Relevant bibliographies by topics / Indicator data

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Indicator data'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Indicator data"

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BIERKENS, M. F. P., and P. A. BURROUGH. "The indicator approach to categorical soil data." Journal of Soil Science 44, no. 2 (June 1993): 361–68. http://dx.doi.org/10.1111/j.1365-2389.1993.tb00458.x.

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BIERKENS, M. F. P., and P. A. BURROUGH. "The indicator approach to categorical soil data." Journal of Soil Science 44, no. 2 (June 1993): 369–81. http://dx.doi.org/10.1111/j.1365-2389.1993.tb00459.x.

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Bates-Jensen, Barbara M., Cathy A. Alessi, Mary Cadogan, Len?? Levy-Storms, Jennifer Jorge, June Yoshii, Nahla R. Al-Samarrai, and John F. Schnelle. "The Minimum Data Set Bedfast Quality Indicator." Nursing Research 53, no. 4 (July 2004): 260–72. http://dx.doi.org/10.1097/00006199-200407000-00009.

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Hendry, David F., and Carlos Santos. "Regression Models with Data-based Indicator Variables*." Oxford Bulletin of Economics and Statistics 67, no. 5 (October 2005): 571–95. http://dx.doi.org/10.1111/j.1468-0084.2005.00132.x.

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Jennings, Bonnie Mowinski, Lori A. Loan, Debra DePaul, Laura R. Brosch, and Pamela Hildreth. "Lessons Learned While Collecting ANA Indicator Data." JONA: The Journal of Nursing Administration 31, no. 3 (March 2001): 121–29. http://dx.doi.org/10.1097/00005110-200103000-00007.

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Rowell, Patricia. "Lessons Learned While Collecting ANA Indicator Data." JONA: The Journal of Nursing Administration 31, no. 3 (March 2001): 130–31. http://dx.doi.org/10.1097/00005110-200103000-00008.

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Guyonvarch, Laurette, Thierry Hermitte, Frederic Duvivier, Clement Val, and Anne Guillaume. "Driving style indicator using UDRIVE NDS data." Traffic Injury Prevention 19, sup1 (February 28, 2018): S189—S191. http://dx.doi.org/10.1080/15389588.2018.1426920.

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Berti, Peter R., Milena Nardocci, Minh Hung Tran, Malek Batal, Rebecca Brodmann, Nicolas Greliche, and Naomi M. Saville. "Using DHS and MICS data to complement or replace NGO baseline health data: an exploratory study." F1000Research 10 (February 4, 2021): 69. http://dx.doi.org/10.12688/f1000research.47618.1.

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Background: Non-government organizations (NGOs) spend substantial time and resources collecting baseline data in order to plan and implement health interventions with marginalized populations. Typically interviews with households, often mothers, take over an hour, placing a burden on the respondents. Meanwhile, estimates of numerous health and social indicators in many countries already exist in publicly available datasets, such as the Demographic and Health Surveys (DHS) and the Multiple Indicator Cluster Surveys (MICS), and it is worth considering whether these could serve as estimates of baseline conditions. The objective of this study was to compare indicator estimates from non-governmental organizations (NGO) health projects’ baseline reports with estimates calculated using the Demographic and Health Surveys (DHS) or the Multiple Indicator Cluster Surveys (MICS), matching for location, year, and season of data collection. Methods: We extracted estimates of 129 indicators from 46 NGO baseline reports, 25 DHS datasets and three MICS datasets, generating 1,996 pairs of matched DHS/MICS and NGO indicators. We subtracted NGO from DHS/MICS estimates to yield difference and absolute difference, exploring differences by indicator. We partitioned variance of the differences by geographical level, year, and season using ANOVA. Results: Differences between NGO and DHS/MICS estimates were large for many indicators but 33% fell within 5% of one another. Differences were smaller for indicators with prevalence <15% or >85%. Difference between estimates increased with increasing year and geographical level differences. However, <1% of the variance of the differences was explained by year, geographical level, and season. Conclusions: There are situations where publicly available data could complement NGO baseline survey data, most importantly when the NGO has tolerance for estimates of low or unknown accuracy.
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Vink, Karina, Md Nasif Ahsan, Hisaya Sawano, and Miho Ohara. "Global Water-Related Risk Indicators: Meta-Analysis of Indicator Requirements." Journal of Disaster Research 12, no. 2 (March 16, 2017): 355–67. http://dx.doi.org/10.20965/jdr.2017.p0355.

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Despite a long developmental history of water-related disaster risk indicators, there is still no consensus or reliable system for selecting objective data, no methodological system for choosing and verifying the relevancy of water-related disaster risk indicators, and no linking results back to root causes or addressing possible impacts on policies or actors to instigate change.Global policy documents such as the Sendai Framework for Disaster Risk Reduction (DRR) 2015–2013 [1] emphasize the urgent need for indicators capable of measuring risk reduction. However, developing and determining risk indicators faces many issues. Most disaster risk indices published do not yet include a basic overview of what data was used and how it was collected, let alone provide a systematic explanation of why each indicator was included, and why others were not. This consequently complicates linking the findings to their potential policy impacts. It also complicates the providing of clear-cut recommendations for improving resilience, which is a common intent of disaster risk indices.This study, which focuses on water-related hazards, aims to provide disaster managers with a set of criteria for evaluating existing datasets used in disaster risk indices, index construction methods, and the links back to policy impacts. So far, there has been no comprehensive overview of indicator requirements or scoring systems. Previous studies concerning indicator evaluating metrics [2] have fewer metrics and have not yet addressed the different tiers of requirements, namely objective indicator data quality, methodological/epistemological aspects of index composition, and, most importantly, policy and actors of change (impact requirements). Further testing of these metrics in local studies can lead to the greatly needed scientific justification for indicator selection and can enhance index robustness.The results aid in developing an evaluation system to address issues of data availability and the comparability of commonly used indicator sources, such as the World Bank. Once indicators can be scientifically linked to impacts through policy devices, national governments or other actors can become more likely to claim ownership of the data management of indicators. Future studies should expand this evaluation system to other natural hazards and focus on investigating the links between indicators and DRR in order to further validate indicator selection robustly.
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Jiang, Ruoxi, Shunying Zhu, Hongguang Chang, Jingan Wu, Naikan Ding, Bing Liu, and Ji Qiu. "Determining an Improved Traffic Conflict Indicator for Highway Safety Estimation Based on Vehicle Trajectory Data." Sustainability 13, no. 16 (August 18, 2021): 9278. http://dx.doi.org/10.3390/su13169278.

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Currently, several traffic conflict indicators are used as surrogate safety measures. Each indicator has its own advantages, limitations, and suitability. There are only a few studies focusing on fixed object conflicts of highway safety estimation using traffic conflict technique. This study investigated which conflict indicator was more suitable for traffic safety estimation based on conflict-accident Pearson correlation analysis. First, a high-altitude unmanned aerial vehicle was used to collect multiple continuous high-precision videos of the Jinan-Qingdao highway. The vehicle trajectory data outputted from recognition of the videos were used to acquire conflict data following the procedure for each conflict indicator. Then, an improved indicator Ti was proposed based on the advantages and limitations of the conventional indicators. This indicator contained definitions and calculation for three types of traffic conflicts (rear-end, lane change and with fixed object). Then the conflict-accident correlation analysis of TTC (Time to Collision)/PET (Post Encroachment Time)/DRAC (Deceleration Rate to Avoid Crash)/Ti indicators were carried out. The results show that the average value of the correlation coefficient for each indicator with different thresholds are 0.670 for TTC, 0.669 for PET, and 0.710 for DRAC, and 0.771 for Ti, which Ti indicator is obviously higher than the other three conventional indicators. The findings of this study suggest TTC often fails to identify lane change conflicts, PET indicator easily misjudges some rear-end conflict when the speed of the following vehicle is slower than the leading vehicle, and PET is less informative than other indicators. At the same time, these conventional indicators do not consider the vehicle-fixed objects conflicts. The improved Ti can overcome these shortcomings; thus, Ti has the highest correlation. More data are needed to verify and support the study.
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Dissertations / Theses on the topic "Indicator data"

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O'Dowd, Robert J. "An assessment of ordinary and indicator krigings using simulated data sets /." Title page, contents and abstract only, 1986. http://web4.library.adelaide.edu.au/theses/09SB/09sbo26.pdf.

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Carr, John D. "Florida school indicator report data as predictors of high school adequate yearly progress (AYP)." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4864.

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The focus of this research was to identify variables reported in the 2008-2009 Florida School Indicator Report (FSIR) that had a statistical impact, positive or negative, on the likelihood that a school would achieve Adequate Yearly Progress (AYP) in reading or mathematics using the logistic regression technique. This study analyzed four broad categories reported by the FSIR to include academic, school, student, and teacher characteristics. FSIR and AYP data was collected for 468 Florida high schools that were categorized by the Florida Department of Education as presenting a comprehensive curriculum to grades 9-12 or grades 10-12. It was determined in this study that academic data associated with ACT results and the grade 11 FCAT Science were effective predictors of a school's academic health in reading and mathematics. Student absenteeism showed the greatest impact on a school obtaining AYP in reading while the percentage of students qualifying for free and disabled populations within a school showed the greatest impact on a school obtaining AYP in mathematics. Teachers teaching out of field were identified as having a negative influence on AYP in reading and mathematics while a teacher's experience was considered a positive influence on AYP in mathematics only. Further research is necessary to fully explore the use of logistic regression as a predictive tool at the state, school district, and school level.
ID: 029809839; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ed.D.)--University of Central Florida, 2011.; Includes bibliographical references (p. 241-250).
Ed.D.
Doctorate
Teaching, Learning and Leadership
Education
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Hibbert, Michael Patrick. "The development of a solid state wind velocity and direction indicator, suitable for data logging." Thesis, Cape Technikon, 1992. http://hdl.handle.net/20.500.11838/1117.

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Thesis (Masters Diploma (Electrical Engineering)) -- Cape Technikon, Cape Town,1992
This thesis describes the development of a free standing, maintenance free anemometer which has no rotating parts. The principle of operation is based on the \-vind drag/force around a hollow P.V.c. pipe. The aim is to demonstrate how the strain occurring in the P.V.C. pipe, due to wind drag/force acting on it, can generate an electrical signal which can be mathematically manipulated to determine wind velocity and wind bearing.
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Smith, Tamara L. "Associations between Fecal Indicator Bacteria Prevalence and Demographic Data in Private Water Supplies in Virginia." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/50985.

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Over 1.7 million Virginians rely on private water systems to supply household water. The heaviest reliance on these systems occurs in rural areas, which are often underserved in terms of financial resources and access to environmental health education. As the Safe Drinking Water Act (SDWA) does not regulate private water systems, it is the sole responsibility of the homeowner to maintain and monitor these systems.
    Previous limited studies indicate that microbial contamination of drinking water from private wells and springs is far from uncommon, ranging from 10% to 68%, depending on type of organism and geological region. With the exception of one thirty-year old government study on rural water supplies, there have been no documented investigations of links between private system water contamination and household demographic characteristics, making the design of effective public health interventions, very difficult.
    The goal of the present study is to identify potential associations between concentrations of fecal indicator bacteria (e.g. coliforms, E. coli) in 831 samples collected at the point-of-use in homes with private water supply systems and homeowner-provided demographic data (e.g. homeowner age, household income, education, water quality perception). Household income and the education of the perceived head of household were determined to have an association with bacteria concentrations. However, when a model was developed to evaluate strong associations between total coliform presence and potential predictors, no demographic parameters were deemed significant enough to be included in the final model. Of the 831 samples tested, 349 (42%) of samples tested positive for total coliform and 55 (6.6%) tested positive for E. coli contamination. Chemical and microbial source tracking efforts using fluorometry and qPCR suggested possible E. coli contamination from human septage in 21 cases.  The findings of this research can ultimately aid in determining effective strategies for public health intervention and gain a better understanding of interactions between demographic data and private system water quality.

Master of Science
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Bastos, Jorge Tiago. "Road safety strategic analysis in Brazil: indicator and index research." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/18/18144/tde-08042015-103747/.

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The intense economic growth that Brazil has experienced in recent decades and its consequent explosive motorization process have resulted in an undesirable impact: the continuously increasing trend in traffic fatality numbers. This study presents a research on indicators and indexes with the objective of delivering both overall and disaggregated evidence about the road safety performance and targets in fatality reduction in Brazil at the state level taking the exposure into account. The intention is to support road safety strategic analysis in the country and to contribute to improve this critical scene. The methodological structure of this thesis consists of the following three main parts: (I) diagnosing the road safety situation at the state level using final outcome related information, in particular traffic fatality risk data; (II) setting a target number of traffic fatalities based on the relationship between the exposure level and the number of traffic fatalities in each state; and (III) suggesting domains for improvements based on the research of safety performance indicators representing three domains (road user, environment and vehicle) throughout the states. From a benchmarking point of view, we divided the Brazilian states into three separate clusters in order to provide more realistic state performance comparisons. After a data collection and indicators selection step, Data Envelopment Analysis (DEA) was the method used for executing the different steps, with the application of four different types of models specially developed for the identified research purposes. In addition, by means of bootstrapping the DEA scores we measured the sensitivity of the results to possible variations in the input data, for example concerning data quality and availability. As a result, we provided a road safety diagnosis per state as well as traffic fatality targets according to different perspectives: the entire group of road users (motorized and nonmotorized ones), motor vehicle occupants, and finally a disaggregated performance evaluation by running four separate DEA models (for motorcycle, car, truck and bus). Moreover, the SPI research including a hierarchy of 27 safety performance indicators expressed the states relative performance on the main road safety domains. Lastly, state profiles compiling all this information summarized the \"per state\" findings.
O intenso crescimento econômico que o Brasil tem experimentado nas últimas décadas e seu consequente explosivo processo de motorização resultaram em um impacto indesejado: a tendência contínua do aumento do número de mortes no trânsito. Este estudo apresenta uma pesquisa acerca de índices e indicadores com o objetivo de fornecer evidências gerais e desagregadas sobre o desempenho da segurança viária e metas de redução no número de mortes no Brasil no âmbito estadual, levando a exposição em consideração. A intenção é embasar uma análise estratégica da segurança viária no país e contribuir para melhorar este cenário crítico. A estrutura metodológica desta tese consiste das seguintes três partes principais: (I) diagnóstico da situação da segurança viária no nível estadual utilizando informações relacionadas ao resultado final, em particular dados de risco de morte no trânsito; (II) estabelecer uma meta para o número de mortes no trânsito para cada estado; e (III) sugerir domínios para melhorias baseado em pesquisa de indicadores de desempenho da segurança viária voltada a três domínios (usuário da via, ambiente e veículo). Sob a ótica do benchmarking, dividiram-se os estados brasileiros em três clusters para proporcionar comparações mais realistas dos desempenhos estaduais. Após uma etapa de coleta e seleção de indicadores, utilizou-se o método de Data Envelopment Analyis (DEA) para executar as diferentes etapas, com a aplicação de quatro tipos distintos de modelos especialmente desenvolvidos para os propósitos da pesquisa. Além disso, por meio de bootstrapping dos escores obtidos com a DEA, mediu-se a sensibilidade dos resultados a possíveis variações nos dados de entrada, no que diz respeito a, por exemplo, qualidade e disponibilidade dos dados. Como resultado, propicia-se, a partir de diferentes perspectivas, um diagnóstico da segurança viária por estado, assim como metas no número de mortes: para todo o grupo de usuários (motorizados e não-motorizados), ocupantes de veículos motorizados, e finalmente uma avaliação desagregada por meio de quatro modelos separados (para motocicletas, automóveis, caminhões e ônibus). Adicionalmente, a pesquisa de indicadores de desempenho da segurança considerando a hierarquia de 27 indicadores expressou os desempenhos relativos dos estados nos principais domínios da segurança viária. Por fim, perfis estaduais compilando todas estas informações resumem os resultados para os estados.
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Nshimiyimana, Jean Marie Mr, Oluwafeyisayo Oyeniyi, Mathew Mr Seiler, Kimberly Ms Hawkins, and Temitope Mr Adeyanju. "Development of Public Health Indicator Visualization Tool." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/32.

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As the public and government officials become aware of the impact of public health on communities, it is important that relevant public health statistics be available for decision making. Existing web resources have limited visualization options, cannot visually compare a county to all others in the US, and cannot compare the counties in an arbitrary region to all others in the US. The College of Public Health Indicator Visualization Tool (CPHIVT) is a web application providing visualization and ranking for a county in the US in comparison to all counties for a specific health indicator. An iterative development methodology was used to complete major features and refine the features over time. Features divided into small tasks that could be completed within two-week cycles. After the first version of the web application was completed and presented to the client, client feedback on the application was used to refine specifications and was incorporated into planning for future iterations. Iterative development was adopted with a focus on improving and expanding existing features and making the application publicly available online. A suite of automated user interface tests is being developed to verify the application’s functions. Making a complete version of the application publicly available involves significant research and software configuration to deploy the web application in a secure and performant manner. The web application has two major components corresponding to its two major user groups. The first component allows authenticated users from the Department of Public Health to upload and manage sets of data for various health indicators. Tools are included to automatically process uploaded data points. This allows the information presented on the web site to be expanded and kept up to date over time with minimal effort. The second component is accessible to anyone and allows a user to choose to a state or county with text search or hierarchical navigation. The application then provides graphical charts showing that location’s standing for various health indicators compared to all other counties nationally. This is accomplished by applying percentile rankings to the counties and plotting the percentiles against the values for a selected indicator. A user can save a generated chart to a variety of export formats including PNG image or PDF document. The application is expected to serve as a tool for many community members. Staff and students at the College of Public Health will use this tool for presentations and research. County health departments will be able to use the tool when planning community programs. County government leaders can use this tool to determine areas of need in the community. Decision makers will have the ability to visualize their county or region as compared to the nation, not just to neighboring counties or within a state.
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Watson, Robert University of Ballarat. "Generalist telephone counselling and referral call data as a social indicator : a lifeline to social support?" University of Ballarat, 2006. http://archimedes.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/12788.

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The aim of this Australian Research Council Linkage doctoral project with industry partners UnitingCare-Lifeline Ballarat and Lifeline Australia was to investigate whether calls to Lifeline – a generalist telephone counselling and referral service – could be used as valid and reliable social indicators of health. The Lifeline Australia service receives approximately 1,000 calls a day and key details of each call are recorded on its Client Services Management Information System (CSMIS). A number of research questions directed this study: (1) What are the characteristics or attributes of callers to Lifeline?; (2) How do the patterns of calls to Lifeline vary spatially?; and (3) What is the statistical relationship between calls to Lifeline and other measures of community health? This thesis presents a detailed descriptive summary and analysis of Lifeline’s national CSMIS call data (N = 90,128 cases) from 01-04-2003 to 29-06-2003. It explores this and other sources of call data, such as the Telstra Exchange data, for their potential to be used as social indicators. The project created a model of generalist telephone counselling and referral use (MGTCRU). The MGTCRU was used as a theoretical base to a call rate indicator, named the Lifeline Indicator of Social Need (LISN), which reflects the community’s capacity to provide social support to its most socially isolated residents. The LISN was found to have useful attributes and a potential for use as a social indicator of community strength. The call rate indicator showed a statistically significant relationship with the Accessibility/Remoteness Index of Australia, measures of socio-economic disadvantage, and suicide rates. However, the CSMIS database was found to have certain limitations. The thesis presents recommendations for this situation to be addressed. While acknowledging that there are limitations to telephone counselling call data it is clear that these call data can be used to create cost effective, rapid, reliable, and potentially valid social indicators. This thesis has made a number of significant empirical and theoretical contributions to knowledge on telephone counselling and referral. The descriptive summary of the CSMIS data provided in this thesis might be used in innovative ways by social researchers. The LISN could be used on its own or included in other social indices. The MGTCRU provides a theoretical framework for understanding telephone counselling and referral services use and may assist these services to organise their operations and meet the needs of their callers. This project may have particular application to a current upgrade of Lifeline Australia’s telephony and call data systems.
Doctor of Philosophy
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Watson, Robert. "Generalist telephone counselling and referral call data as a social indicator : a lifeline to social support?" University of Ballarat, 2006. http://archimedes.ballarat.edu.au:8080/vital/access/HandleResolver/1959.17/15563.

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The aim of this Australian Research Council Linkage doctoral project with industry partners UnitingCare-Lifeline Ballarat and Lifeline Australia was to investigate whether calls to Lifeline – a generalist telephone counselling and referral service – could be used as valid and reliable social indicators of health. The Lifeline Australia service receives approximately 1,000 calls a day and key details of each call are recorded on its Client Services Management Information System (CSMIS). A number of research questions directed this study: (1) What are the characteristics or attributes of callers to Lifeline?; (2) How do the patterns of calls to Lifeline vary spatially?; and (3) What is the statistical relationship between calls to Lifeline and other measures of community health? This thesis presents a detailed descriptive summary and analysis of Lifeline’s national CSMIS call data (N = 90,128 cases) from 01-04-2003 to 29-06-2003. It explores this and other sources of call data, such as the Telstra Exchange data, for their potential to be used as social indicators. The project created a model of generalist telephone counselling and referral use (MGTCRU). The MGTCRU was used as a theoretical base to a call rate indicator, named the Lifeline Indicator of Social Need (LISN), which reflects the community’s capacity to provide social support to its most socially isolated residents. The LISN was found to have useful attributes and a potential for use as a social indicator of community strength. The call rate indicator showed a statistically significant relationship with the Accessibility/Remoteness Index of Australia, measures of socio-economic disadvantage, and suicide rates. However, the CSMIS database was found to have certain limitations. The thesis presents recommendations for this situation to be addressed. While acknowledging that there are limitations to telephone counselling call data it is clear that these call data can be used to create cost effective, rapid, reliable, and potentially valid social indicators. This thesis has made a number of significant empirical and theoretical contributions to knowledge on telephone counselling and referral. The descriptive summary of the CSMIS data provided in this thesis might be used in innovative ways by social researchers. The LISN could be used on its own or included in other social indices. The MGTCRU provides a theoretical framework for understanding telephone counselling and referral services use and may assist these services to organise their operations and meet the needs of their callers. This project may have particular application to a current upgrade of Lifeline Australia’s telephony and call data systems.
Doctor of Philosophy
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Igulot, P. "Vulnerability and risk to HIV infection in Uganda : multilevel modelling of Uganda AIDS Indicator Survey data." Thesis, City, University of London, 2017. http://openaccess.city.ac.uk/17880/.

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Context HIV/AIDS continues to be a global problem; by 2013, there were 35.3 million people infected globally. Sub Saharan Africa (SSA) continues to be disproportionately affected with 70 percent of all cases, 73 percent all deaths, and 70 percent of all new infections. Although some progress has been made in the response to the epidemic, major challenges remain. For example, even though new infections have been declining in some countries, these are being offset by increases in others. Uganda is one of the countries where HIV infection rates have been increasing in the last 15 years, from 6.2 percent in 2000 to 6.4 percent in 2005 to 7.3 percent in 2012. Much as SSA is disproportionately affected by HIV/AIDS, the region has received considerable research attention, including the association between HIV/AIDS and socioeconomic status (SES) and sexual and gender based violence (SGBV). However, there continues to be controversy surrounding the effect of SES and SGBV on the vulnerability of individuals to the risk of HIV infection. Aims and research questions To contribute to the above debates, this research utilises Bourdieu’s Socio-Structural Theory of Practice (STOP) which argues that individuals are born into a field, which structures their habitus or world view but the field in turn is structured by habitus. To operationalize this theory, this research answers the following broad question, what is the influence of social factors on vulnerability and risk to HIV infection in Uganda? And the following specific questions: (1) what is the effect of SES (wealth status & educational attainment) on people’s vulnerability to the risk of HIV infection in Uganda? (2) What is the effect of SGBV on vulnerability to the risk of HIV infection in Uganda? And, (3) what are the effects of social and structural factors on vulnerability to the risk of HIV infection in Uganda? Data and methods This research was based on a nationally representative sample of 22,979 women and 18,418 men of reproductive age from 20,869 households with 33,692 rural and 7,705 urban respondents in Uganda. The analyses were based on the application of Multilevel Logistic regression models to 2004-05 and 2011 Uganda AIDS Indicator Surveys, fitted in MLwiN. Chapter 5 about the influence of SES on HIV infection and Chapter 6 on the influence of community factors on HIV infection are based on pooled data of 2004–05 and 2011 surveys but Chapter 7 on the influence of SGBV on HIV infection is based on only the 2011 data. Key findings The results provide little evidence of a significant overall association between household wealth and HIV infection. However, there is some indication of increased risk among those in wealthier households that is explained by sexual behavior factors. The increased vulnerability of individuals in wealthier households is particularly apparent for women and rural residents. On the other hand, individuals with higher educational attainment have reduced odds of HIV infection. Those with secondary or higher educational attainment have 37 percent lower odds of being HIV-positive compared to those with no education in the general population when other socio-economic, socio-demographic, and socio-sexual factors are controlled for, and secondary or higher education is more effective in reducing vulnerability in urban than rural areas, and in 2011 than 2004–05. However, incomplete or complete primary educational attainment is associated with increased odds of being HIV-positive in both 2004/5 and 2011 and among rural residents, when important socio-demographic and sexual behavior factors are controlled for. Sexual and gender based violence is associated with increased vulnerability to HIV infection by 34 percent at the individual-level. Besides individual-level effects, community-level SES and SGBV are also important determinants of HIV vulnerability. When both community and individual-level factors were controlled for, living in a community with a higher proportion of wealthy households was associated with increased likelihood of being infected with HIV compared to living in communities with a lower proportion of wealthy households. For social factors, living in an area with higher proportions of: formerly married people, and people who were drunk with alcohol before unsafe sex was also associated with an increased likelihood of being infected with HIV compared to living in areas with lower proportions of people with these practices who had similar other characteristics. However, living in communities with a higher proportion of polygamous men was associated with a lower likelihood of being infected with HIV compared to living in communities with a lower proportion of polygamous men. Overall, community factors account for 10 percent of total variation in HIV prevalence. Conclusions and policy implications Individual-level and societal factors are both important in creating vulnerability to the risk of HIV infection in Uganda. These conclusions are largely consistent with Bourdieu’s theoretical and methodological principles and have broad implications for the HIV/AIDS response that presently pays less attention to societal determinants of HIV vulnerability. To effectively prevent HIV infections, HIV/AIDS policies need to recognize the micro, macro, and complex nature of the AIDS epidemic in Uganda. Attention needs to be paid to how household and community wealth, educational attainment and SGBV influence vulnerability to the risk of HIV infection in Uganda and perhaps, similar settings elsewhere.
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Kress, Marin M. "Identification and use of indicator data to develop models for Marine-sourced risks in Massachusetts Bay." Thesis, University of Massachusetts Boston, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10118449.

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The coastal watersheds around Massachusetts Bay are home to millions of people, many of whom recreate in coastal waters and consume locally harvested shellfish. Epidemiological data on food-borne illness and illnesses associated with recreational water exposure are known to be incomplete. Of major food categories, seafood has the highest recorded rate of associated foodborne illness. In total, the health impacts from these marine-sourced risks are estimated to cost millions of dollars each year in medical expenses or lost productivity. When recorded epidemiological data is incomplete it may be possible to estimate abundance or prevalence of specific pathogens or toxins in the source environment, but such environmental health challenges require an interdisciplinary approach.

This dissertation is divided into four sections: (1) a presentation of two frameworks for organizing research and responses to environmental health issues; (2) an exploration of human population dynamics in Massachusetts Bay coastal watersheds from 2000 to 2010 followed by a review of, and identification of potential indicators for, five marine-sourced risks: Enterococcus bacteria, Vibrio parahaemolyticus bacteria, Hepatitis A Virus, potentially toxigenic Pseudo-nitzschia genus diatoms, and anthropogenic antibiotics; (3) an introduction to environmental health research in the context of a changing data landscape, presentation of a generalized workflow for such research with a description of data sources relevant to marine environmental health for Massachusetts Bay; and (4) generation of models for the presence/absence of Enterococcus bacteria and Pseudo-nitzschia delicatissima complex diatoms and model selection using an information-theoretic approach.

This dissertation produced estimates of coastal watershed demographics and usage levels for anthropogenic antibiotics, it also demonstrated that Pseudo-nitzschia delicatissima complex diatoms may be present in any season of the year. Of the modeling generation and selection, the Enterococcus model performed poorly overall, but the Pseudo-nitzschia delicatissima complex model performed adequately, demonstrating high sensitivity with a low rate of false negatives. This dissertation concludes that monitoring data collected for other purposes can be used to estimate marine-sourced risks in Massachusetts Bay, and such work would be improved by data from purpose-designed studies.

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Books on the topic "Indicator data"

1

(Europe), NEC Electronics. FIP fluorescent indicator panel data book. Düsseldorf: NEC Electronics, 1993.

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Cobb, Clifford. The genuine progress indicator: Summary of data and methodology. [San Francisco, CA]: Redefining Progress, 1995.

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Cunningham, James K. Risk indicator monitoring system (RIMS): Initial measures and findings : data report. [Santa Ana, CA]: County of Orange Health Care Agency, Office of Policy and Planning Coordination, 1992.

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Ontario. Ministry of Northern Development and Mines. Ontario Geological Survey. Kimberlite heavy mineral indicator data release / by T.F. Morris ... [et al.]. Sudbury, ON: The Minstry, 1995.

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Will-Wolf, Susan. Analyzing lichen indicator data in the Forest Inventory and Analysis Program. Portland, OR: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2010.

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Loveday, Barry. Managing crime: Police use of crime data as an indicator of effectiveness. Portsmouth: University of Portsmouth,Institute of Criminal Justice Studies, 2000.

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Hopkins, Shaun M. Social indicator and demographic data report for the district of Sudbury and Manitoulin. Sudbury, Ont: Children's Services Coordinating and Advisory Group for the Districts of Sudbury and Manitoulin, 1985.

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Zegarac, George. Secondary school reform in Ontario and the role of research, evaluation and indicator data. [Toronto, Ont: Ontario Ministry of Education, 2007.

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Johannes, Roseboom, and International Service for National Agricultural Research., eds. ISNAR agricultural research indicator series: A global data base on national agricultural research systems. Cambridge [England]: Cambridge University Press, 1989.

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(SSRAG), Social Service Research and Advisory Group. Demographic data and selected social indicator profile for Manitoulin and Sudbury Districts, 1993: Part 1. Sudbury, Ont: Social Service Research and Advisory Group, 1993.

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Book chapters on the topic "Indicator data"

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Weik, Martin H. "end-of-data indicator." In Computer Science and Communications Dictionary, 519. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6194.

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Myers, Wayne L., and Ganapati P. Patil. "Distal Data and Indicator Interactions." In Multivariate Methods of Representing Relations in R for Prioritization Purposes, 153–63. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3122-0_9.

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Wang, Yetian, and Mark S. Fox. "Consistency Analysis of City Indicator Data." In Lecture Notes in Geoinformation and Cartography, 355–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57819-4_20.

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O’Hare, William P. "Development of the Data-Based Child Indicator Movement." In Data-Based Child Advocacy, 29–40. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07830-4_3.

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Tom, Tessy, Ginish Cheruparambil, and Antony Puthussery. "Tag Indicator: A New Predictive Tool for Stock Trading." In Data Science and Security, 261–66. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5309-7_28.

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Brüggemann, Rainer, and Ganapati P. Patil. "Hasse Diagrams Based on Transformed Data Matrices." In Ranking and Prioritization for Multi-indicator Systems, 75–96. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8477-7_6.

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Diamantini, Claudia, Domenico Potena, and Emanuele Storti. "Extending Drill-Down through Semantic Reasoning on Indicator Formulas." In Data Warehousing and Knowledge Discovery, 57–68. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10160-6_6.

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Li, Xiaqiong, Xiaochun Wang, and Xia Li Wang. "Enhancing Outlier Detection by an Outlier Indicator." In Machine Learning and Data Mining in Pattern Recognition, 393–405. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96136-1_31.

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Shen, Yongjun, Elke Hermans, Tom Brijs, and Geert Wets. "Fuzzy Data Envelopment Analysis in Composite Indicator Construction." In Performance Measurement with Fuzzy Data Envelopment Analysis, 89–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41372-8_4.

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Görz, Quirin, and Marcus Kaiser. "An Indicator Function for Insufficient Data Quality – A Contribution to Data Accuracy." In Lecture Notes in Business Information Processing, 169–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33244-9_12.

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Conference papers on the topic "Indicator data"

1

Li, Zhige, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, and Tie-Yan Liu. "Individualized Indicator for All." In KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3292500.3330833.

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Schofield, Tom. "Neurotic Armageddon Indicator: A Data Sculpture." In Electronic Visualisation and the Arts (EVA 2013). BCS Learning & Development, 2013. http://dx.doi.org/10.14236/ewic/eva2013.8.

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Xie, Xiaojing, Zhe Fan, Byron Choi, Peipei Yi, Sourav S. Bhowmick, and Shuigeng Zhou. "PIGEON: Progress indicator for subgraph queries." In 2015 IEEE 31st International Conference on Data Engineering (ICDE). IEEE, 2015. http://dx.doi.org/10.1109/icde.2015.7113409.

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Peer, Firaz. "Community Indicator Data Dashboards as Infrastructures for Data Literacy." In DIS '19: Designing Interactive Systems Conference 2019. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3301019.3324879.

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Li, Jiexing, Rimma V. Nehme, and Jeffrey Naughton. "GSLPI: A Cost-Based Query Progress Indicator." In 2012 IEEE International Conference on Data Engineering (ICDE 2012). IEEE, 2012. http://dx.doi.org/10.1109/icde.2012.74.

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Liu, Dianfeng, Yaolin Liu, Yin Xia, Xiaofeng Hong, and Zhongjun Zhao. "Indicator mining model for spatial multi-scale degraded land evaluation." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838297.

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Mahimah, P., and R. Kurinji. "Zigzag pixel indicator based secret data hiding method." In 2013 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2013. http://dx.doi.org/10.1109/iccic.2013.6724286.

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Askira Gelman, Irit, and Anthony L. Barletta. "A "quick and dirty" website data quality indicator." In Proceeding of the 2nd ACM workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1458527.1458538.

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Furundzic, Drasko, Srdan Stankovic, and Goran Dimic. "Error signal distribution as an indicator of imbalanced data." In 2014 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2014). IEEE, 2014. http://dx.doi.org/10.1109/neurel.2014.7011503.

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Weng, Haotian, and Artem Lenskiy. "A Trend-following Trading Indicator on Homomorphically Encrypted Data." In 17th International Conference on Security and Cryptography. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009835706020607.

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Reports on the topic "Indicator data"

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Ehlschlaeger, Charles, Jeffrey Burkhalter, Natalie Myers, Carey Baxter, Matthew Hiett, Ellen Hartman, Scott Tweddale, et al. Conflating survey data into sociocultural indicator maps. Engineer Research and Development Center (U.S.), November 2018. http://dx.doi.org/10.21079/11681/29921.

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Buathong, Thananon, Anna Dimitrova, Paolo Miguel M. Vicerra, and Montakarn Chimmamee. Years of Good Life: An illustration of a new well-being indicator using data for Thailand. Verlag der Österreichischen Akademie der Wissenschaften, August 2021. http://dx.doi.org/10.1553/populationyearbook2021.dat.1.

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While Thailand has achieved high levels of economic growth in recent decades, poverty at the local level has been increasing. Indicators of human development at the national level often mask the differences in well-being across communities. When responding to the need for sustainable development research, the heterogeneity of a population should be emphasised to ensure that no one is left behind. The Years of Good Life (YoGL) is a well-being indicator that demonstrates the similarities and differences between subpopulations in a given sociocultural context over time. The data used in this analysis were collected from Chiang Rai and Kalasin, which are provinces located in regions of Thailand with high poverty rates. Our main results indicate that the remaining years of good life (free from physical and cognitive limitations, out of poverty and satisfied with life) at age 20 among the sample population were 26 years for women and 28 years for men. The results varied depending on the indicators applied in each dimension of YoGL. Our analysis of the YoGL constituents indicated that cognitive functioning was the dimension that decreased the years of good life the most in the main specification. This study demonstrates the applicability of the YoGL methodology in investigating the wellbeing of subpopulations.
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Will-Wolf, Susan. Analyzing lichen indicator data in the Forest Inventory and Analysis Program. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2010. http://dx.doi.org/10.2737/pnw-gtr-818.

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Thorleifson, L. H., and R. G. Garrett. Prairie kimberlite study - till matrix geochemistry, and preliminary indicator mineral data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/192437.

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Lesemann, J. E., C. Fuzz, B. A. Kjarsgaard, and H. A. J. Russell. Structure and data quality assessment of the Kimberlite Indicator and Diamond Database (KIDD). Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2014. http://dx.doi.org/10.4095/293334.

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Bloom, David E., Victoria Y. Fan, Vadim Kufenko, Osondu Ogbuoji, Klaus Prettner, and Gavin Yamey. Going beyond GDP with a parsimonious indicator: inequality-adjusted healthy lifetime income. Verlag der Österreichischen Akademie der Wissenschaften, March 2021. http://dx.doi.org/10.1553/populationyearbook2021.res1.1.

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Per capita GDP has limited use as a well-being indicator because it does notcapture many dimensions that imply a “good life”, such as health and equality ofopportunity. However, per capita GDP has the virtues of being easy to interpret andto calculate with manageable data requirements. Against this backdrop, there is aneed for a measure of well-being that preserves the advantages of per capita GDP,but also includes health and equality. We propose a new parsimonious indicatorto fill this gap, and calculate it for 149 countries. This new indicator could beparticularly useful in complementing standard well-being indicators during theCOVID-19 pandemic. This is because (i) COVID-19 predominantly affects olderadults beyond their prime working ages whose mortality and morbidity do notstrongly affect GDP, and (ii) COVID-19 is known to have large effects on inequalityin many countries.
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Harbert, Betsy, Robert Lichvar, and Jennifer Goulet. Review of landscape data available to evaluate the accuracy of wetland indicator status ratings. Engineer Research and Development Center (U.S.), November 2019. http://dx.doi.org/10.21079/11681/34483.

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O'Neill, Katherine P., Michael C. Amacher, and Charles H. Perry. Soils as an indicator of forest health: a guide to the collection, analysis, and interpretation of soil indicator data in the Forest Inventory and Analysis program. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station, 2005. http://dx.doi.org/10.2737/nc-gtr-258.

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Taylor, Lois. Data for Soil nematode functional diversity, successional patterns, and indicator taxa associated with vertebrate decomposition. University of Tennessee, Knoxville Libraries, July 2020. http://dx.doi.org/10.7290/aehbazv8cw.

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Grunsky, E. C., and M. B. McClenaghan. An integrated study of till geochemical, indicator mineral, and pebble lithological data, Thompson Nickel Belt, Manitoba. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/295695.

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