Готові списки джерел за темами / Public health Data processing

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Добірка наукової літератури з теми "Public health Data processing"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 19 лютого 2022

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Статті в журналах з теми "Public health Data processing"

Taylor, Mark J., and Tess Whitton. "Public Interest, Health Research and Data Protection Law: Establishing a Legitimate Trade-Off between Individual Control and Research Access to Health Data." Laws 9, no. 1 (February 14, 2020): 6. http://dx.doi.org/10.3390/laws9010006.

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The United Kingdom’s Data Protection Act 2018 introduces a new public interest test applicable to the research processing of personal health data. The need for interpretation and application of this new safeguard creates a further opportunity to craft a health data governance landscape deserving of public trust and confidence. At the minimum, to constitute a positive contribution, the new test must be capable of distinguishing between instances of health research that are in the public interest, from those that are not, in a meaningful, predictable and reproducible manner. In this article, we

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Siriwardena, N., and M. Dharmawardhana. "Real time data collection and processing using mobile technology: A public health perspective." Sri Lanka Journal of Bio-Medical Informatics 1 (October 24, 2011): 7. http://dx.doi.org/10.4038/sljbmi.v1i0.3539.

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Rodriguez Ayuso, Juan Francisco. "Processing of personal data relating to the health of the data subject in a pandemic situation." Glimpse 22, no. 1 (2021): 95–99. http://dx.doi.org/10.5840/glimpse202122115.

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This study offers a systematic, exhaustive and updated investigation of the declaration of the state of alarm and the processing of personal data relating to the health of citizens affected and/or potentially affected by the exceptional situation resulting from COVID-19. Specifically, it analyses the distinction between the state of alarm and the states of exception and siege and the possible effect on the fundamental right to the protection of personal data in exceptional health crisis situations and the effects that this declaration may have on the applicable regulations, issued, at a Commun

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Jones, Julie Miller. "Food processing: criteria for dietary guidance and public health?" Proceedings of the Nutrition Society 78, no. 1 (September 25, 2018): 4–18. http://dx.doi.org/10.1017/s0029665118002513.

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The NOVA food categorisation recommends ‘avoiding processed foods (PF), especially ultra-processed foods (UPF)’ and selecting minimally PF to address obesity and chronic disease. However, NOVA categories are drawn using non-traditional views of food processing with additional criteria including a number of ingredients, added sugars, and additives. Comparison of NOVA's definition and categorisation of PF with codified and published ones shows limited congruence with respect to either definition or food placement into categories. While NOVA studies associate PF with decreased nutrient density, o

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Becker, Regina, Adrian Thorogood, Johan Ordish, and Michael J. S. Beauvais. "COVID-19 Research: Navigating the European General Data Protection Regulation." Journal of Medical Internet Research 22, no. 8 (August 27, 2020): e19799. http://dx.doi.org/10.2196/19799.

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Researchers must collaborate globally to rapidly respond to the COVID-19 pandemic. In Europe, the General Data Protection Regulation (GDPR) regulates the processing of personal data, including health data of value to researchers. Even during a pandemic, research still requires a legal basis for the processing of sensitive data, additional justification for its processing, and a basis for any transfer of data outside Europe. The GDPR does provide legal grounds and derogations that can support research addressing a pandemic, if the data processing activities are proportionate to the aim pursued

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Cummings, Stuart W. "Distributed Databases for Clinical Data Processing." Drug Information Journal 27, no. 4 (October 1993): 949–56. http://dx.doi.org/10.1177/009286159302700403.

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Pimazzoni, Monica. "Global Data Management: A Winning Approach to Clinical Data Processing." Drug Information Journal 32, no. 2 (April 1998): 569–71. http://dx.doi.org/10.1177/009286159803200230.

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Woods, Valerie. "Musculoskeletal disorders and visual strain in intensive data processing workers." Occupational Medicine 55, no. 2 (March 1, 2005): 121–27. http://dx.doi.org/10.1093/occmed/kqi029.

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Determann, Lothar. "Healthy Data Protection." Michigan Technology Law Review, no. 26.2 (2020): 229. http://dx.doi.org/10.36645/mtlr.26.2.healthy.

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Modern medicine is evolving at a tremendous speed. On a daily basis, we learn about new treatments, drugs, medical devices, and diagnoses. Both established technology companies and start-ups focus on health-related products and services in competition with traditional healthcare businesses. Telemedicine and electronic health records have the potential to improve the effectiveness of treatments significantly. Progress in the medical field depends above all on data, specifically health information. Physicians, researchers, and developers need health information to help patients by improving diag

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Wu, Hong Jiang, Xiang Yang Liu, Hai Yan Zhao, and Xiao Ting Li. "Research on Public Health Service Systems Based on Cloud Computing." Applied Mechanics and Materials 687-691 (November 2014): 2849–52. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2849.

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This research is aimed at building a real time public fitness service system, with massive data storage and processing ability, to meet the public fitness service demand. In this research, we focus on the system positioning, cloud delegation model, service model, service content and operation mechanism of the fitness service system. Method used was system analysis method.

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Дисертації з теми "Public health Data processing"

Chitondo, Pepukayi David Junior. "Data policies for big health data and personal health data." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2479.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2016.<br>Health information policies are constantly becoming a key feature in directing information usage in healthcare. After the passing of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009 and the Affordable Care Act (ACA) passed in 2010, in the United States, there has been an increase in health systems innovations. Coupling this health systems hype is the current buzz concept in Information Technology, „Big data‟. The prospects of big data are full of potential, eve

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Indrakanti, Saratchandra. "Computational Methods for Vulnerability Analysis and Resource Allocation in Public Health Emergencies." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804902/.

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POD (Point of Dispensing)-based emergency response plans involving mass prophylaxis may seem feasible when considering the choice of dispensing points within a region, overall population density, and estimated traffic demands. However, the plan may fail to serve particular vulnerable sub-populations, resulting in access disparities during emergency response. Federal authorities emphasize on the need to identify sub-populations that cannot avail regular services during an emergency due to their special needs to ensure effective response. Vulnerable individuals require the targeted allocation of

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Asiimwe, Sarah. "Use of health information for operational and strategic decision-making by division level managers of Kampala City Council Health Department." Thesis, University of the Western Cape, 2002. http://etd.uwc.ac.za/index.php?module=etd&amp.

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O'Donnell, Melissa. "Towards prevention - a population health approach to child abuse and neglect : health indicators and the identification of antecedent causal pathways." University of Western Australia. School of Paediatrics and Child Health, 2009. http://theses.library.uwa.edu.au/adt-WU2010.0029.

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[Truncated abstract] The primary aims of this thesis were to investigate health indicators of child maltreatment, as well as pathways into the child protection system using routinely collected government databases, enabling a preventative health approach to child abuse and neglect. This thesis aims to improve understanding of the trends in child maltreatment and the factors, at the child and family level, which increase or reduce vulnerability to child maltreatment so more effective prevention policies and practices can be developed. This project uses longitudinal de-identified population data

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Chartree, Jedsada. "Monitoring Dengue Outbreaks Using Online Data." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc500167/.

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Internet technology has affected humans' lives in many disciplines. The search engine is one of the most important Internet tools in that it allows people to search for what they want. Search queries entered in a web search engine can be used to predict dengue incidence. This vector borne disease causes severe illness and kills a large number of people every year. This dissertation utilizes the capabilities of search queries related to dengue and climate to forecast the number of dengue cases. Several machine learning techniques are applied for data analysis, including Multiple Linear Regressi

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Mchunu, Nokubalela Ntombiyethu. "Adequacy of healthcare information systems to support data quality in the public healthcare sector, in the Western Cape, South Africa." Thesis, Cape Peninsula University of Technology, 2012. http://hdl.handle.net/20.500.11838/1387.

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Thesis submitted in fulfilment of the requirements for the degree Master of Technology (MTech) in Information Technology In the Faculty of Informatics and Design, at the Cape Peninsula University of Technology (CPUT), 2013<br>Healthcare services are vital to all human beings, as our daily lives depend on them. In South Africa approximately eighty per cent of the population uses the public healthcare services. In the current healthcare systems data corruption exists which threatens data quality in the systems. The aim of this study was to understand the existing information handling processes a

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Wilmot, Peter Nicholas. "Modelling cooling tower risk for Legionnaires' Disease using Bayesian Networks and Geographic Information Systems." Title page, contents and conclusion only, 1999. http://web4.library.adelaide.edu.au/theses/09SIS.M/09sismw744.pdf.

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Includes bibliographical references (leaves 115-120) Establishes a Bayesian Belief Network (BBN) to model uncertainty of aerosols released from cooling towers and Geographic Information Systems (GIS) to create a wind dispersal model and identify potential cooling towers as the source of infection. Demonstrates the use of GIS and BBN in environmental epidemiology and the power of spatial information in the area of health.

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Lin, Dong. "Novel FDBC with creative technology for integrating advantages of distributed and centralized systems." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2492977.

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Vuorio, R. (Riikka). "Use of public sector’s open spatial data in commercial applications." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201311201883.

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The objective of this study was to analyse how young Finnish information technology (IT) companies utilize the public sector’s open spatial data. The aim was to find out to what extent companies use public sector’s open spatial data in products and how companies are using it. In addition, defects related to data and its use and companies’ awareness of public sector open data were canvassed. Defects and unawareness might prevent or retard the utilization of public sector’s data. Public sector is collecting vast amount of data from various areas when performing public tasks. The major part of t

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Ponsimaa, P. (Petteri). "Discovering value for health with grocery shopping data." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201605221849.

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Food retailers are taking more active role in the customer value creation process and shifting their attention from the sale of goods to support customer’s value-creation to discover more innovative service-based business models. From customer data consumers may develop more responsible consumption behaviour, make more economical choices, and raise awareness on food healthiness. This exploratory study sets out to answer the question what value if any does the use of grocery shopping data bring to the customers. Using design science research, the thesis makes use of grocery purchase data avail

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Книги з теми "Public health Data processing"

Kenkyūjo, Tōkyō Toritsu Eisei. Eisei gyōsei jōhō shisutemu no kaihatsu ni kansuru kenkyū. Tōkyō: Tōkyō Toritsu Eisei Kenkyūjo, 2000.

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Montana. Legislature. Legislative Audit Division. Medicaid data review: Department of Public Health and Human Services. Helena, MT: Legislative Audit Division, 2007.

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Québec (Province). Ministère de la santé et des services sociaux. Direction des systèmes d'information. Informatisation du réseau de la santé et des services sociaux: Portrait. [Québec]: Gouvernement du Québec, Ministère de la santé et des services sociaux, Direction des systèmes d'information, 1990.

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Australian Institute of Health and Welfare. National health information model: Version 2. Canberra: Australian Institute of Health and Welfare, 2003.

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1951-, McLafferty Sara, ed. GIS and public health. 2nd ed. New York: The Guilford Press, 2012.

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Introduction to geographic information systems in public health. Gaithersburg, Md: Aspen Publishers, 2002.

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Basile, Kathleen C. Sexual violence surveillance: Uniform definitions and recommended data elements. Atlanta, Ga: Centers for Disase Control and Prevention, National Center for Injury Prevention and Control, 2009.

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Частини книг з теми "Public health Data processing"

Li, Zhenlong, Zhipeng Gui, Barbara Hofer, Yan Li, Simon Scheider, and Shashi Shekhar. "Geospatial Information Processing Technologies." In Manual of Digital Earth, 191–227. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9915-3_6.

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Abstract The increasing availability of geospatial data offers great opportunities for advancing scientific discovery and practices in society. Effective and efficient processing of geospatial data is essential for a wide range of Digital Earth applications such as climate change, natural hazard prediction and mitigation, and public health. However, the massive volume, heterogeneous, and distributed nature of global geospatial data pose challenges in geospatial information processing and computing. This chapter introduces three technologies for geospatial data processing: high-performance computing, online geoprocessing, and distributed geoprocessing, with each technology addressing one aspect of the challenges. The fundamental concepts, principles, and key techniques of the three technologies are elaborated in detail, followed by examples of applications and research directions in the context of Digital Earth. Lastly, a Digital Earth reference framework called discrete global grid system (DGGS) is discussed.

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Natsiavas, Pantelis, Nicos Maglaveras, and Vassilis Koutkias. "A Public Health Surveillance Platform Exploiting Free-Text Sources via Natural Language Processing and Linked Data: Application in Adverse Drug Reaction Signal Detection Using PubMed and Twitter." In Knowledge Representation for Health Care, 51–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55014-5_4.

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Nordberg, Ana. "Biobank and Biomedical Research: Responsibilities of Controllers and Processors Under the EU General Data Protection Regulation." In GDPR and Biobanking, 61–89. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49388-2_5.

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AbstractBiobanks are essential infrastructures in current health and biomedical research. Advanced scientific research increasingly relies on processing and correlating large amounts of genetic, clinical and behavioural data. These data are particularly sensitive in nature and the risk of privacy invasion and misuse is high. The EU General Data Protection Regulation (GDPR) developed and increased harmonisation, resulting in a framework in which the specific duties and obligations of entities processing personal data—controllers and processors—were defined. Biobanks, in the exercise of their functions, assume the role of controllers and/or processors and as such need to comply with a number of complex rules. This chapter analyses these rules in the light of Article 89 GDPR, which creates safeguards and derogations relating to ‘processing for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes’. It identifies key compliance challenges faced by biobanks as data controllers and processors, such as determining whether the GDPR is applicable and its intersection with other regulations; when a biobank should be considered controller and processor; and what are the main duties of biobanks as data controllers and processors and options for compliance.

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Dobrin, Adam. "Public Health Data." In Homicide Data Sources, 19–27. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19881-1_3.

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Flowers, Julian, and Katie Johnson. "Data Presentation." In Public Health Intelligence, 203–23. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28326-5_11.

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Chassang, Gauthier, Michael Hisbergues, and Emmanuelle Rial-Sebbag. "Research Biobanking, Personal Data Protection and Implementation of the GDPR in France." In GDPR and Biobanking, 257–76. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49388-2_14.

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AbstractSince 1978 and the initial French data protection law (Loi n°78-17 du 6 Janvier 1978), consecutive modifications regarding the protection of personal health data, especially in 2004, 2016 and 2018, set up a strict legal regime for processing sensitive personal data, including for research purposes. In recent years, French law has evolved proactively and in parallel with the work of the European Union (EU) on the preparation of what became the General Data Protection Regulation (GDPR), which has been in force since May 2018. This Chapter performs a state-of-art analysis (as of 1 July 2019) of the French legal framework for research biobanks and data protection rules applying to biobanking, in particular those related to data subjects’ rights and Article 89 of the GDPR. Firstly, it provides updated information about the national landscape of active research biobanks in France (Sect. 1). Secondly, it explores how the French law embodies the developments brought by the GDPR and how it envisages individuals’ rights in the context of research biobanking (Sects. 2 and 3). Thirdly, this Chapter analyses existing and potential national exemptions to individuals’ rights, including with regard to Article 89 GDPR, and how France conceives of processing activities of ‘public interest’ (Sect. 4). Finally, the authors address ongoing debates around bioethics law in France and argue for the creation of a specific Act focused on biobanking as a means of integrating, clarifying and developing not only data protection rules but also other activities related to samples, human or not, in a unique, operational and compact act (Sect. 5).

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Choisy, Marc, Philavanh Sitboulang, Malyvanh Vongpanhya, Chantalay Saiyavong, Bouaphanh Khamphaphongphanh, Bounlay Phommasack, Fabrice Quet, Yves Buisson, Jean-Daniel Zucker, and Wilbert van Pahuis. "Rescuing Public Health Data." In Socio-Ecological Dimensions of Infectious Diseases in Southeast Asia, 171–90. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-527-3_11.

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Füller, Henning. "Biosecuring public health." In Big Data, Surveillance and Crisis Management, 81–97. 1 Edition. | New York : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315638423-5.

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Malley, Brian, Daniele Ramazzotti, and Joy Tzung-yu Wu. "Data Pre-processing." In Secondary Analysis of Electronic Health Records, 115–41. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43742-2_12.

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Rassia, Stamatina Th. "Research Data Collection." In SpringerBriefs in Public Health, 33–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53444-2_6.

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Тези доповідей конференцій з теми "Public health Data processing"

Setyowati, Maryani, and Vilda Ana Viera Setyawati. "Implementation of Maternal Health Data Processing of Computerization for Preventing the Case of Maternal Mortality by Midwives at Puskesmas in Supporting SDG's Achievements." In The 2nd International Symposium of Public Health. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0007511502020208.

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Budiningsari, R. Dwi, and Ika Ratna Palupi. "Knowledge, Attitude and Practice on Food Hygiene and Sanitation, Optimistic Bias of Food Handlers, and their Association with Participation in Food Safety Training at A Hospital in Yogyakarta." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.04.13.

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Background: Incompatible sanitation hygiene practice during food processing in hospitals is possible due to optimism bias. This bias occurs when food handlers perceive that they are unlikely to cause foodborne illness. There is a lack of studies into this phenomenon. This study aimed to analyze knowledge, attitude, and practice of sanitation hygiene and the optimistic bias of food handlers and their relationship with participation in food safety training. Subjects and Method: This was a cross-sectional study conducted in April to May, 2019. A sample consisting of all food handlers during

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Landa, Beinish. "Public Health as a Social Issue: The Role of Digital Technologies Originating from the Internet & Big Data Era." In The Public/Private in Modern Civilization, the 22nd Russian Scientific-Practical Conference (with international participation) (Yekaterinburg, April 16-17, 2020). Liberal Arts University – University for Humanities, Yekaterinburg, 2020. http://dx.doi.org/10.35853/ufh-public/private-2020-69.

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Digitalisation is gradually penetrating all spheres of society The rationale for this study is the unprecedented measures taken by the President and the Government of the Russian Federation to encourage the population to engage in physical education and sport in order to preserve and improve health and increase the life expectancy of Russians. Federal targeted programmes have made it possible to build and commission thousands of modern sports complexes. The study was primarily aimed at the elaboration and implementation of a technique of digital information and diagnostic support of mass healt

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Dewantara, Bayu Putra, Bhisma Murti, and Vitri Widyaningsih. "Factors Affecting the Use of Personal Protective Equipment among Workers at A Plywood Plants, in Lumajang, East Java: Application of Health Belief Model and Social Cognitive Theory." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the6thicph.02.50.

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Background: By products of wood processing such as wood dust and noise are well known with respect to occupational health effects in workers at plywood plants. Previous studies suggested that workers in sawmills, plywood/particle board factories, and veneer plants are at risk of developing allergenic disorders, lung disease, and cancer. Employers have duties concerning the provision and use of personal protective equipment (PPE) at work. PPE is equipment that will protect the user against the risk of accidents or of adverse effects on health. This study aimed to investigate factors affecting t

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Chowdhury, Souma, and Ali Mehmani. "Optimal Metamodeling to Interpret Activity-Based Health Sensor Data." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68385.

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Wearable sensors are revolutionizing the health monitoring and medical diagnostics arena. Algorithms and software platforms that can convert the sensor data streams into useful/actionable knowledge are central to this emerging domain, with machine learning and signal processing tools dominating this space. While serving important ends, these tools are not designed to provide functional relationships between vital signs and measures of physical activity. This paper investigates the application of the metamodeling paradigm to health data to unearth important relationships between vital signs and

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Han, Zhuoyang, Ang Li, and Yu Sun. "An Automated Data-Driven Prediction of Product Pricing Based on Covid-19 Case Number using Data Mining and Machine Learning." In 9th International Conference on Natural Language Processing (NLP 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101420.

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In early 2020, a global outbreak of Corona Disease Virus 2019 (Covid-19) emerged as an acute respiratory infectious Disease with high infectivity and incidence. China imposed a blockade on the worst affected city of Wuhan at the end of January 2020, and over time, covid19 spread rapidly around the world and was designated pandemic by the World Health Organization on March 11. As the epidemic spread, the number of confirmed cases and the number of deaths in countries around the world are changing day by day. Correspondingly, the price of face masks, as important epidemic prevention materials, i

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Li, Xue, Xin Zhao, and Mingyang Zhong. "Advancing public health genomics." In 2016 International Workshop on Big Data and Information Security (IWBIS). IEEE, 2016. http://dx.doi.org/10.1109/iwbis.2016.7872883.

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Katsis, Yannis, Nikos Koulouris, Yannis Papakonstantinou, and Kevin Patrick. "Assisting Discovery in Public Health." In SIGMOD/PODS'17: International Conference on Management of Data. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3077257.3077269.

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Anisetti, Marco, Valerio Bellandi, Marco Cremonini, Ernesto Damiani, and Jonatan Maggesi. "Big data platform for public health policies." In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2017. http://dx.doi.org/10.1109/uic-atc.2017.8397457.

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Potash, Eric, Joe Brew, Alexander Loewi, Subhabrata Majumdar, Andrew Reece, Joe Walsh, Eric Rozier, Emile Jorgenson, Raed Mansour, and Rayid Ghani. "Predictive Modeling for Public Health." In KDD '15: The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2783258.2788629.

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McCabe, Ashleigh. Description of the MHS Health Level 7 Pharmacy Intravenous Data for Public Health Surveillance. Fort Belvoir, VA: Defense Technical Information Center, November 2009. http://dx.doi.org/10.21236/ada596897.

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McCabe, Ashleigh. Description of the MHS Health Level 7 Pharmacy Outpatient Data for Public Health Surveillance. Fort Belvoir, VA: Defense Technical Information Center, October 2009. http://dx.doi.org/10.21236/ada597305.

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McCabe, Ashleigh. Description of the MHS Health Level 7 Pharmacy Unit-Dose Data for Public Health Surveillance. Fort Belvoir, VA: Defense Technical Information Center, November 2009. http://dx.doi.org/10.21236/ada596834.

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Dague, Laura, Thomas DeLeire, Donna Friedsam, Daphne Kuo, Lindsey Leininger, Sarah Meier, and Kristen Voskuil. Estimates of Crowd-Out from a Public Health Insurance Expansion Using Administrative Data. Cambridge, MA: National Bureau of Economic Research, May 2011. http://dx.doi.org/10.3386/w17009.

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Wetmore, Alan, and Thomas DeFelice. ARL Support and Analysis to the Army Public Health Command Kabul Air Quality Data Collection (Spring 2014). Fort Belvoir, VA: Defense Technical Information Center, May 2016. http://dx.doi.org/10.21236/ad1011920.

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Zinn, Zachary. Surveillance and the ‘New Normal’ of Covid-19: Public Health, Data, and Justice | Social Science Research Council. Social Science Research Council, February 2021. http://dx.doi.org/10.35650/ssrc.2080.d.2021.

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Ama Pokuaa, Fenny, Aba Obrumah Crentsil, Christian Kwaku Osei, and Felix Ankomah Asante. Fiscal and Public Health Impact of a Change in Tobacco Excise Taxes in Ghana. Institute of Development Studies (IDS), November 2020. http://dx.doi.org/10.19088/ictd.2020.003.

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This working paper predicts the fiscal and public health outcomes from a change in the excise tax structure for cigarettes in Ghana. More than 5,000 people are killed by diseases caused by tobacco every year in Ghana (Tobacco Atlas 2018). Currently the country has a unitary tax administration approach, with a uniform ad valorem tax structure on all excisable products, including tobacco. However, the ECOWAS directive on tobacco control, in line with the WHO Framework Convention on Tobacco Control (WHO 2003), recommends a simple tax structure – using a mixed excise system with a minimum specific

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Wiecha, Jean L., and Mary K. Muth. Agreements Between Public Health Organizations and Food and Beverage Companies: Approaches to Improving Evaluation. RTI Press, January 2021. http://dx.doi.org/10.3768/rtipress.2021.op.0067.2101.

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Efforts in the United States and abroad to address the chronic disease epidemic have led to the emergence of voluntary industry agreements as a substitute for regulatory approaches to improve the healthfulness of foods and beverages. Because of the lack of access to data and limited budgets, evaluations of these agreements have often been limited to process evaluation with less focus on outcomes and impact. Increasing scientific scope and rigor in evaluating voluntary food and beverage industry agreements would improve potential public health benefits and understanding of the effects of these

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Kowalski, Amanda. What Do Longitudinal Data on Millions of Hospital Visits Tell us About The Value of Public Health Insurance as a Safety Net for the Young and Privately Insured? Cambridge, MA: National Bureau of Economic Research, January 2015. http://dx.doi.org/10.3386/w20887.

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Cuesta, Ana, Lucia Delgado, Sebastián Gallegos, Benjamin Roseth, and Mario Sánchez. Increasing the Take-up of Public Health Services: An Experiment on Nudges and Digital Tools in Uruguay. Inter-American Development Bank, July 2021. http://dx.doi.org/10.18235/0003397.

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In this paper, we test whether promoting digital government tools increases the take-up of an important public health prevention service: cervical cancer screening. We implemented an at-scale field experiment in Uruguay, randomly encouraging women to make medical appointments with a digital application or reminding them to do it as usual at their local clinic. Using administrative records, we found that the digital application nearly doubled attendance of a screening appointment compared to reminders and tripled the rate compared to a pure control group (3.2 percentage point increase over a ba

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