Journal articles: 'Socioeconomic information'

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Kenny, Stephen, and David Martin. "Geographic Information Systems: Socioeconomic Applications." Geographical Journal 163, no. 1 (March 1997): 104. http://dx.doi.org/10.2307/3059708.

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Rybaczuk, Krysia, and D. Martin. "Geographic Information Systems. Socioeconomic Applications." Geografiska Annaler. Series B, Human Geography 78, no. 3 (1996): 182. http://dx.doi.org/10.2307/490834.

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Madu, Christian N., and Chu‐hua Kuei. "Optimum Information Technology for Socioeconomic Development." Information Management & Computer Security 2, no. 1 (March 1994): 4–11. http://dx.doi.org/10.1108/09685229410058731.

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Monty, Vivienne. "CANSIM (Canadian Socioeconomic Information Management) System." Government Publications Review 18, no. 4 (July 1991): 405–6. http://dx.doi.org/10.1016/0277-9390(91)90038-y.

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Luenam, Amornrat, Wongsa Laohasiriwong, Nattapong Puttanapong, Jiamjit Saengsuwan, and Teerasak Phajan. "Socioeconomic disparities and chronic respiratory diseases in Thailand: The National Socioeconomics Survey." Informatics for Health and Social Care 43, no. 4 (May 10, 2018): 348–61. http://dx.doi.org/10.1080/17538157.2017.1363760.

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Castensson, Reinhold, and David Martin. "Geographic Information Systems and Their Socioeconomic Applications." Geografiska Annaler. Series B, Human Geography 77, no. 1 (1995): 66. http://dx.doi.org/10.2307/490376.

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Wand, Patricia A. "Information centers and socioeconomic development in MENA." IFLA Journal 42, no. 2 (June 2016): 109–17. http://dx.doi.org/10.1177/0340035216642457.

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Gardner, Lesley. "Geographic Information Systems and their Socioeconomic Applications." European Journal of Information Systems 2, no. 1 (January 1993): 61. http://dx.doi.org/10.1057/ejis.1993.10.

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Kuhnen, Camelia M., and Andrei C. Miu. "Socioeconomic status and learning from financial information." Journal of Financial Economics 124, no. 2 (May 2017): 349–72. http://dx.doi.org/10.1016/j.jfineco.2017.03.002.

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Brooks, Brandon, Howard T. Welser, Bernie Hogan, and Scott Titsworth. "SOCIOECONOMIC STATUS UPDATES." Information, Communication & Society 14, no. 4 (March 23, 2011): 529–49. http://dx.doi.org/10.1080/1369118x.2011.562221.

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Braman, Sandra. "Information and Socioeconomic Class in U.S. Constitutional Law." Journal of Communication 39, no. 3 (September 1, 1989): 163–79. http://dx.doi.org/10.1111/j.1460-2466.1989.tb01050.x.

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Costa, Giuseppe, and Nicola Caranci. "Un indice di deprivazione a livello aggregato da utilizzare su scala nazionale: giustificazioni e composizione." SALUTE E SOCIETÀ, no. 1 (March 2009): 58–78. http://dx.doi.org/10.3280/ses2009-001006.

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- Measuring the relative socio-economic disadvantages has been representing a useful tool to study the relationship between socioeconomic factors and health conditions for at least 25 years. In the last years the possibility to develop epidemiological studies in large populations increased thanks to the availability of databases containing health information and databases containing information on socio-economic status (SES). In epidemiological literature we often find multidimensional measures of SES: deprivation indexes. They usually refer to geographical aggregations and are used as proxy of personal conditions; indexes allow to identify and estimate the existing relationship with different health outcomes. Keywords: indexes, socioeconomic status, deprivation, small areas, national census, epidemiology. Parole chiave: indici, stato socioeconomico, deprivazione, piccole aree, censimento, epidemiologia.

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Longley, Paul. "Book Review: Geographic information systems: socioeconomic applications, second edition." Progress in Human Geography 21, no. 1 (February 1997): 135–36. http://dx.doi.org/10.1177/030913259702100124.

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Calijuri, Maria Lúcia, Eduardo M. Bhering, Ligiane A. Souza, Juliana F. Lorentz, Pedro J. Souza, and Marcelo C. Libânio. "Environmental and Socioeconomic Information System for Water Resource Management." Journal of Surveying Engineering 131, no. 3 (August 2005): 97–101. http://dx.doi.org/10.1061/(asce)0733-9453(2005)131:3(97).

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CHEN, EDITH, and KAREN A. MATTHEWS. "Socioeconomic Differences in Social Information Processing and Cardiovascular Reactivity." Annals of the New York Academy of Sciences 896, no. 1 (December 1999): 417–19. http://dx.doi.org/10.1111/j.1749-6632.1999.tb08158.x.

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Jin, Dal Yong. "Socioeconomic implications of broadband services." Information, Communication & Society 8, no. 4 (December 2005): 503–23. http://dx.doi.org/10.1080/13691180500418428.

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Moiseev, Sergey, Natalia Kalinina, Lyudmila Shevchenko, and Vera Poryadina. "Management models for complex socioeconomic systems." E3S Web of Conferences 244 (2021): 11002. http://dx.doi.org/10.1051/e3sconf/202124411002.

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The article describes the management model of complex socioeconomic systems, based on the synthesis of information that characterizes economic systems. To summarize the information, it is proposed to use the Rasch model for estimating latent variables. The management structure of complex economic systems is considered on the basis of generalization of system indicators according to the Rasch model. The mathematical basis for solving the problem is described, including taking into account the importance of the criteria. The case is considered when the values of indicators of the economic system are obtained from a variety of information sources. The results of computational experiments are presented, which allow analyzing the main properties of estimates of generalized indicators of economic systems. Computational experiments have shown that estimates of generalized indicators of objects are measured on a linear scale, are highly accurate and resistant to changes in the source data.

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van de Ven, David, Suzan J. W. Robroek, and Alex Burdorf. "Are workplace health promotion programmes effective for all socioeconomic groups? A systematic review." Occupational and Environmental Medicine 77, no. 9 (March 26, 2020): 589–96. http://dx.doi.org/10.1136/oemed-2019-106311.

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Decreasing socioeconomic health inequalities is considered an important policy priority in many countries. Workplace health promotion programmes (WHPPs) have shown modest improvements in health behaviour. This systematic review aims to determine the presence and magnitude of socioeconomic differences in effectiveness and the influence of programme characteristics on differential effectiveness of WHPPs. Three electronic databases were searched for systematic reviews published from 2013 onwards and for original studies published from 2015 onwards. We synthesised the reported socioeconomic differences in effectiveness of WHPPs on health behaviours, and calculated effectiveness ratios by dividing the programme effects in the lowest socioeconomic group by the programme effects in the highest socioeconomic group. Thirteen studies with 75 comparisons provided information on the effectiveness of WHPPs across socioeconomic groups. Ten studies with 54 comparisons reported equal effectiveness and one study with 3 comparisons reported higher effectiveness for lower socioeconomic groups. Quantitative information on programme effects was available for six studies with 18 comparisons, of which 13 comparisons showed equal effectiveness and 5 comparisons showed significantly higher effect sizes among workers in low socioeconomic position. The differential effectiveness of WHPPs did not vary across programme characteristics. In this study no indications are found that WHPPs increase socioeconomic inequalities in health behaviour. The limited quantitative information available suggests that WHPPs may contribute to reducing socioeconomic inequalities. Better insight is needed on socioeconomic differences in effectiveness of WHPPs to develop strategies to decrease socioeconomic inequalities in health in the workforce.

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Eres, Beth Krevitt. "Socioeconomic conditions related to information activity in less developed countries." Journal of the American Society for Information Science 36, no. 3 (May 1985): 213–19. http://dx.doi.org/10.1002/asi.4630360314.

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Crosnoe, Robert, and Barbara Schneider. "Social Capital, Information, and Socioeconomic Disparities in Math Course Work." American Journal of Education 117, no. 1 (November 2010): 79–107. http://dx.doi.org/10.1086/656347.

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Makdissi, Paul, and Myra Yazbeck. "Measuring socioeconomic health inequalities in presence of multiple categorical information." Journal of Health Economics 34 (March 2014): 84–95. http://dx.doi.org/10.1016/j.jhealeco.2013.11.008.

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Greenstone, Michael, Kenneth Lee, and Harshil Sahai. "Indoor Air Quality, Information, and Socioeconomic Status: Evidence from Delhi." AEA Papers and Proceedings 111 (May 1, 2021): 420–24. http://dx.doi.org/10.1257/pandp.20211006.

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In Delhi, one of the world's most polluted cities, there is relatively little information on indoor air pollution and how it varies by socioeconomic status (SES). Using indoor air quality monitors (IAQMs), we find that winter levels of household air pollution exceed World Health Organization standards by more than 20 times in both high-and low-SES households. We then evaluate a field experiment that randomly assigned monthlong IAQM user trials across medium-and high-SES households but suffered from significant survey non-response. Among respondents, IAQMs did not affect take-up of subsidized air purifier rentals or other defensive behavior.

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Medvedeva, Elena, and Sergey Kroshilin. "Modern childhood and socioeconomic challenges." Living Standards of the Population in the Regions of Russia 17, no. 3 (September 24, 2021): 358–71. http://dx.doi.org/10.19181/lsprr.2021.17.3.6.

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Modern childhood depends on various processes that are formed under the influence of emerging trends around the world: political, social, economic, cultural, demographic, information. Today, global challenges and trends affect many factors that affect childhood. The economic, social, and political development of the country is largely determined by the «quality» (health, education, social adaptation, upbringing) of the younger generation. A lot depends on the system of social values and guidelines, morality and spirituality, and the cultural level. The very concept of «childhood» is analyzed in many foreign and domestic works, studied in various studies, state support programs. However, this problem requires a comprehensive solution. Under the influence of modern conditions: information saturation and accessibility, googling of consciousness, changes in family relations, social and economic problems, health, and a pandemic – it becomes impossible to replicate, as before, the parental experience «in its pure form». This article presents the results of research conducted according to the author's methods: the study of issues of marriage and family relations, health and a healthy lifestyle, the attitude of children and youth to information and communication technologies. All these studies studied the attitude of children and young people to modern problems of society. The methods and tools used have been tested, and the results of the author's research are presented not only at various conferences but also in the Government of the Moscow Region at a meeting of the Coordinating Council for Improving the Demographic Situation in the Ministry of Defense under the Ministry of Social Development. These results help to understand exactly what socio-economic problems exist now and may arise in the future in this field. This is extremely important, since it is in childhood that the foundations of the future personality are laid, the upbringing and formation of a person – the future individual of society-takes place. Complex research of childhood, evaluation of its quality and potential helps to make competent and effective state decisions

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Effah, John, Emmanuel Owusu-Oware, and Richard Boateng. "Biometric Identification for Socioeconomic Development in Ghana." Information Systems Management 37, no. 2 (February 27, 2020): 136–49. http://dx.doi.org/10.1080/10580530.2020.1732528.

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Dart, Jared M., and Cindy Gallois. "Community desires for an online health information strategy." Australian Health Review 34, no. 4 (2010): 467. http://dx.doi.org/10.1071/ah08719.

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Objective. To determine whether the community’s attitudes to components of a community eHealth strategy differ across three different socioeconomic groups. Design. A survey questionnaire was designed and implemented across three different communities. Participants and setting. Paper-based surveys were left in community organisations and local health practices in a low socioeconomic community on the outskirts of Ipswich, Queensland (n = 262), a mid-high socioeconomic community in the western suburbs of Brisbane (n = 256) and at a local university (n = 200). Main outcome measures. Ascribed importance and comfort with proposed components of a community eHealth strategy. Results. A community-oriented health website was perceived as useful in getting access to relevant health information. Those who were most comfortable with accessing online health information were those who were: experienced, had home internet access and were frequent internet users. The most important types of health information for the website were: information about the treatment of conditions, how to manage a chronic illness, how to stay healthy and patient clinical pathways. The low socioeconomic community had different information priorities – all categories were considered more important, particularly information about how the public system operates, local health support groups, and the roles of health professionals. Conclusions. Different communities have different information demands but there is a strong demand for information which empowers community members to take control of their own health and become active participants in their health care. Tools such as a community health portal and patient clinical pathways should become more available. What is known about the topic? There is existing literature discussing the impact of the internet and other eHealth strategies, in terms of the perceptions and preferences of different parts of the community. Many previous researchers have pointed to deficiencies in health literacy as a function of socioeconomic status and their negative consequences for health outcomes and participation in health care. The internet has been recommended as a useful way to increase health literacy, if users’ knowledge and skills and preferences are adequately assessed and catered for. What does this paper add? This paper adds detail to what is known about the preferences of various parts of the community in terms of eHealth and online health information. It adds Australian data to our understanding of the role of the internet, and of community-based approaches to eHealth. Our results underscore the importance of understanding differences as a function of socioeconomic status, as well as knowledge of basic internet skills, health literacy, and online experience in determining patients’ preferences for and use of these means of accessing health information. What are the implications for practitioners? In the context of the growing burden of chronic disease and the importance of lifestyle factors and risk factor modification, this research suggests that a concerted online health information approach is valuable and timely. In particular, the paper provides data as to different communities’ opinions of potential components of an online health information strategy.

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Dart, Jared, Cindy Gallois, and Peter Yellowlees. "Community health information sources — a survey in three disparate communities." Australian Health Review 32, no. 1 (2008): 186. http://dx.doi.org/10.1071/ah080186.

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Objective: To determine the current utilisation, importance, trust and future preference for contemporary sources of health information in three different socioeconomic groups. Design: A pilot study including key informant interviews and direct observation was conducted in a low socioeconomic community. From this work a survey questionnaire was designed and implemented across three different communities. Participants and setting: Semi-structured key informant interviews and focus groups capturing 52 respondents. Paper-based surveys were left in community organisations and local health practices in a low socioeconomic (LSE) community on the outskirts of Ipswich, Queensland, a mid-high socioeconomic (MSE) community in the western suburbs of Brisbane, and at a local university. Main outcome measures: Rank of current and preferred future sources of health information, importance and trustworthiness of health information sources. Results: Across all three communities the local doctor was the most currently used, important, trusted and preferred future source of health information. The most striking difference between the three communities related to the current use and preferred future use of the internet. The internet was a more currently used source of health information and more important source in the university population than the LSE or MSE populations. It was also a less preferred source of future health information in the LSE population than the MSE or university populations. Importantly, currently used sources of health information did not reflect community members? preferred sources of health information. Conclusions: People in different socioeconomic communities obtain health information from various sources. This may reflect access issues, education and awareness of the internet as a source of health information, less health information seeking as well as a reluctance by the e-health community to address the specific needs of this group.

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Memarzadeh, Faranak, and Sulekha Anand. "Guest Socioeconomic Status and Hotel Green Technology." International Journal of Sustainable Entrepreneurship and Corporate Social Responsibility 5, no. 2 (July 2020): 55–65. http://dx.doi.org/10.4018/ijsecsr.2020070104.

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To offer the most effective, sustainable service, hoteliers need a clear understanding of guests' viewpoints on hotels' green technology. Besides the guests' demographic information, which helps in understanding their preferred green-service, information on their socioeconomic status would provide the layout of the guests' mindset and their perceptions of the hotel's green technology. This study employed 210 participants to discover how managers can attain the business advantage of having guests' socioeconomic information. Utilizing the technology acceptance model (TAM), this study examined how the ease of use and usefulness of the green technology is affected by the level of income, education, or cultural background of the guests. The findings indicate that ease of use has a significant relationship with guests' education, and there is no relationship between ease of use and level of income or cultural background. Additionally, no relationship was found between usefulness and education, level of income, or ethnic background.

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Adebonojo, Leslie, Mark Ellis, Kathy Campbell, and Michael Hawkins. "Redirecting library instruction based on socioeconomic data." Reference Services Review 38, no. 3 (August 17, 2010): 398–416. http://dx.doi.org/10.1108/00907321011070892.

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Ramos Beltrame, Walber Antonio, and Oldair Luiz Gonçalves. "Socioeconomic Data Mining and Student Dropout." International Journal for Innovation Education and Research 8, no. 8 (August 1, 2020): 505–18. http://dx.doi.org/10.31686/ijier.vol8.iss8.2554.

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This paper aims to analyze the student dropout from a higher education course, in the city of Guarapari, Espírito Santo, Brazil, through the use of the computational tool known as data mining. The objective was to investigate the possible scenarios for the early identification of students with higher risk of dropping out by analyzing socioeconomic data from business school graduates between 2014 and 2018 with the use of information extracted from the academic system. The methodology used was the experimental research, from a quantitative approach through a comparative analysis of data resulting from the processing of computational algorithms. After the analysis, it was concluded that computational techniques can be used to help administrators to plan pedagogical and administrative actions and that the combination of socioeconomic data with school performance information, using the tool, can yield advantageous results, allowing the fight against evasion to be seen as an early and continuous practice.

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Griffiths, Mark D., and Jill Kickul. "The Socioeconomic Determinants of Innovation." International Journal of Entrepreneurship and Innovation 9, no. 4 (November 2008): 231–40. http://dx.doi.org/10.5367/000000008786208722.

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While previous research has provided an unprecedented amount of data on entrepreneurial activity across countries (Global Entrepreneurship Monitor, GEM), this study takes an expanded yet nuanced view, and questions previous assumptions regarding what is both an input and outgrowth of such activity – innovation. By adopting a cross-cultural perspective that utilizes information from multiple datasets, the authors investigate the distinct role that government, business/technical and human capital has on enabling innovation. By employing a number of robust empirical tests across multiple countries in a longitudinal manner, the authors determine which hierarchy of factors affects how a particular country initiates and fosters innovative behaviour. Directions for future research, study limitations and the role of government in innovation are discussed.

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Jones, Eugene, Marvin T. Batte, and Gary D. Schnitkey. "A Socioeconomic Analysis of Marketing Information Usage Among Ohio Fruit Producers." Journal of Agricultural and Applied Economics 22, no. 2 (December 1990): 99–107. http://dx.doi.org/10.1017/s1074070800001851.

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Abstract Farm producers attempt to mitigate risk and uncertainty by utilizing accurate and reliable information. This research attempts to identify sources of information used by Ohio fruit producers and then determine which of these sources are best meeting their information needs. Results are based on a logit analysis of Ohio fruit producers and several factors are shown to influence producers' evaluation of the “adequacy” of their marketing information. Among these factors are age, business size, education, type of enterprise, and types of information sources. Reported findings have implications for marketing efficiency, particularly if producers' evaluation of infonnation as adequate is positively related to its efficient use.

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MADON, SHIRIN. "Information-Based Global Economy and Socioeconomic Development: The Case of Bangalore." Information Society 13, no. 3 (September 1997): 227–44. http://dx.doi.org/10.1080/019722497129115.

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Kim, Henna, and Yan Zhang. "Health information seeking of low socioeconomic status Hispanic adults using smartphones." Aslib Journal of Information Management 67, no. 5 (September 21, 2015): 542–61. http://dx.doi.org/10.1108/ajim-12-2014-0181.

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Purpose – Smartphones have great potential to bridge the digital divide that low-socioeconomic status (SES) Hispanics have been experiencing. However, little is known about this group’s use of smartphones for health information. The purpose of this paper is to fill the gap by exploring the context in which smartphones were used for health information. Design/methodology/approach – The authors interviewed 20 low-SES Hispanic participants using the semi-structured interview method. Participants had not obtained college degrees and had annual incomes less than $30,000, but had used their smartphones for health information. The interviews were transcribed and analyzed using the qualitative content analysis method. Findings – Being economical was an important reason for low-SES Hispanic users to use smartphones for health information. The users relied heavily on public Wi-Fi to access the internet. They searched a wide range of health topics, mostly using the mobile web rather than apps. They lacked knowledge and skills to effectively using apps, evaluating the quality of health information, and comprehend information. Research limitations/implications – Having access to smartphones alone does not help bridge the digital gap for low-SES Hispanics. Interventions need to consider improving these users’ smartphone literacy and health literacy, as well as improving their access to Wi-Fi services and to more quality content in Spanish. Originality/value – Prior studies speculated that smartphones could be a means to bridge digital divide experienced by the Hispanic ethnic group. This study provided empirical knowledge about how smartphones are used by these users for health information, and shed light on the design of future informational interventions.

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Peretti-Watel, Patrick, Valérie Seror, Pierre Verger, Romain Guignard, Stéphane Legleye, and François Beck. "Smokers' risk perception, socioeconomic status and source of information on cancer." Addictive Behaviors 39, no. 9 (September 2014): 1304–10. http://dx.doi.org/10.1016/j.addbeh.2014.04.016.

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Brown, Tommy L., Barbara A. Knuth, and Fredric C. Menz. "Lake Ontario's Sport Fisheries: Socioeconomic Research Progress and Needs." Canadian Journal of Fisheries and Aquatic Sciences 48, no. 8 (August 1, 1991): 1595–601. http://dx.doi.org/10.1139/f91-188.

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The management process of an aquatic system such as Lake Ontario depends on a dynamic information base and occurs within an environment comprising ecological, social, cultural, political, and economic factors. It is critical that this information base include socioeconomic components pertaining to resource user values and behaviors as well as the traditional ecological components. This paper reviews socioeconomic information pertaining to the utilization and valuation of Lake Ontario's sport fisheries. It also examines the socioeconomic components of assessing the risks to humans posed by contaminants present in sport fish, communicating this information to fish consumers, and monitoring and understanding human responses to these communications. Several studies have examined the economic impacts of sport fishing on coastal communities of Lake Ontario. Few studies have examined the net economic value of sportfishing to anglers, or how contaminants have reduced such values. Similarly, few studies have examined how the public responds to information about contaminants in sport fish. Some research in these areas is currently underway.

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Polyakova, Aleksandra Grigorievna, and Elvir Munirovich Akhmetshin. "Digital monitoring of socioeconomic situation of urban population." Урбанистика, no. 1 (January 2020): 148–54. http://dx.doi.org/10.7256/2310-8673.2020.1.32207.

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The subject of this research is the socioeconomic situation of urban population and its response to the processes ongoing within the urban environment. Special attention is turned to digital sociology ensuring the due theoretical-methodological framework and toolset for diagnostic and determination of responses based on formation and processing of big data array extracted from the digital environment represented by social media. Digital environment has potential related in inclusion of new research algorithms and technologies into studying social processes unfolding within urban space. Solution of the task of monitoring of socioeconomic situation of urban population is realized through operationalization of big data using network analysis. The article proposes the procedure for creating in midterm perspective of innovative information system for monitoring the quality of life and socioeconomic situation of urban population based on the comprehensive information maintenance of collection and processing of big data arrays of socioeconomic nature. The author described the components ensuring functionality of the suggested information-analytical system.

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Drahota, Amy, Richard Sadler, Christopher Hippensteel, Brooke Ingersoll, and Lauren Bishop. "Service deserts and service oases: Utilizing geographic information systems to evaluate service availability for individuals with autism spectrum disorder." Autism 24, no. 8 (June 22, 2020): 2008–20. http://dx.doi.org/10.1177/1362361320931265.

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Autism spectrum disorder and co-occurring symptoms often require lifelong services. However, access to autism spectrum disorder services is hindered by a lack of available autism spectrum disorder providers. We utilized geographic information systems methods to map autism spectrum disorder provider locations in Michigan. We hypothesized that (1) fewer providers would be located in less versus more populated areas; (2) neighborhoods with low versus high socioeconomic status would have fewer autism spectrum disorder providers; and (3) an interaction would be found between population and socioeconomic status such that neighborhoods with low socioeconomic status and high population would have few available autism spectrum disorder providers. We compiled a list of autism spectrum disorder providers in Michigan, geocoded the location of providers, and used network analysis to assess autism spectrum disorder service availability in relation to population distribution, socioeconomic disadvantage, urbanicity, and immobility. Hypotheses were supported. Individuals in rural neighborhoods had fewer available autism spectrum disorder providers than individuals in suburban and urban neighborhoods. In addition, neighborhoods with greater socioeconomic status disadvantage had fewer autism spectrum disorder providers available. Finally, statistically significant spatial disparities were found; wealthier suburbs had good provider availability while few providers were available in poorer, urban neighborhoods. Knowing autism spectrum disorder providers’ availability, and neighborhoods that are service deserts, presents the opportunity to utilize evidence-based dissemination and implementation strategies that promote increased autism spectrum disorder providers for underserved individuals. Lay abstract Autism spectrum disorder and co-occurring symptoms often require lifelong services. However, access to autism spectrum disorder services is hindered by a lack of available autism spectrum disorder providers. We utilized geographic information systems methods to map autism spectrum disorder provider locations in Michigan. We hypothesized that (1) fewer providers would be located in less versus more populated areas; (2) neighborhoods with low versus high socioeconomic status would have fewer autism spectrum disorder providers; and (3) an interaction would be found between population and socioeconomic status such that neighborhoods with low socioeconomic status and high population would have few available autism spectrum disorder providers. We compiled a list of autism spectrum disorder providers in Michigan, geocoded the location of providers, and used network analysis to assess autism spectrum disorder service availability in relation to population distribution, socioeconomic disadvantage, urbanicity, and immobility. Individuals in rural neighborhoods had fewer available autism spectrum disorder providers than individuals in suburban and urban neighborhoods. In addition, neighborhoods with greater socioeconomic status disadvantage had fewer autism spectrum disorder providers available. Finally, wealthier suburbs had good provider availability while few providers were available in poorer, urban neighborhoods. Knowing autism spectrum disorder providers’ availability, and neighborhoods that are particularly poorly serviced, presents the opportunity to utilize evidence-based dissemination and implementation strategies that promote increased autism spectrum disorder providers for underserved individuals.

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Dart, Jared. "The internet as a source of health information in three disparate communities." Australian Health Review 32, no. 3 (2008): 559. http://dx.doi.org/10.1071/ah080559.

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A survey questionnaire was designed and implemented across three different communities to determine the current utilisation, importance, trust and future preference for the internet as a source of health information in three different socioeconomic groups. The following were the key results. Fewer respondents in the low socioeconomic group accessed online health information than the mid-high socioeconomic or university samples. The internet was a much more important source of health information for the university sample. The use of online health information and the importance ascribed to the internet as a source of health information was related to home internet access and the frequency of internet use in all three populations. Most respondents do not bring online health information to their doctor (>70% of those who access online health information). Age alone did not relate to the current use of the internet as a source of health information. Most respondents in all populations did not trust the internet. In all populations the internet was a more preferred source of health information than its current use would suggest, especially among those with home internet access and frequent users of the internet.

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Ljung, Rickard, and Johan Hallqvist. "Misclassification of occupation-based socioeconomic position and gender comparisons of socioeconomic risk." Scandinavian Journal of Public Health 35, no. 1 (January 2007): 17–22. http://dx.doi.org/10.1080/14034940600777260.

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Aims: Because occupational classification systems tend to be less precise in the female sector of the working market there has been concern that this might imply more misclassification of socioeconomic position among women, biasing comparisons of gender-specific socioeconomic differences in risk. Methods: The Stockholm Heart Epidemiology Program (SHEEP) is a population-based case-control study of risk factors for incident myocardial infarction. The study base included all Swedish citizens aged 45—70 in Stockholm County during 1992—94, 550 female and 1201 male cases, and 776 female and 1538 male controls. The use of an occupational classification as the base for categorizing socioeconomic position was compared with socioeconomic position based on detailed self-reported information on job titles and work tasks. Results: Women are categorized into fewer occupational categories than men and the socioeconomic heterogeneity within occupational categories is substantial for women as has been reported by others. However, despite more occupational categories for male types of jobs the socioeconomic heterogeneity within occupational categories is actually larger for men, implying larger misclassification among men. In simulations with different levels of socioeconomic misclassification among women, the effects on the gender comparison of socioeconomic differences in disease risk were small and they were mostly compensated for by less misclassification among men. Conclusions: The findings do not support the assumption that misclassification of socioeconomic position among women due to a restricted working market and a crude occupational classification for female jobs is an important issue when comparing measures of socioeconomic inequalities in health between men and women.

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Sasse, Robert. "Social Media against the Backdrop of Socioeconomic Change." International Journal of Marketing Studies 8, no. 6 (November 11, 2016): 58. http://dx.doi.org/10.5539/ijms.v8n6p58.

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<p>The ongoing development of technology made it possible to use Social Media (SM) in the work world. The intensification of the incorporation process of Social Media into work culture caused diverse socioeconomic changes. The goal in this paper is to highlight drastic changes and tendencies that have occurred and to provide an analysis of these changes. The strategy in this paper is to provide a theoretical basis along with analysis, providing statistics and explanations. The paper is organised as follows. Section 2 describes new ways of working that have recently appeared in work culture. The increasing loyalty to private and professional responsibility takes place of hierarchy that used to be a classic model of working in previous years. Section 3 explains how new forms of communication change working habits and shows the change of users’ nature - from pure consumers to co-creators. Section 4 discusses the tendency of sharing personal information on the Web and probable risks of revealing so much information. Section 5 provides information on the anonymity and its role in communication. Finally, the last section presents findings and conclusions.</p>

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Buckland, Michael, Aitao Chen, Fredric C. Gey, and Ray R. Larson. "Search across Different Media: Numeric Data Sets and Text Files." Information Technology and Libraries 25, no. 4 (December 1, 2006): 181. http://dx.doi.org/10.6017/ital.v25i4.3352.

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Digital technology encourages the hope of searching across and between different media forms (text, sound, image, numeric data). Topic searches are described in two different media: text files and socioeconomic numeric databases and also for transverse searching, whereby retrieved text is used to find topically related numeric data and vice versa. Direct transverse searching across different media is impossible. Descriptive metadata provide enabling infrastructure, but usually require mappings between different vocabularies and a search-term recommender system. Statistical association techniques and natural-language processing can help. Searches in socioeconomic numeric databases ordinarily require that place and time be specified.

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Andrade, Fabíola Bof de, José Leopoldo Ferreira Antunes, Paulo Roberto Borges de Souza Junior, Maria Fernanda Lima-Costa, and Cesar De Oliveira. "Life course socioeconomic inequalities and oral health status in later life." Revista de Saúde Pública 52, Suppl 2 (January 24, 2019): 7s. http://dx.doi.org/10.11606/s1518-8787.2018052000628.

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OBJECTIVE: To investigate the association between life course socioeconomic conditions and two oral health outcomes (edentulism and use of dental prostheses among individuals with severe tooth loss) among older Brazilian adults. METHODS: This was a cross-sectional study with data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil) which includes information on persons aged 50 years or older residing in 70 municipalities across the five great Brazilian regions. Regression models using life history information were used to investigate the relation between childhood (parental education) and adulthood (own education and wealth) socioeconomic circumstances and edentulism and use of dental prostheses. Slope index of inequality and relative index of inequality for edentulism and use of dental prostheses assessed socioeconomic inequalities in both outcomes. RESULTS: Approximately 28.8% of the individuals were edentulous and among those with severe tooth loss 80% used dental prostheses. Significant absolute and relative inequalities were found for edentulism and use of dental prostheses. The magnitude of edentulism was higher among individuals with lower levels of socioeconomic position during childhood, irrespective of their current socioeconomic position. Absolute and relative inequalities related to the use of dental prostheses were not related to childhood socioeconomic position. CONCLUSIONS: These findings substantiate the association between life course socioeconomic circumstances and oral health in older adulthood, although use of dental prostheses was not related to childhood socioeconomic position. The study also highlights the long-lasting relation between childhood socioeconomic inequalities and oral health through the life course.

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Kim, Doo-Hwan. "Socioeconomic Change and Education in Intelligence Information Society : Focusing on Higher Education." Society and Theory 33 (November 30, 2018): 183–223. http://dx.doi.org/10.17209/st.2018.11.33.183.

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Teive, Hélio A. G., and Joohi Jimenez-Shahed. "Parkinson's disease mortality and socioeconomic status: New information from a Korean study." Parkinsonism & Related Disorders 80 (November 2020): 212–13. http://dx.doi.org/10.1016/j.parkreldis.2020.11.005.

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Ly, Martina, M. Ryan Haynes, Joseph W. Barter, Daniel R. Weinberger, and Caroline F. Zink. "Subjective Socioeconomic Status Predicts Human Ventral Striatal Responses to Social Status Information." Current Biology 21, no. 9 (May 2011): 794–97. http://dx.doi.org/10.1016/j.cub.2011.03.050.

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Mizala, Alejandra, Pilar Romaguera, and Miguel Urquiola. "Socioeconomic status or noise? Tradeoffs in the generation of school quality information." Journal of Development Economics 84, no. 1 (September 2007): 61–75. http://dx.doi.org/10.1016/j.jdeveco.2006.09.003.

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Wang, Zhiting, Guiyuan Shi, Mingsheng Shang, and Yuxia Zhang. "The Stock Market Model with Delayed Information Impact from a Socioeconomic View." Entropy 23, no. 7 (July 14, 2021): 893. http://dx.doi.org/10.3390/e23070893.

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Finding the critical factor and possible “Newton’s laws” in financial markets has been an important issue. However, with the development of information and communication technologies, financial models are becoming more realistic but complex, contradicting the objective law “Greatest truths are the simplest.” Therefore, this paper presents an evolutionary model independent of micro features and attempts to discover the most critical factor. In the model, information is the only critical factor, and stock price is the emergence of collective behavior. The statistical properties of the model are significantly similar to the real market. It also explains the correlations of stocks within an industry, which provides a new idea for studying critical factors and core structures in the financial markets.

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Tingzon, I., A. Orden, K. T. Go, S. Sy, V. Sekara, I. Weber, M. Fatehkia, M. García-Herranz, and D. Kim. "MAPPING POVERTY IN THE PHILIPPINES USING MACHINE LEARNING, SATELLITE IMAGERY, AND CROWD-SOURCED GEOSPATIAL INFORMATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W19 (December 23, 2019): 425–31. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w19-425-2019.

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Abstract. Mapping the distribution of poverty in developing countries is essential for humanitarian organizations and policymakers to formulate targeted programs and aid. However, traditional methods for obtaining socioeconomic data can be time-consuming, expensive, and labor-intensive. Recent studies have demonstrated the effectiveness of combining machine learning and satellite images to estimate wealth in sub-Saharan African countries (Xie et al., 2016, Jean et al., 2016). In this study, we investigate the extent to which this method can be applied in the context of the Philippine archipelago to predict four different socioeconomic indicators: wealth level, years of education, access to electricity, and access to water. We also propose an alternative, cost-effective approach that leverages a combination of volunteered geographic information from OpenStreetMap and nighttime lights satellite imagery for estimating socioeconomic indicators. The best models, which incorporate regional indicators as predictors, explain approximately 63% of the variation in asset-based wealth. Our findings also indicate that models trained on publicly available, volunteer-curated geographic data achieve the same predictive performance as that of models trained using proprietary satellite images.

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Lindner, Anabele, Cira Souza Pitombo, Lucas Assirati, Jorge Ubirajara Pedreira Junior, and Ana Rita Salgueiro. "Estimation of Travel Mode Choice Using Geostatistics: a Brazilian Case Study." Revista Brasileira de Cartografia 73, no. 1 (February 19, 2021): 182–97. http://dx.doi.org/10.14393/rbcv73n1-54210.

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Traditional methods for travel demand estimation are often built on socioeconomic and travel information. The information required to conduct such studies is costly and rarely available in developing countries. Besides, some conventional methods do not consider the spatial relationship of variables and, in general, a large amount of socioeconomic and individual travel data is required. The key aim of this paper is to evaluate the importance of considering spatial information when estimating travel mode choices especially considering the lack of available data. The study area is the São Paulo Metropolitan Area (Brazil) and the dataset refers to an Origin-Destination Survey, conducted in 2007. This research paper analyzes the use of Geostatistics when estimating discrete travel mode choices. The results demonstrated a satisfactory outcome for the geostatistical approach. Finally, although socioeconomic and travel variables have greater explanatory power in predicting travel mode choices, spatial factors contribute to better understand the travel behavior and to provide further information when estimating spatially correlated data.

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Abitbol, Jacob Levy, and Alfredo J. Morales. "Socioeconomic Patterns of Twitter User Activity." Entropy 23, no. 6 (June 19, 2021): 780. http://dx.doi.org/10.3390/e23060780.

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Stratifying behaviors based on demographics and socioeconomic status is crucial for political and economic planning. Traditional methods to gather income and demographic information, like national censuses, require costly large-scale surveys both in terms of the financial and the organizational resources needed for their successful collection. In this study, we use data from social media to expose how behavioral patterns in different socioeconomic groups can be used to infer an individual’s income. In particular, we look at the way people explore cities and use topics of conversation online as a means of inferring individual socioeconomic status. Privacy is preserved by using anonymized data, and abstracting human mobility and online conversation topics as aggregated high-dimensional vectors. We show that mobility and hashtag activity are good predictors of income and that the highest and lowest socioeconomic quantiles have the most differentiated behavior across groups.

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Journal articles on the topic 'Socioeconomic information'

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