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Journal articles on the topic 'Data coverage analysis'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Bissengaliyeva, А. М., A. U. Issembayeva, T. K. Dushayeva, N. M. Almabayeva, and G. O. Ilyassova. "KEYWORD COVERAGE USING SEMANTIC DATA ANALYSIS." SERIES PHYSICO-MATHEMATICAL 2, no. 350 (2024): 108–19. http://dx.doi.org/10.32014/2024.2518-1726.270.

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HUSSAIN, SAJID, and MD ASHIQUR RAHMAN. "ENERGY EFFICIENT DATA DISSEMINATION FOR UNIFORM COVERAGE IN WIRELESS SENSOR NETWORKS." Journal of Interconnection Networks 08, no. 04 (2007): 355–67. http://dx.doi.org/10.1142/s0219265907002077.

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Wireless sensor networks (WSNs) are commonly used for continuous monitoring applications. However, due to remote and inaccessible WSN deployments, the batteries cannot be easily replaced. As a result, the quality of sensor monitoring changes with respect to time. We investigate the rate of change in coverage as sensor nodes are depleted of their energy resources. In this paper, we propose a coverage analysis method which not only focuses on the coverage itself but also on its uniformity and efficiency. The paper documents interesting network coverage evaluation studies showing several ways of

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Patel, Deepika, Dr Pramod S. Nair, and Mr Rudresh Shah. "Privacy Preserving Sensitive Data Coverage: Design and Analysis." IJIREEICE 5, no. 3 (2017): 147–51. http://dx.doi.org/10.17148/ijireeice.2017.5334.

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Delen, Dursun, Christie Fuller, Charles McCann, and Deepa Ray. "Analysis of healthcare coverage: A data mining approach." Expert Systems with Applications 36, no. 2 (2009): 995–1003. http://dx.doi.org/10.1016/j.eswa.2007.10.041.

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Lu, W. J., Q. Xu, C. Z. Lan, et al. "DATA-DRIVEN REAL-TIME ANALYSIS SERVICE FOR SATELLITE AREA COVERAGE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 8, 2020): 769–74. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-769-2020.

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Abstract. Satellite area coverage analysis is complex, especially when the satellite operating state changes. Traditional algorithms cannot quickly and efficiently obtain the satellite area coverage analysis results, and are incapable of providing efficient online services. To overcome these shortcomings and meet the needs of 21st century geospatial science and applications for real-time response and online services for handling high concurrent requests, a data-driven real-time analysis service for satellite area coverage is proposed. Firstly, to optimize traditional algorithms, an extended bo

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Fakhouri, Ayman, Faouzi Adjed, Martin Gonzalez, and Martin Royer. "ML Model Coverage Assessment by Topological Data Analysis Exploration." Proceedings of the AAAI Symposium Series 4, no. 1 (2024): 32–39. http://dx.doi.org/10.1609/aaaiss.v4i1.31768.

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The increasing complexity of deep learning models necessitates advanced methods for model coverage assessment, a critical factor for their reliable deployment. In this study, we introduce a novel approach leveraging topological data analysis to evaluate the coverage of a couple dataset & classification model. By using tools from topological data analysis, our method identifies underrepresented regions within the data, thereby enhancing the understanding of both model performances and data completeness. This approach simultaneously evaluates the dataset and the model, highlighting areas of

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Moon, Jangwon, Joong-Hoon Kim, and Chulsang Yoo. "Storm-coverage effect on dynamic flood-frequency analysis: empirical data analysis." Hydrological Processes 18, no. 1 (2004): 159–78. http://dx.doi.org/10.1002/hyp.1303.

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Vipindeep, V., and Pankaj Jalote. "Efficient static analysis with path pruning using coverage data." ACM SIGSOFT Software Engineering Notes 30, no. 4 (2005): 1–6. http://dx.doi.org/10.1145/1082983.1083257.

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Huang, Xinyuan, Xiaoming Gao, Sida Ouyang, and Zhengbo Fu. "Image Data Stream Organization and Online Analysis Application Based on Data Cube Technology." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1-2024 (May 10, 2024): 271–76. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-2024-271-2024.

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Abstract. This study aims to explore the important role of data-like cube structures in modern remote sensing data processing and data analysis through ArcPy and Python multiprocessing techniques. A multi-scale spatial data cube is innovatively developed to improve the efficiency of remote sensing data management and optimize data analysis. The core of this study is to define and implement grid cells of different sizes that form the basis of data cube, and to quantify the efficient coverage of specific areas using Python multiprocessing techniques. Experiments were conducted in Hainan Province

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Torres-Salinas, Daniel, Alberto Martín-Martín, and Enrique Fuente-Gutiérrez. "Analysis of the coverage of the Data Citation Index – Thomson Reuters: disciplines, document types and repositories." Revista española de Documentación Científica 37, no. 1 (2014): e036. http://dx.doi.org/10.3989/redc.2014.1.1114.

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Gao, Zhiming, Zhenhong Lin, Stacy Cagle Davis, and Alicia K. Birky. "Quantitative Evaluation of MD/HD Vehicle Electrification using Statistical Data." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 24 (2018): 109–21. http://dx.doi.org/10.1177/0361198118792329.

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This paper presents a wide-ranging analysis of Class 3-8 commercial vehicle electrification by means of developing a framework tool which uses a quantitative method of estimating electric vehicle energy consumption and appropriate charging considerations. The Fleet DNA composite statistics on real-world driving behavior is used to evaluate feasible or market-ready battery electric vehicle (BEV) technologies in medium- and heavy-duty (MD/HD) applications. In the paper, ten representative Class 3-8 commercial vehicle electrifications have been evaluated as a function of various service coverages

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Andeer, Robin, Måns Magnusson, Anna Wedell, and Henrik Stranneheim. "Chanjo: Clincal grade sequence coverage analysis." F1000Research 9 (June 16, 2020): 615. http://dx.doi.org/10.12688/f1000research.23605.1.

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Coverage analysis is essential when analysing massive parallel sequencing (MPS) data. The analysis indicates existence of false negatives or positives in a region of interest or poorly covered genomic regions. There are several tools that have excellent performance when doing coverage analysis on a few samples with predefined regions. However, there is no current tool for collecting samples over a longer period of time for aggregated coverage analysis of multiple samples or sequencing methods. Furthermore, current coverage analysis tools do not generate customized coverage reports or enable ex

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Ban, Tae Won, and Bang Chul Jung. "Coverage Analysis of WCDMA-based Femto Cells for Data Offloading." Journal of the Korean Institute of Information and Communication Engineering 17, no. 3 (2013): 556–60. http://dx.doi.org/10.6109/jkiice.2013.17.3.556.

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Speth, Thomas, Raphael Riebl, Thomas Brandmeier, Christian Facchi, Ulrich Jumar, and Ali H. Al-Bayatti. "VANET Coverage Analysis for GPS Augmentation Data in Rural Area." IFAC-PapersOnLine 49, no. 30 (2016): 245–50. http://dx.doi.org/10.1016/j.ifacol.2016.11.112.

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Özdemir Özdoğan, Gülistan, and Hilal Kaya. "Next-Generation Sequencing Data Analysis on Pool-Seq and Low-Coverage Retinoblastoma Data." Interdisciplinary Sciences: Computational Life Sciences 12, no. 3 (2020): 302–10. http://dx.doi.org/10.1007/s12539-020-00374-8.

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Bera, Sujata, and Adwaita Maiti. "Sanitation Coverage and Open Defecation Rate in Indian States: A Pooled Data Analysis." Vidyasagar University Journal of Economics XXVIII, no. 00 (2024): 291–301. https://doi.org/10.62424/vuje.2024.28.00.19.

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To fulfil the sanitation needs of the people, Government of India has implemented the several sanitation programmes during its planning period. Still there is a nearly 30 percent household having no sanitation /latrine facilities (National Family Health Survey-5, 2019-21). The enormous negative externalities of lack of sanitation facilities motivate us to measure sanitation situation across states in India and identify the factors that affect the sanitation coverage. Sanitation status across states has been measured in terms of changing sanitation coverage during the period 1998-99 to 2019-202

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Matin, Hamidullah, Khwaja Mir Islam Saeed, Mir Salamuddin Hakim, and Shoaib Naeemi. "COVID-19 Vaccines Coverage in Afghanistan: a descriptive analysis of secondary data from DHIS2." Razi International Medical Journal 3, no. 2 (2023): 62–69. http://dx.doi.org/10.56101/rimj.v3i2.95.

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Background: Mass immunization is an economical and effective way to control the pandemic of COVID-19. Afghanistan started its first COVID-19 vaccination campaign at the national level in February 2021. Upon initiation, 10 target groups have been given priority to get vaccinated. This study focuses on a descriptive analysis of COVID-19 vaccination coverage at the national level. Methods: This is a descriptive secondary data analysis of COVID-19 vaccination coverage from all 34 provinces of Afghanistan from February 2021 to June 2022. All data analyzed in this study were extracted from the Distr

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Sullivan, Kristin M., Emma M. Harding-Esch, Alexander P. Keil, et al. "Exploring water, sanitation, and hygiene coverage targets for reaching and sustaining trachoma elimination: G-computation analysis." PLOS Neglected Tropical Diseases 17, no. 2 (2023): e0011103. http://dx.doi.org/10.1371/journal.pntd.0011103.

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Background Trachoma is the leading infectious cause of blindness. To reduce transmission, water, sanitation, and hygiene (WaSH) improvements are promoted through a comprehensive public health strategy. Evidence supporting the role of WaSH in trachoma elimination is mixed and it remains unknown what WaSH coverages are needed to effectively reduce transmission. Methods/Findings We used g-computation to estimate the impact on the prevalence of trachomatous inflammation—follicular among children aged 1–9 years (TF1-9) when hypothetical WaSH interventions raised the minimum coverages from 5% to 100

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Korytska, Olha, and Anna Kursanova. "WORLD BANK OPEN DATA: A COMPARATIVE ANALYSIS OF MULTI-DATABASE COVERAGE." Economic scope, no. 198 (March 10, 2025): 53–62. https://doi.org/10.30838/ep.198.53-62.

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This study analyzes data coverage in five World Bank databases (World Development Indicators, Doing Business, Gender Statistics, Statistical Capacity Indicators, and Millennium Development Goals) across seven countries: Australia, Burundi, Haiti, Spain, Mexico, Turkmenistan, and Ukraine. The study employs statistical variation metrics to evaluate data completeness and identify information gaps. The analysis reveals significant data coverage heterogeneity, particularly in databases with over 200 indicators spanning more than 20 years. The findings indicate that the presence of indicators does n

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Campalani, P., A. Beccati, S. Mantovani, and P. Baumann. "TEMPORAL ANALYSIS OF ATMOSPHERIC DATA USING OPEN STANDARDS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4 (April 23, 2014): 21–27. http://dx.doi.org/10.5194/isprsannals-ii-4-21-2014.

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The continuous growth of remotely sensed data raises the need for efficient ways of accessing data archives. The classical model of accessing remote sensing (satellite) archives via distribution of large files is increasingly making way for a more dynamic and interactive data service. A challenge, though, is interoperability of such services, in particular when multi-dimensional data and advanced processing are involved. Individually crafted service interfaces typically do not allow substitution and combination of services. Open standards can provide a way forward if they are powerful enough t

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Keinerugaba, Nicholas, Felix Wamono, Symon Wandiembe, and Anselm O. Oyem. "Analysis of Access to Health Insurance Coverage in Uganda: A Secondary Data Analysis." Financial Engineering 3 (January 16, 2025): 101–16. https://doi.org/10.37394/232032.2025.3.10.

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The association and relationship between socio-demographic, media and economic factors affecting the access to health insurance coverage in Uganda was considered. The obtained data and analysis went through data cleaning, manipulation, coding and statistical analysis using the SATA 15, sample survey weighted results, univariate analysis for mean, standard errors and confidence intervals, and Scot-Rao Adjusted Chi-square tests for bivariate analysis and complementary log-log regression model to examine the relationship of various study variables on access to health insurance. The study findings

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Maugeri, Andrea, Martina Barchitta, Giorgia Cappuccio, Giuliana Favara, Roberta Magnano San Lio, and Antonella Agodi. "Trends of Diphtheria–Tetanus–Pertussis and Measles Vaccine Coverage Preceding and during the COVID-19 Pandemic: An Analysis of the WHO European Region from 2000 to 2022." Vaccines 12, no. 10 (2024): 1145. http://dx.doi.org/10.3390/vaccines12101145.

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Available data highlights the significant impact of the COVID-19 pandemic on global vaccination trends. Despite this, comprehensive evaluations of these changes at the European level are still scarce. This study examines coverage for diphtheria, tetanus, and pertussis (DTP) and measles-containing vaccines (MCV) in the WHO European Region from 2000 to 2022. Vaccination coverage data, defined as the percentage of surviving infants who received the first and third doses of DTP (DTP1 and DTP3) and the first and second doses of MCV (MCV1 and MCV2), were extracted from UNICEF databases. Joinpoint re

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Resky, Nurhayati, Nilawati Uly, Ishaq Iskandar, and Zamli Zamli. "Analysis Of Universal Health Coverage (UHC) Coverage In Tana Toraja Regency." Jurnal Kesehatan Mahardika 11, no. 2 (2024): 124–31. https://doi.org/10.54867/jkm.v11i2.223.

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Universal Health Coverage (UHC) is a type of health insurance in Indonesia that is managed by an official institution receiving direct orders from the President, known as the Health Social Security Administration Agency. Tana Toraja Regency is one of the areas where this program is implemented, providing health coverage to those without insurance. The goal of the study is to analyze the UHC program's implementation by the Tana Toraja Regency Government. The study used qualitative research methods, collected data through interviews, and conducted the research within Tana Toraja Regency. Accordi

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Søe, Julie Bjørner. "Implicit Prioritization of Life Insurance Coverage: A Study of Policyholder Preferences in a Danish Pension Company." Risks 13, no. 6 (2025): 103. https://doi.org/10.3390/risks13060103.

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This study evaluates the utility derived by policyholders in a Danish pension company, from their life insurance coverages. We quantify the relative importance policyholders assign to their existing coverages versus a hypothetical complete coverage scenario, thereby measuring the implicit priority of their current coverage. By analyzing these implicit priorities based on individual attributes such as age, financial situation, and company agreement limitations, we gain a comprehensive understanding of policyholders’ evaluations of their current life insurance coverage. Utilizing a continuous-ti

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Tumin, Dmitry, Valentina Marginean, Jessica Eubanks, and Uduak S. Akpan. "Infants’ Non-Enrollment in Medicaid after Medicaid-Financed Birth: an Analysis of Pregnancy Risk Assessment Monitoring System (PRAMS) Data." Journal of Health Care for the Poor and Underserved 35, no. 4 (2024): 1273–83. http://dx.doi.org/10.1353/hpu.2024.a943989.

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Abstract: Objectives. To characterize the proportion of Medicaid-eligible infants experiencing gaps in Medicaid coverage during early infancy and to determine whether infants without Medicaid coverage were covered by other plans or not at all. Study design. Infants with Medicaid-financed births from three states participating in the 2016–2020 Pregnancy Risk Assessment Monitoring System (PRAMS) were included (N=3,658). Infant insurance coverage (Medicaid, non-Medicaid, none) was assessed at the time of the PRAMS survey, typically around four months of age. Results. Fifteen percent of infants ha

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Aliyu, Usman, Umar Usman, Abubakar Bashar, and Daha Faruk. "Performance Assessment of Some Count Data Models to Immunization Coverage Data." International Journal of Statistical Distributions and Applications 10, no. 4 (2024): 89–100. https://doi.org/10.11648/j.ijsd.20241004.12.

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This research evaluates the performance of various count data models, including Poisson Regression (PR), Zero-Inflated Poisson Regression (ZIP), Zero-Truncated Poisson Regression (ZTP), Truncated Negative Binomial Poisson Regression (TNBP), and Negative Binomial Poisson Regression (NBP), using immunization coverage data from the National Primary Health Care Development Agency (NPHCDA). The study focuses on children under 12 months, assessing model fit using Likelihood Ratio (LR), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC) criteria. Analysis conducted with STAT

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Jaung, Wanggi, and L. Roman Carrasco. "A big-data analysis of human-nature relations in newspaper coverage." Geoforum 128 (January 2022): 11–20. http://dx.doi.org/10.1016/j.geoforum.2021.11.017.

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Jacoby, Edgar, Gary Tresadern, Scott Bembenek, et al. "Extending kinome coverage by analysis of kinase inhibitor broad profiling data." Drug Discovery Today 20, no. 6 (2015): 652–58. http://dx.doi.org/10.1016/j.drudis.2015.01.002.

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Porębski, Sebastian, and Tomasz Stokowy. "eXNVerify: coverage analysis for long and short-read sequencing data in clinical context." F1000Research 11 (June 13, 2022): 645. http://dx.doi.org/10.12688/f1000research.121775.1.

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Accurate identification of genetic variants to a large extent is based on the type of experimental technology, quality of the material and coverage of sequencing data obtained. The latter, coverage quality, highly influences variant calling accuracy and final diagnosis. Our motivation was to create a tool that will evaluate genome coverage and accelerate the introduction of long-read sequencing to medical diagnostics and clinical practice. The implementation was guided by the ease of use of the tool by users who are not proficient in using complex software. A Docker container is perfect for th

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Mohanty, Sanjay K., Ashish Kumar Upadhyay, Suraj Maiti, et al. "Public health insurance coverage in India before and after PM-JAY: repeated cross-sectional analysis of nationally representative survey data." BMJ Global Health 8, no. 8 (2023): e012725. http://dx.doi.org/10.1136/bmjgh-2023-012725.

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IntroductionThe provision of non-contributory public health insurance (NPHI) to marginalised populations is a critical step along the path to universal health coverage. We aimed to assess the extent to which Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana (PM-JAY)—potentially, the world’s largest NPHI programme—has succeeded in raising health insurance coverage of the poorest two-fifths of the population of India.MethodsWe used nationally representative data from the National Family Health Survey on 633 699 and 601 509 households in 2015–2016 (pre-PM-JAY) and 2019–2021 (mostly, post PM-JAY),

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Rossanese, Marco, Andres Garcia-Saavedra, Andra Elena Lutu, and Xavier Costa Perez. "Data-driven Analysis of the Cost-Performance Trade-off of Reconfigurable Intelligent Surfaces in a Production Network." Proceedings of the ACM on Networking 1, CoNEXT3 (2023): 1–20. http://dx.doi.org/10.1145/3629134.

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This paper presents a comprehensive study on the deployment of Reconfigurable Intelligent Surfaces (RIS) in urban environments with poor radio coverage. We focus on the city of London, a large metropolis where radio network planning presents unique challenges due to diverse geographical and structural features. Using crowd-sourced datasets, we analyze the Reference Signal Received Power (RSRP) from end-user devices to understand the existing radio coverage landscape of a major Mobile Network Operator (MNO). Our study identifies areas with poor coverage and proposes the deployment of RIS to enh

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Yang, Lily, Marie-Claude Boily, Minttu M. Rönn, et al. "Regional and country-level trends in cervical cancer screening coverage in sub-Saharan Africa: A systematic analysis of population-based surveys (2000–2020)." PLOS Medicine 20, no. 1 (2023): e1004143. http://dx.doi.org/10.1371/journal.pmed.1004143.

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Background Sub-Saharan Africa (SSA) has the highest cervical cancer (CC) burden globally—worsened by its HIV epidemics. In 2020, the World Health Organization (WHO) introduced a CC elimination strategy with goals for vaccination, screening, and treatment. To benchmark progress, we examined temporal trends in screening coverage, percent screened at least twice by the age of 45, screening coverage among women living with HIV (WLHIV), and pre-cancer treatment coverage in SSA. Methods and findings We conducted a systematic analysis of cross-sectional population-based surveys. It included 52 survey

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Myers, Matthew A., Simone Zaccaria, and Benjamin J. Raphael. "Identifying tumor clones in sparse single-cell mutation data." Bioinformatics 36, Supplement_1 (2020): i186—i193. http://dx.doi.org/10.1093/bioinformatics/btaa449.

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Abstract Motivation Recent single-cell DNA sequencing technologies enable whole-genome sequencing of hundreds to thousands of individual cells. However, these technologies have ultra-low sequencing coverage (&lt;0.5× per cell) which has limited their use to the analysis of large copy-number aberrations (CNAs) in individual cells. While CNAs are useful markers in cancer studies, single-nucleotide mutations are equally important, both in cancer studies and in other applications. However, ultra-low coverage sequencing yields single-nucleotide mutation data that are too sparse for current sing

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Lie, Espen Oen, Tuhin Bhakta, and Ivar Sandø. "Inclusion of seismic attributes in reservoir ensemble coverage analysis." Leading Edge 41, no. 12 (2022): 848–56. http://dx.doi.org/10.1190/tle41120848.1.

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There is a lack of quality-control (QC) methods to ensure measured seismic data are within the span of modeled seismic data in the context of ensemble-based seismic history matching of reservoir models. The dimensionality of seismic data makes it difficult to visualize the data and further compare them to the large number of ensembles in an efficient manner. Two attributes called coverage and importance are introduced to incorporate the key elements of reviewing an ensemble. The coverage attribute delineates where the set of models replicates the measured data, and the importance attribute ide

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Donnay, Karsten, Eric T. Dunford, Erin C. McGrath, David Backer, and David E. Cunningham. "Integrating Conflict Event Data." Journal of Conflict Resolution 63, no. 5 (2018): 1337–64. http://dx.doi.org/10.1177/0022002718777050.

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The growing multitude of sophisticated event-level data collection enables novel analyses of conflict. Even when multiple event data sets are available, researchers tend to rely on only one. We instead advocate integrating information from multiple event data sets. The advantages include facilitating analysis of relationships between different types of conflict, providing more comprehensive empirical measurement, and evaluating the relative coverage and quality of data sets. Existing integration efforts have been performed manually, with significant limitations. Therefore, we introduce Matchin

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Finster, Melissa, Maxim Moinat, and Elham Taghizadeh. "ETL: From the German Health Data Lab data formats to the OMOP Common Data Model." PLOS ONE 20, no. 1 (2025): e0311511. https://doi.org/10.1371/journal.pone.0311511.

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Objective The German Health Data Lab is going to provide access to German statutory health insurance claims data ranging from 2009 to the present for research purposes. Due to evolving data formats within the German Health Data Lab, there is a need to standardize this data into a Common Data Model to facilitate collaborative health research and minimize the need for researchers to adapt to multiple data formats. For this purpose we selected transforming the data to the Observational Medical Outcomes Partnership Common Data Model. Methods We developed an Extract, Transform, and Load (ETL) pipel

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Prasanna, R. "Coating Consumption Loss Analysis." Materials Performance 54, no. 4 (2015): 33–35. https://doi.org/10.5006/mp2015_54_4-33.

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A study was made to determine the actual paint consumption relative to a theoretical benchmark based on technical parameters provided in the coating’s product data sheet. The actual consumption resulted in a loss factor, which is the variable factor indicating the percentage difference between the theoretical coverage and the actual coverage for a particular coating, structure, and application conditions.

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Castro-Aguirre, Ignacio E., Dan Alvarez, Marcela Contreras, et al. "The Impact of the Coronavirus Pandemic on Vaccination Coverage in Latin America and the Caribbean." Vaccines 12, no. 5 (2024): 458. http://dx.doi.org/10.3390/vaccines12050458.

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Background: Routine vaccination coverage in Latin America and the Caribbean declined prior to and during the coronavirus pandemic. We assessed the pandemic’s impact on national coverage levels and analyzed whether financial and inequality indicators, immunization policies, and pandemic policies were associated with changes in national and regional coverage levels. Methodology: We compared first- and third-dose coverage of diphtheria–pertussis–tetanus-containing vaccine (DTPcv) with predicted coverages using time series forecast modeling for 39 LAC countries and territories. Data were from the

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Khan, M. Mahmud, Juan Camilo Vargas-Zambrano, and Laurent Coudeville. "How did the adoption of wP-pentavalent affect the global paediatric vaccine coverage rate? A multicountry panel data analysis." BMJ Open 12, no. 4 (2022): e053236. http://dx.doi.org/10.1136/bmjopen-2021-053236.

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ObjectivesSeveral studies have highlighted the effects of combination vaccines on immunisation coverage at the national or subnational level. This study examined the effects globally. Worldwide introduction of whole-cell pertussis pentavalent (wP-pentavalent) allowed estimation of incremental coverage effects of combination vaccines on the third doses of diphtheria, tetanus, pertussis (DTP3); hepatitis B (HepB3) and Haemophilus influenzae type B (Hib3).DesignMulticountry panel data analysis.Data sourcesCountry-level vaccine coverage data of WHO/UNICEF for the years 1980–2018.MethodsLinear mixe

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Ningrum, Setya, Rokhmayanti Rokhmayanti, and Mieng Nova Sutopo. "COMPARATIVE ANALYSIS THE COVERAGES OF FILARIASIS MASS PREVENTION DRUG (POPM) IN CENTRAL JAVA YEAR 2018: CASE STUDY IN GROBOGAN, SEMARANG, AND WONOSOBO." Epidemiology and Society Health Review (ESHR) 2, no. 1 (2020): 15. http://dx.doi.org/10.26555/eshr.v2i1.1872.

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Background: Filariasis is a disease caused by filarial worms and transmitted by mosquitoes that contain filarial worms. Pemberian Obat Pencegahan Masal (POPM) filariasis or Mass Prevention Drug is a program aimed to reduce the number of filariasis. The Survey of POPM in Grobogan, Semarang, and Wonosobo, shows there are different coverages of 65% and 85%. The purpose of this study is to compare the survey coverage of POPM filariasis. Seek the reason not to participate, and the characteristics of the respondents who did not take filariasis medicine in Grobogan, Semarang, and Wonosobo.Methods: De

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Pivoras, Ainis, Daiva Patalauskaitė, Ilona Jokoniene, and Algirdas Augustaitis. "Mixed coniferous hemi-boreal forest understory vegetation long-term monitoring data analysis. Similarities versus peculiarities." ARPHA Conference Abstracts 8 (June 2, 2025): e159729. https://doi.org/10.3897/aca.8.e159729.

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Ground vegetation is a major component of forest ecosystems. Its composition, diversity, and structure are important factors determining the biological diversity of forest ecosystems. Since the ecosystem is a very complex system, the impact of climate change, meteorological extremes or air pollution is dispersed through all ecosystem components. A change in one parameter inevitably affects the others. The strongest composition and coverage fluctuations within herbs and moss layers are mainly determined by the composition and structure of habitat edificators – trees. The changes of separate und

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Peng, Paul, Anton Oscar Beitia, Daniel J. Vreeman, et al. "Mapping of HIE CT terms to LOINC®: analysis of content-dependent coverage and coverage improvement through new term creation." Journal of the American Medical Informatics Association 26, no. 1 (2018): 19–27. http://dx.doi.org/10.1093/jamia/ocy135.

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AbstractObjectiveWe describe and evaluate the mapping of computerized tomography (CT) terms from 40 hospitals participating in a health information exchange (HIE) to a standard terminology.MethodsProprietary CT exam terms and corresponding exam frequency data were obtained from 40 participant HIE sites that transmitted radiology data to the HIE from January 2013 through October 2015. These terms were mapped to the Logical Observations Identifiers Names and Codes (LOINC®) terminology using the Regenstrief LOINC mapping assistant (RELMA) beginning in January 2016. Terms without initial LOINC mat

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Barchitta, Martina, Andrea Maugeri, Rosario Vinci, and Antonella Agodi. "The Inverse Relationship between Influenza Vaccination and Antimicrobial Resistance: An Ecological Analysis of Italian Data." Vaccines 10, no. 4 (2022): 554. http://dx.doi.org/10.3390/vaccines10040554.

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Antimicrobial resistance (AMR) is one of the key threats to global health and requires sustainable and effective actions to reduce its consequences in the near future worldwide. There are several well-documented and epidemiologically supported examples that both bacterial and viral vaccines might have an impact on AMR. Here, we conducted an ecological analysis of Italian data to evaluate the relationship between influenza vaccination coverage and AMR proportions over the last two decades. We found significant negative correlations between influenza vaccination coverage in the population over 6

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Heintzman, John, Miguel Marino, Megan Hoopes, et al. "Supporting health insurance expansion: do electronic health records have valid insurance verification and enrollment data?" Journal of the American Medical Informatics Association 22, no. 4 (2015): 909–13. http://dx.doi.org/10.1093/jamia/ocv033.

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Abstract Objective To validate electronic health record (EHR) insurance information for low-income pediatric patients at Oregon community health centers (CHCs), compared to reimbursement data and Medicaid coverage data. Materials and Methods Subjects Children visiting any of 96 CHCs (N = 69 189) from 2011 to 2012. Analysis The authors measured correspondence (whether or not the visit was covered by Medicaid) between EHR coverage data and (i) reimbursement data and (ii) coverage data from Medicaid. Results Compared to reimbursement data and Medicaid coverage data, EHR coverage data had high agr

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Nang, Noon Kham. "Lexicon Based Emotion Analysis on Twitter Data." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 1008–12. https://doi.org/10.5281/zenodo.3590493.

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This paper presents a system that extracts information from automatically annotated tweets using well known existing opinion lexicons and supervised machine learning approach. In this paper, the sentiment features are primarily extracted from novel high coverage tweet specific sentiment lexicons. These lexicons are automatically generated from tweets with sentiment word hashtags and from tweets with emoticons. The sentence level or tweet level classification is done based on these word level sentiment features by using Sequential Minimal Optimization SMO classifier. SemEval 2013 Twitter sentim

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Ragab, Adla, Stephen Smith, Ahmad Muhammad Ragab, and Scott Meis. "Domestic Tourism Statistics: A Comparative Analysis of Demand Data Coverage and Method." Tourism Review International 24, no. 1 (2020): 5–21. http://dx.doi.org/10.3727/154427220x15791346544752.

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Domestic tourism is the mainstay of tourism demand for many destinations. However, it does not receive as much attention as international tourism does in either academic or governmental research. There is no global database on domestic tourism statistics and no global view of overall volume and value trend statistics based on integrated measurements that include both domestic and international tourism travel. To begin to address this lacuna, this article assesses the domestic tourism demand data coverage and methods in 20 selected countries. Through exploratory comparative analyses and based o

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Saltz, Ira S. "FDIC Coverage on bank failures: Cointegration analysis using annual data, 1942–91." International Advances in Economic Research 3, no. 1 (1997): 71–80. http://dx.doi.org/10.1007/bf02295002.

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Malhotra, Manish, and Kishor S. Trivedi. "Data integrity analysis of disk array systems with analytic modeling of coverage." Performance Evaluation 22, no. 1 (1995): 111–33. http://dx.doi.org/10.1016/0166-5316(93)e0041-3.

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Briand, Lionel, Y. Labiche, and Q. Lin. "Improving the coverage criteria of UML state machines using data flow analysis." Software Testing, Verification and Reliability 20, no. 3 (2009): 177–207. http://dx.doi.org/10.1002/stvr.410.

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Wu, Changxue, and Dae Min Park. "Big Data Analysis of South Korean Broadcasting’s China-Related Political News Coverage." Journal of Modern China Studies 26, no. 4 (2025): 337–68. https://doi.org/10.35820/jmcs.26.4.11.

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