Statistical Information System Research Articles

Throughput Maximization for Wireless Powered Multimedia Communication Systems Under Statistical Latency Constraint

This paper investigates the relationship among the traffic throughput, statistical data latency requirement and system configurations in a wireless powered multimedia communication system. Firstly, a system model is built up with considerations of two operation modes and practical non-linear energy harvesting process. Based on the system model, the effective capacity of the considered system is derived based on the wireless charging parameter and fix data transmission rate. Then, the latency violation provability is studied by jointly taking effective capacity, traffic arrival and maximum tolerable data latency into account. Thereafter, the traffic maximization problem is transformed to the effective capacity maximization problem. Furthermore, We propose an optimal solution and a near-optimal solution to find out the system configurations of wireless charging time and transmission rate. Simulation results verify the accuracy of the near-optimal solution and also shed light on the operation mode selection in the considered system.

Analysis of Annual Energy Use Intensities (EUIs) by End-Use in Apartment Units According to Stratification Variables (2017 – 2018)

To achieve the goal of reducing greenhouses gases, many countries have recognized the importance of energy conservation in the building sector, and such countries are considerably strengthening their building energy conservation policies by reinforcing design standards, encouraging remodeling, and requiring zero-energy construction. In order to effectively strengthen these policies, it is necessary to provide information concerning energy consumption in the building sector to ensure the technical and economic feasibility of policies in the marketplace, and to allow building users and policy makers to easily access and understand energy consumption characteristics. It is important to provide information that allows people to effectively understand the state of energy consumption by end-use (space heating, space cooling, domestic hot water, etc.) as part of the creation of a concrete plan for energy reduction that incorporates various service systems and is familiar to people. This is because providing such information plays an important role in establishing concrete policies and encouraging voluntary energy performance improvements by building occupants. South Korea operates the Korea Energy Statistics Information System (KESIS) and the information provided by this type of information system consists mainly of energy consumption by energy source (electricity, gas, etc.), and such systems remain inadequate for providing effective information on energy consumption and energy use intensity (EUI) by end-use (space heating, space cooling, domestic hot water, etc.) as part of the creation of a concrete plan for energy conservation. In order to accurately provide energy consumption information by end-use rather than limit the information to mainly consumption corresponding to energy sources, in this study, measurement systems were installed in 2014 ~ 2016 based on the overall sampling designs of previous studies for apartment units, classifications, measurement and data gathering methods for energy consumption by end-use. The annual statistical values for EUI by end-use were collected from the measurement data for 71 sample apartment units from May 2017 to April 2018. This data was calculated and analyzed using stratification variable levels for completion year, supplied area, and the heat source type.

Geospatial Analysis of Birth Records to Target Programming for Mothers With Gestational Diabetes Mellitus in Michigan, 2013.

The incidence of gestational diabetes mellitus (GDM) in the United States has increased during the past several decades. The objective of this study was to use birth records and a combination of statistical and geographic information system (GIS) analyses to evaluate GDM rates among subgroups of pregnant women in Michigan. We obtained data on maternal demographic and health-related characteristics and regions of residence from 2013 Michigan birth records. We geocoded (ie, matched to maternal residence) the birth data, calculated proportions of births to women with GDM, and used logistic regression models to determine predictors of GDM. We calculated odds ratios (ORs) from the exponentiated beta statistic of the logistic regression test. We also used kernel density estimations and local indicators of spatial association (LISA) analyses to determine GDM rates in regions in the state and identify GDM hot spots (ie, areas with a high GDM rate surrounded by areas with a high GDM rate). We successfully geocoded 104 419 of 109 168 (95.6%) births in Michigan in 2013. Of the geocoded births, 5185 (5.0%) were to mothers diagnosed with GDM. LISA maps showed a hot spot of 8 adjacent counties with high GDM rates in southwest Michigan. Of 11 064 births in the Southwest region, 829 (7.5%) were to mothers diagnosed with GDM, the highest rate in the state and a result confirmed by geospatial analyses. Birth data and GIS analyses may be used to measure statewide pregnancy-associated disease risk and identify populations and geographic regions in need of targeted public health and maternal-child health interventions.

RETRACTED ARTICLE: Designing statistical assessment healthcare information system for diabetics analysis using big data

Health services research provides a multi-disciplinary area of scientific exploration in relation to financial systems, social factors, organizational processes, and health technologies. With the help of big data, the huge amount of data can well be stored and handled effectively for diagnosis and also proper treatment of diseases can be monitored with these emerging technologies. In recent years, Diabetes Mellitus is non-transmittable illnesses that are a matter of concern in most of the developing countries. This paper proposes a model of a statistical assessment, healthcare information system for Diabetes Analysis employing big data. The performance metric such as accuracy and F-measure for the proposed statistical assessment model is evaluated by Hadoop framework, the results are comparatively higher than existing methods.

An Efficient Strategy for the Development of Tourism at Regional Level

Tourism promotes the development of small and medium-sized business, an increase in employment and self-employment, and allows smoothing the disproportions of territorial development. The objective of this work is to study the modern state of the tourism industry and to reveal the strategical development trends of tourism in the regions of the Southern Federal District (SFD).The statistical data of Rosstat (Federal Service of State Statistics), Federal Agency for Tourism, the database of the EMISS (Unified Interdepartmental Statistical Information System) and other open sources of information were used as the sources of secondary information.The practical part of the research is based upon the application of the author's method of estimation of the current state of the tourism industry in the regions that presupposes the calculation of the complex index of tourism development in the region.The results of the performed research allowed classifying the regions according to the level of tourism development and determining the strategies of competitiveness improvement of the regional touristic products on its base.

Fluctuating operation development index of community health service centres in the Pudong new area of Shanghai: A continuous investigation

Previous performance evaluations among community health service centres (CHSCs) have been mainly based on absolute indicators, while the operation index, a more comprehensive evaluation method, has been rarely used in evaluation. This study aimed to develop a set of operation index suitable for the evaluation of CHSCs in Pudong. The operation index system, developed based on a literature review, focus group, and factor analysis, was applied to all 45 CHSCs in Pudong. The data were mainly derived from the Pudong Health Statistics Information System from 2010 to 2014. The analysis included a descriptive analysis, t tests, variance analysis, and repeated measures analysis of variance. Different aspects of the operation index showed different developing trends during 2010 to 2014. The overall operation, service operation, management condition, and comprehensive satisfaction index were significantly different in different years (P<0.05). However, the differences in the development foundation index were not obvious (P>0.05). Moreover, the regional factor and medical association influenced the performance of service operation index, and the informatization level affected the performance of overall operation and management condition index (P<0.05), with different family GP programmes level affecting management condition index (P<0.05). Changes in the management condition index led to fluctuations in overall operation in the CHSCs. Since regional factors, family GP programmes, and medical associations promoted the operation of CHSCs, we advocate a multi-dimensional evaluation combining horizontal performance appraisal and vertical index evaluation to focus on these factors.

Response error and the Medicaid undercount in the current population survey.

To measure the Medicaid undercount and analyze response error in the 2007-2011 Current Population Survey Annual Social and Economic Supplement (CPS ASEC). Medicaid Statistical Information System (MSIS) 2006-2010 enrollment data linked to the 2007-2011 CPS ASEC person records. By linking individuals across datasets, we analyze false-negative error and false-positive error in reports of Medicaid enrollment. We use regression analysis to identify factors associated with response error in the 2011 CPS ASEC. We find that the Medicaid undercount in the CPS ASEC ranged between 22 and 31% from 2007 to 2011. In 2011, the false-negative rate was 40%, and 27% of Medicaid reports in CPS ASEC were false positives. False-negative error is associated with the duration of enrollment in Medicaid, enrollment in Medicare and private insurance, and Medicaid enrollment in the survey year. False-positive error is associated with enrollment in Medicare and shared Medicaid coverage in the household. Survey estimates of Medicaid enrollment and estimates of the uninsured population are affected by both false-positive response error and false-negative response error, and these response errors are non-random.

Gender inequality and suicide gender ratios in the world

BackgroundTo assess whether gender inequality determines the patterns of suicide gender ratios. MethodsUsing suicide data obtained from the World Health Organization Statistical Information System, 2012, suicide gender ratios were calculated and a world map of the ratios constructed. Forest plots were utilized to assess whether gender inequality (indicated by the Gender Inequality Index [“GII”] and male to female sex ratios at birth) moderated the worldwide patterns of suicide gender ratios. Regression analyses were then performed to estimate the extent to which gender inequality affects suicide gender ratios before and after controlling for human development level (“HDI”). ResultsGradient relationships of suicide gender ratios across 3 tertiles of GII were observed (ratios = 2.03, 2.54, 3.51, respectively for high, moderate and low GII, P = 0.03). High sex ratio at birth was significantly associated with lower suicide gender ratio (ratio = 1.64 vs. 2.75, P = 0.00). Regression analyses showed that highest tertile of GII and high sex ratios at birth were significantly associated with lower suicide gender ratios (P = 0.00 and P = 0.00, respectively). When the level of human development level was controlled, high sex ratio at birth remained to be a significant determinant of suicide gender ratios (P = 0.00), whereas the significance of GII disappeared (P = 0.19). LimitationsThe cross-sectional data do not allow for causal inferences. ConclusionsMale to female suicide ratios were higher in countries with more egalitarian gender norms. Strategies to eliminate culturally embedded gender discrimination have the potentials to prevent suicides.

Measuring State Medicaid Home Care Participation and Intensity Using Latent Variables.

Population aging and policies to redirect long-term care toward home- and community-based services have led to increases in Medicaid home care spending in most states. Changes in state Medicaid home care policy generosity may result from changes in the number of persons served (i.e., Participation) and/or changes in quantities of services covered (i.e., Intensity). This study measures state Medicaid home care Participation and Intensity comprehensively using latent variables, and uses those latent variables to describe changes in Medicaid home care policy generosity over time and across states. Yearly state-level data from the Medicaid Statistical Information System (1999-2012) are analyzed using exploratory and confirmatory factor analyses. Between 1999 and 2012, 29 states expanded both Participation and Intensity, whereas six states reduced both. In the remaining states, a trade-off occurred. Distinguishing between Medicaid home care Participation and Intensity deserves attention, as expansions along these two dimensions represent potentially different implications for beneficiaries.

Implications of demographic changes and land transformations on surface water quality of rural and urban subbasins of Upper Bhima River basin, Maharashtra, India

For sustainable development in a river basin, it is crucial to understand population growth–land use/land cover (LU/LC) transformations–water quality nexus. This study investigates the effects of demographic changes and LU/LC transformations on surface water quality of rural (Ghod) and urban (Mula-Mutha) subbasins of Upper Bhima River basin. Population data (1981–2011) and LU/LC data {October 2002 [Landsat Enhanced Thematic Mapper (ETM+) data] and October/November 2009 (Indian Remote Sensing 1C Linear Imaging Self Scanner III data]} were analysed using statistical, remote sensing and geographic information system techniques to study demographic and LU/LC changes, respectively. Further, overall indices of pollution (OIPs) developed specifically for rural subbasin (OIPr: Hardness CaCO3 and Total Dissolved Solids), urban subbasin (OIPu: Biological Oxygen Demand, Chlorides, Coliform Total, Colour, Dissolved Oxygen%, pH and Turbidity) and single OIP considering all parameters (OIPa) were used for spatio-temporal water quality assessment of pre-monsoon and post-monsoon periods. Results revealed that from 1981 to 2011, population increase was higher in urban subbasin than in rural subbasin. Subsequently, from 2002 to 2009 mainly increase in built-up lands (3.82%) and agricultural lands (15.35%) in urban and rural subbasins respectively, affected their water quality. From 2002 to 2009, the highest increase in OIPr and OIPu was observed at Kashti (3.37–6.52 due to fertilizers) and Bundgarden Bridge (3.03–7.83 due to municipal and industrial wastes) stations of rural and urban subbasins, respectively. With significant increase in OIPa of 2.74–6.70, Bundgarden Bridge station affected by urbanization had the most polluted water quality.

PIN63 - Variation in Hepatitis C Drug Utilization Across State Medicaid Programs

Direct-acting antivirals (DAA) are an effective treatment for hepatitis C. We hypothesized state Medicaid programs varied in DAA utilization, and relaxation of policy restrictions resulted in increased utilization. To test these hypotheses, we examined variation in DAA utilization across state Medicaid programs, and the relationship between DAA utilization and policy change. We used several data source to estimate DAA utilization across Medicaid programs between 2014 and 2016. Drug dispensing by state-level Medicaid was accessed from the Centers for Medicaid Medicare Services. Medicaid enrollment was procured from the Statistical Enrollment Data System and state coverage policies was obtained from published literature. Population data as from the Census Bureau and hepatitis C prevalence from published data. At the state level, we calculated prescriptions filled relative to our estimates of hepatitis C prevalence in the Medicaid population. Changes in the number of dispensed prescriptions were compared among states with lessening versus stable restrictions overtime. Approximately 665,000 DAA prescriptions were dispensed across all 50 Medicaid programs between 2014 and 2016. There was variation in drug restriction policies across the states. In 2014, 26 states required a minimum liver fibrosis score of F3 or higher before a DAA would be covered, one required an F1, two required an F2, four states required an F4, and 14 states had missing data. By 2016, 14 states relaxed their restrictions, while 16 maintained their restrictions. States that relaxed restrictions dispensed DAAs to cover 6.1% of their estimated Medicaid hepatitis C population in 2104 and 39.2% in 2016. States with stable restrictions covered 4.4% in 2014 and 17% in 2016. DAA utilization varied widely across states. By 2016, states that relaxed their restrictions had a greater increase in DAA utilization relative to stable states. Policymakers should remove restrictions to allow patients better access to treatment.

Broker-Dealer Competition in the Korean Financial Securities Markets

Purpose - This study measures how competitive securities broker-dealers are in the Korean financial markets. It aims to test whether the markets are perfectly competitive or monopolistic since the global financial crisis of 2008. Research design, data, and methodology - We apply the method developed by Panzar and Rosse (1987), H-statistics, which offers an index for the competitiveness as well as statistical tests. The dataset in use is retrieved mainly from the quarterly statements of the financial services companies by the Financial Statistics Information System of the Financial Supervisory Service. General information on officers and employees is utilized in addition to balance sheets and income statements of securities companies. Results - H-statistics for 2009-2015 is about 0.7 that is a robust estimate regardless of model specifications such as full trans-log, partial trans-log, and Cobb-Douglas regression equations. H-statistics for each year is also computed in similar ways in that it varies between 0.3 and 0.9. Conclusions - Since the global financial crisis, H-statistics concludes that securities broker-dealer markets in Korea is neither perfectly competitive nor monopolistic. It evidences that the markets are rather monopolistically competitive. The trend in annual H-statistics leads to the same conclusion but the result is not such stable that overall H-statistics implies.

In This Issue: Fostering Access to Local Food Data

First paragraphs:Our cover for this issue depicts the growing adaptation of statistical, infographic, and geographic information systems tools to local food system data. As a city and regional planning student with a specialty in food systems back in the mid-1980s, I could only have dreamed of such technology. We had Excel, of course, and I made the most of its charting tools, but nothing tells a story like a 3D color-coded data map!At JAFSCD, we like to think we are fostering access to local food data. Every year we see new applications of the burgeoning technology available. Frankly, it is comforting to think that visual displays of information like the one on this issue’s cover provide not only a means for experts to discover new spatial information, but also for sharing information with lay people and allowing them to identify and contribute critical insights as well. After all, a picture is worth a thousand words; most of us are visual learners. In the not-too-distant future, we will be asking JAFSCD authors to make their data available for use by other researchers and practitioners for the benefit of the greater good—as part of our new open access, community-supported journal model....

Ukrainian segment of the ENTLN (LIGHTNING FINDING SYSTEM)

The Ukrainian segment of the Earth Networks lightning finding system created in 2016 is dis-cussed in the paper. It consists of 12 sensors located in different parts of Ukraine which allow identifying both types of lightning: "cloud-to-ground discharge (CG)" and "cloud-to-cloud dis-charge (CC)". The stated number of sensors covers the entire territory of Ukraine and allows the determination of CG with a probability of 95 % with the spatial accuracy of lightning detection constituting about 200 meters. Taking into account the necessity to preserve the equipment, an agreement was reached with the Ukrainian Hydrometeorological Centre on installation of light-ning finding sensors within the territory of meteorological stations. Significant advantage of this lightning finding system is that it allows recording of electromagnetic lightning signals within the range from 1 Hz to 12 MHz. Due to this, the spatial position of CG and CC can be determined more accurately by analyzing the spectrum of electromagnetic signal within the specified range. To localize a lightning discharge using the ENTLN network the method of lightning finding based on the principle of "time of signal arrival (ToA)" is applied. The primary data obtained from the lightning finding sensors are analyzed in the internal system of centralized processing and can be used further by a consumer in two ways: either directly, or serve as output data for series of prod-ucts resulted from processing using mathematical, statistical and geographic information systems. In order to process obtained data the UHMI developed a modular system that allows unification of the means of primary and secondary processing of output data and enabling all necessary channels for transmission of generated data using a wide range of protocols. To visualize the lightning data a subsystem based on the open GeoServer for preprocessing of the geodata and client tools using the mapping data of OpenStreetMap are used. As an example of one of possibilities these lightning data provide, the analysis of the spatial and temporal distribution of lightning activity over the ter-ritory of Ukraine from June 10 to September 30, 2016 has been done and the results showed that these data could be a new, qualitative source of data for climatological studies. In addition, real-time data acquisition allows creation of a series of products for a wide range of consumers inter-ested in a short-term forecasting.

VARIATION OF WATER QUALITY ALONG A RIVER IN AGRICULTURAL WATERSHED WITH SUPPORT OF GEOGRAPHIC INFORMATION SYSTEMS AND MULTIVARIATE ANALYSIS

In this work we present the application of multivariate statistical analysis and Geographic Information Systems for the conduct of studies the variation of water quality in catchment predominantly agricultural. We conducted the study in the watershed of the Rio das Lontras river/Parana; being carried out with the aid of a multi-parameter probe, in ten spots defined upstream and downstream of the watershed, in four distinct seasons. For mapping land use and occupation, we used mosaicked images dating from the year 2014, from Google Earth. The definition of the areas of influence by the Thiessen polygons technique and multivariate statistical techniques, particularly the Redundancy Analysis (RDA), were used for the correlation research between the explanatory and explanatory variables. In the area of spring, located upstream of the watershed, the contribution to the variation in water quality became smaller, compared to the other monitoring spots. In spots located downstream, we found that the interference in water quality has become greater, due to the effects of diffuse pollution along the watercourse.

Female labour force participation and suicide rates in the world

The current study aims to illustrate male to female suicide rate ratios in the world and explore the correlations between female labour force participation rates (FLPR) and suicide rates of both genders. Further, whether the relationship of FLPR and suicide rates vary according to the human capabilities of a given country are examined.Using suicide data obtained from the World Health Organization Statistical Information System, suicide gender ratios of 70 countries are illustrated. Based on the level of Human Development Index (HDI) and FLPR, the Bayesian Information Criteria (BIC) was used to determine the optimal number of clusters of those countries. Graphic illustrations of FLPR and gender-specific suicide rates, stratified by each cluster were presented, and Pearson's correlation coefficients calculated.Three clusters are identified, there was no correlation between FLPR and suicide rates in the first cluster where both the HDI and FLPR were the highest (Male: r = 0.29, P = 0.45; Female: r = 0.01, P = 0.97); whereas in Cluster 2, higher level of FLPR corresponded to lower suicide rates in both genders, although the statistical significance was only found in females (Male: r = −0.32, P = 0.15; Female: r = −0.48, P = 0.03). In Cluster 3 countries where HDI/FLPR were relatively lower, increased FLPR was associated with higher suicide rates for both genders (Male: r = 0.32, P = 0.04; Female: r = 0.32, P = 0.05).The relationship between egalitarian gender norms and suicide rates varies according to national context. A greater egalitarian gender norms may benefit both genders, but more so for women in countries equipped with better human capabilities. Although the beneficial effect may reach a plateau in countries with the highest HDI/FLPR; whereas in countries with relatively lower HDI/FLPR, increased FLPR were associated with higher suicide rates.

Executable schema mappings for statistical data processing

Data processing is the core of any statistical information system. Statisticians are interested in specifying transformations and manipulations of data at a high level, in terms of entities of statistical models. We illustrate here a proposal where a high-level language, EXL, is used for the declarative specification of statistical programs, and a translation into executable form in various target systems is available. The language is based on the theory of schema mappings, in particular those defined by a specific class of tgds, which we actually use to optimize user programs and facilitate the translation towards several target systems. The characteristics of such class guarantee good tractability properties and the applicability in Big Data settings. A concrete implementation, EXLEngine, has been carried out and is currently used at the Bank of Italy.

Личный кабинет как элемент информационной системы статистики образования

The article is devoted to the application of information technology in the organization of modern statistics education. The main trends of modernization of statistical instruments due to the changes in the Russian education system are described. The importance of statistics information system creation and its role in the formation of information resources for state management in the field of education are evaluated. The functions of the Ministry of education and science of the Russian Federation as a subject of official statistical registration are shown. Directions of the development of the organizational and technological component of the information system for statistics education are described. This is directly related to the implementation of more advanced technical means for gathering, processing and transfer of data, increase of the automation level for solving statistical tasks, in particular, the introduction of information system elements such as personal account. The appropriateness of the hierarchical approach in the construction of the statistical information system of education is proven. The conceptual basis for the creation of personal accounts is characterized. It is based on the hierarchical structure of the Russian education system and fully provides the solution of the problem of transfer to item-by-item statistics. The author defines the functions of private accounts with consideration for the status of each participant of the information system and presents brief characteristics of technologies for gathering statistical information using the personal account.

Ways to Overcome the Economic Crisis and the Role of Statistics in Decision-making: the Experience of Azerbaijan

The problems faced by the Azeri economy on account of the falling oil price, the slowing economic growth in the countries that are its key trade partners, and the parallel processes in finance and bank sector are discussed. It is shown that due to the reducing external investment, the rather strong dependence on imports and the shadow employment, the underdeveloped human capital, Azerbaijan risks to be moved to the group of countries with medium or even low rates of profitability.&#x0D; Four strategic goals of the road map for the national economy, developed for the transition to the new concept of economic development, are highlighted. It is argued that the sustainable economic development can be achieved through implementing these goals and the strategic road maps on 11 industries of the national economy, by setting the balance between its non-financial and financial sector.&#x0D; In analyzing the strategic road map for the national economy, it is emphasized that improvement in the statistics infrastructure is one of its action areas. Its main objective is to enhance the quality of statistical information for taking more effective decisions on extending the capabilities of supplementary support for the reforms. The importance of statistical reporting for analyses of the implementation of national programs and development guidelines adopted in Azerbaijan is emphasized. The role of statistics in analyses of the current performance and results of measures specified in the road maps at macroeconomic and sectoral level is underlined. The instruments for statistical data collection are enumerated. The branches of statistics where reorganization is a prime objective are determined. The need for actions to ensure international comparability of statistical data, integration of administrative data, development of the statistical information system on the basis of official methodology is substantiated.

Renewable Energy Potentials in the Administrative Regions of Hungary

ABSTRACTThe purpose of the national “Energy map (E-map)” project (KEOP 7.9.0/12-2013-0017) was to create an interactive energy map for Hungary to serve as the basis for financial resource use planning and implementation from 2014 to 2020. The map incorporated all available regional energy data in sectoral components, using statistical databases and graphical information system (GIS) methodologies.This article introduces the methodology and selected results of the evaluation process. In the first part, definitions of theoretical, technological and economic potentials of renewable energy sources are created, using the National Renewable Action Plan of Hungary. The assessment considers hydropower, wind energy, solar, geothermal and biomass energy potentials. It discusses how the regional potential of each energy source was determined, using available databases. The second part of the article provides an overview of the results. Finally, we offer an update on recent renewable energy policy changes that have o...