bihar's procurement agency was only able to get suppliers for 56%, 59% and 38% of drugs during the same period. Further, it was observed that Bihar's system was fuelling irrational procurement for ex le, fluconazole (antifungal) alone was consuming 23.4% of the state's drug budget and was being procured by around 34% of the districts during 2008-2009. Also, the ratios of procurement prices for Bihar compared with Tamil Nadu were in the range of 1.01 to 22.50. For 50% of the analysed drugs, the price ratio was more than 2, that is, Bihar's procurement system was procuring the same medicines at more than twice the prices paid by Tamil Nadu. Centralized, automated pooled procurement models like that of Tamil Nadu are key to achieving the best procurement prices and highest possible access to medicines.
Pediatricians′ perspectives on pneumococcal conjugate vaccines: An exploratory study in the private sector
Publisher: Medknow
Date: 2015
Preliminary investigation of energy comparation between gyroscope, electromyography and VO<inf>2</inf> wearable sensors
Publisher: IEEE
Date: 08-2016
Multimorbidity, healthcare use and catastrophic health expenditure by households in India: a cross-section analysis of self-reported morbidity from national sample survey data 2017–18
Publisher: Springer Science and Business Media LLC
Date: 12-09-2022
DOI: 10.1186/S12913-022-08509-X
Abstract: The purpose of this research is to generate new evidence on the economic consequences of multimorbidity on households in terms of out-of-pocket (OOP) expenditures and their implications for catastrophic OOP expenditure. We analyzed Social Consumption Health data from National S le Survey Organization (NSSO) 75th round conducted in the year 2017–2018 in India. The s le included 1,13,823 households (64,552 rural and 49,271 urban) through a multistage stratified random s ling process. Prevalence of multimorbidity and related OOP expenditure were estimated. Using Coarsened Exact Matching (CEM) we estimated the mean OOP expenditure for in iduals reporting multimorbidity and single morbidity for each episode of outpatient visits and hospital admission. We also estimated implications in terms of catastrophic OOP expenditure for households. Results suggest that outpatient OOP expenditure is invariably lower in the presence of multimorbidity as compared with single conditions of the selected Non-Communicable Diseases(NCDs) (overall, INR 720 [USD 11.3] for multimorbidity vs. INR 880 [USD 14.8] for single). In the case of hospitalization, the OOP expenditures were mostly higher for the same NCD conditions in the presence of multimorbidity as compared with single conditions, except for cancers and cardiovascular diseases. For cancers and cardiovascular, OOP expenditures in the presence of multimorbidity were lower by 39% and 14% respectively). Furthermore, around 46.7% (46.674—46.676) households reported incurring catastrophic spending (10% threshold) because of any NCD in the standalone disease scenario which rose to 63.3% (63.359–63.361) under the multimorbidity scenario. The catastrophic implications of cancer among in idual diseases was the highest. Multimorbidity leads to high and catastrophic OOP payments by households and treatment of high expenditure diseases like cancers and cardiovascular are under-financed by households in the presence of competing multimorbidity conditions. Multimorbidity should be considered as an integrated treatment strategy under the existing financial risk protection measures ( Ayushman Bharat ) to reduce the burden of household OOP expenditure at the country level.
Motion trajectory analysis for evaluating the performance of functional upper extremity tasks in daily living: a pilot study
Publisher: IEEE
Date: 08-2015
Optimization-based formation of autonomous mobile robots
Publisher: Cambridge University Press (CUP)
Date: 05-08-2010
DOI: 10.1017/S0263574710000366
Abstract: The formation of autonomous mobile robots to an arbitrary geometric pattern in a distributed fashion is a fundamental problem in formation control. This paper presents a new asynchronous, memoryless (oblivious) algorithm to the formation problem via distributed optimization techniques. The optimization minimizes an appropriately defined difference function between the current robot distribution and the target geometric pattern. The optimization processes are performed independently by in idual robots in their local coordinate systems. A movement strategy derived from the results of the distributed optimizations guarantees that every movement makes the current robot configuration approaches the target geometric pattern until the final pattern is reached.
Real-time measurement of radiocarpal joint angle during dart-thrower's movement
Publisher: IEEE
Date: 11-2016
Pediatrician's Perspective On Pneumococcal Conjugate Vaccines In India: An Exploratory Study
Publisher: Elsevier BV
Date: 11-2014
Entropy‐based method to quantify limb length discrepancy using inertial sensors
Publisher: Institution of Engineering and Technology (IET)
Date: 02-2018
BioKin based system for capturing golf swing data
Publisher: IEEE
Date: 12-2016
Robust Real-Time Bio-Kinematic Movement Tracking Using Multiple Kinects for Tele-Rehabilitation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2016
Stability Analysis of Nonlinear Time-Delay Systems Using a Novel Piecewise Positive Systems Method
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Radar Target Tracking via Robust Linear Filtering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2007
Quantitative Assessment of Friedreich Ataxia via Self-Drinking Activity
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
A discussion on passive location discovery in emitter networks using angle-only measurements
Publisher: ACM
Date: 03-07-2006
Artificial Formation Forces for Stable Aggregation of Multi-Agent System
Publisher: IEEE
Date: 12-2006
Antibiotic prescriptions for oral diseases in India: evidence from national prescription data
Publisher: Springer Science and Business Media LLC
Date: 25-03-2023
DOI: 10.1186/S12903-023-02889-0
Abstract: The key objective of this research was to describe the prescription rate of various antibiotics for dental problems in India and to study the relevance of the prescriptions by analysing antibiotic types associated with different dental diagnoses, using a large-scale nationally representative dataset. We used a 12-month period (May 2015 to April 2016) medical audit dataset from IQVIA (formerly IMS Health). We coded the dental diagnosis provided in the medical audit data to the International Statistical Classification of Diseases and Related Health Problems (ICD-11) and the prescribed antibiotics for the diagnosis to the Anatomic Therapeutic Chemical (ATC) -2020 classification of the World Health Organization. The primary outcome measure was the medicine prescription rate per 1,000 persons per year (PRPY 1000 ). Our main findings were—403 prescriptions per 1,000 persons per year in the year 2015 -2016 for all dental ailments. Across all ATC level 1 classification, ‘Diseases of hard tissues’ made up the majority of the prescriptions. ‘Beta-lactam’, ‘Penicillin,’ and ‘Cephalosporins’ were the most commonly prescribed antibiotics for dental diagnoses followed by ‘Macrolides’ and ‘Quinolones’. ‘Dental caries’, ‘Discoloration of tooth’, and ‘Toothache’ were the most common reasons for ‘Beta-Lactams’ and ‘Penicillin’ prescriptions. To conclude our study reports first ever country (India) level estimates of antibiotic prescription by antibiotic classes, age groups, and ICD-11 classification for dental ailments.
On the Effect of Path Loss Rates on the Optimal Receiver Position in Sensor Networks
Publisher: IEEE
Date: 12-2006
The Impact of COVID-19 on the HIV Cascade of Care in Botswana – An Interrupted Time Series
Publisher: Elsevier BV
Date: 2023
DOI: 10.2139/SSRN.4505336
Application of growing self-organizing map to distinguish between finger tapping and non tapping from brain images
Publisher: IEEE
Date: 09-2012
Out-of-pocket expenditure on childhood infections and its financial burden on Indian households: Evidence from nationally representative household survey (2017–18)
Publisher: Public Library of Science (PLoS)
Date: 27-12-2022
DOI: 10.1371/JOURNAL.PONE.0278025
Abstract: The key objective of this research was to estimate out of pocket expenditure (OOPE) incurred by the Indian households for the treatment of childhood infections. We estimated OOPE estimates on outpatient care and hospitalization by disease conditions and type of health facilities. In addition, we also estimated OOPE as a share of households’ total consumption expenditure (TCE) by MPCE quintile groups to assess the quantum of the financial burden on the households. We analyzed the Social Consumption: Health (SCH) data from National S le Survey Organization (NSSO) 75th round (2017–18). Outcome indicators were prevalence of selected infectious diseases in children aged less than 5 years, per episode of OOPE on outpatient care in the preceding 15 days, hospitalization in the preceding year and OOPE as a share of households’ total consumption expenditure. Our analysis suggests that the most common childhood infection was ‘fever with rash’ followed by ‘acute upper respiratory infection’ and ‘acute meningitis’. However, the highest OOPE for outpatient care and hospitalization was reported for ‘viral hepatitis’ and ‘tuberculosis’ episodes. Among the households reporting childhood infections, OOPE was 4.8% and 6.7% of households’ total consumption expenditure (TCE) for outpatient care and hospitalization, respectively. Furthermore, OOPE as a share of TCE was disproportionately higher for the poorest MPCE quintiles (outpatient, 7.9% hospitalization, 8.2%) in comparison to the richest MPCE quintiles (outpatient, 4.8% hospitalization, 6.7%). This treatment and care-related OOPE has equity implications for Indian households as the poorest households bear a disproportionately higher burden of OOPE as a share of TCE. Ensuring financial risk protection and universal access to care for childhood illnesses is critical to addressing inequity in care.
Cervical cancer control in India: Taking evidence to action
Publisher: Springer Science and Business Media LLC
Date: 05-2012
DOI: 10.1057/JPHP.2012.7
Abstract: The most prevalent types of human papillomavirus in cervical cancer in India are HPV 16 and HPV 18, found in 60.7 per cent and 16 per cent of cases respectively. A comprehensive strategy with a judicious mix of interventions on health promotion, specific protection (vaccination), early diagnosis (screening), and treatment should be instituted to prevent and control cervical cancer in India. Proponents of vaccination and screening argue for enhanced investments on these interventions based on their relative cost-effectiveness. For policymakers, the major concerns about these interventions remain affordability and cost to government. Herein we try to review comprehensively the evidence on prevention and control interventions and to recommend appropriate policies to guide public health decision-making.
Swarm intelligence for next-generation networks: Recent advances and applications
Publisher: Elsevier BV
Date: 10-2021
Malaria control in India: has sub-optimal rationing of effective interventions compromised programme efficiency?
Publisher: Medknow
Date: 2012
Emerging need for health policy teaching in India
Publisher: Medknow
Date: 2012
Minimization of State Bounding for Perturbed Positive Systems with Delays
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2018
DOI: 10.1137/16M1104846
Quantification of Axial Abnormality Due to Cerebellar Ataxia with Inertial Measurements
Publisher: MDPI AG
Date: 24-08-2018
DOI: 10.3390/S18092791
Abstract: Cerebellar Ataxia (CA) leads to deficiencies in muscle movement and lack of coordination that is often manifested as gait and balance disabilities. Conventional CA clinical assessments are subjective, cumbersome and provide less insight into the functional capabilities of patients. This cross-sectional study investigates the use of wearable inertial sensors strategically positioned on the front-chest and upper-back locations during the Romberg and Trunk tests for objective assessment of human postural balance due to CA. The primary aim of this paper is to quantify the performance of postural stability of 34 patients diagnosed with CA and 22 healthy subjects as controls. Several forms of entropy descriptions were considered to uncover characteristics of movements intrinsic to CA. Indeed, correlation with clinical observation is vital in ascertaining the validity of the inertial measurements in addition to capturing unique features of movements not typically observed by the practicing clinician. Both of these aspects form an integral part of the underlying objective assessment scheme. Uncertainty in the velocity contained a significant level of information with respect to truncal instability and, based on an extensive clustering and discrimination analysis, fuzzy entropy was identified as an effective measure in characterising the underlying disability. Front-chest measurements demonstrated a strong correlation with clinical assessments while the upper-back measurements performed better in classifying the two cohorts, inferring that the standard clinical assessments are relatively influenced by the frontal observations. The Romberg test was confirmed to be an effective test of neurological diagnosis as well as a potential candidate for objective assessment resulting in a significant correlation with the clinical assessments. In contrast, the Trunk test is observed to be relatively less informative.
Convergence within a polyhedron: controller design for time‐delay systems with bounded disturbances
Publisher: Institution of Engineering and Technology (IET)
Date: 04-2015
TDOA based transmitter localization with minimum number of receivers and power measurements
Publisher: IEEE
Date: 12-2008
Quantitative Assessment of Syllabic Timing Deficits in Ataxic Dysarthria
Publisher: IEEE
Date: 07-2018
Remote Monitoring System Enabling Cloud Technology upon Smart Phones and Inertial Sensors for Human Kinematics
Publisher: IEEE
Date: 12-2014
Detection of respiratory paradoxical movement via Doppler radar measurements
Publisher: IEEE
Date: 12-2014
Optimal Trajectory Characterization for a Pursuer Navigation Scheme
Publisher: IEEE
Date: 04-2008
Changing Landscape of Health Care in India
Publisher: SAGE Publications
Date: 12-2013
Abstract: The Indian health care sector will double its size to US$ 100 billion by 2015 from the present US$ 50 billion. However, the government’s contribution on health care is minimal whereas Indian households spend a disproportionate share of their consumption expenditure on health care. The National Rural Health Mission (NRHM) intends to increase the public expenditure on health from 1.1 per cent of GDP to 2–3 per cent of GDP by 2011. This increased funding through the NRHM should be supplemented by efforts to improve efficiency in resource utilization. Health economics is increasingly recognized as a discipline that has much to offer in addressing these issues. However, the information about capacity building initiatives in terms of teaching and training in the field of health economics in India is limited. This article attempts to address this knowledge gap through a systematic research by identifying various institutions offering courses in health economics across India, their intake capacity, areas of specialization and accreditation standards. The article also attempts to estimate the demand for professionals having expertise in health economics and intends to stimulate the discussion around pertinent issues around need and demand mismatch.
An adaptive complementary filter for inertial sensor based data fusion to track upper body motion
Publisher: IEEE
Date: 12-2014
Human Gender Recognition with Upper Body Gait Kinematics
Publisher: ACM
Date: 08-12-2017
Facilitating communication and computer use with EEG devices for non-vocal quadriplegics
Publisher: IEEE
Date: 12-2014
Passive Angle Measurement Based LocalizationConsistency via Geometric Constraints
Publisher: IEEE
Date: 02-2007
Estimates on state-specific Pneumococcal Conjugate Vaccines (PCV) coverage in the private sector in the year 2012: Evidence from PCV utilization data
Publisher: Medknow
Date: 2016
Partial state bounding with a pre‐specified time of non‐linear discrete systems with time‐varying delays
Publisher: Institution of Engineering and Technology (IET)
Date: 08-2016
Robust observer and observer-based control designs for discrete one-sided Lipschitz systems subject to uncertainties and disturbances
Publisher: Elsevier BV
Date: 07-2019
Robust and Accurate Capture of Human Joint Pose Using an Inertial Sensor
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Quantitative assessment of cerebella ataxia through automated upper limb functional tests
Publisher: SPIE
Date: 17-04-2019
DOI: 10.1117/12.2520693
Tracking multiple mobile agents with single frequency Continuous Wave radar
Publisher: IEEE
Date: 12-2009
Localization with ghost elimination of emitters via time-of-arrival measurements
Publisher: IEEE
Date: 12-2012
Stability of positive coupled differential-difference equations with unbounded time-varying delays
Publisher: Elsevier BV
Date: 06-2018
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