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Author: Joseph Publisher: Publishers ISBN: 9781805283126 Category : Languages : en Pages : 0
Book Description
Utilizing Big Data Analytics for Public Health Surveillance" by Joseph is a comprehensive guide to the use of big data analytics in the field of public health. The book is designed to help readers understand the potential benefits of big data analytics in public health surveillance, and how it can be used to improve health outcomes. The author begins by defining big data and its applications in public health, highlighting the various types of data that can be collected and analyzed. He then explores the role of big data analytics in disease surveillance, outbreak detection, and monitoring of public health trends. The author also discusses the importance of data privacy and security in the context of big data analytics. The book provides a detailed overview of the different tools and techniques used in big data analytics, such as machine learning algorithms, predictive modeling, and data visualization. The author also discusses the challenges associated with big data analytics, such as data quality issues, the need for interdisciplinary collaboration, and the importance of data interpretation. One of the most significant contributions of the book is its practical application of big data analytics in various public health domains. The author provides case studies on the use of big data analytics in infectious disease surveillance, chronic disease management, and population health monitoring. These examples demonstrate the potential impact of big data analytics on public health, including the ability to detect outbreaks early, target interventions to high-risk populations, and improve health outcomes. Overall, "Utilizing Big Data Analytics for Public Health Surveillance" is an essential resource for public health professionals, researchers, and policymakers interested in understanding the potential of big data analytics in improving public health outcomes. The author's clear and concise writing style, combined with practical case studies, make the book accessible and informative to a wide range of readers.
Author: Joseph Publisher: Publishers ISBN: 9781805283126 Category : Languages : en Pages : 0
Book Description
Utilizing Big Data Analytics for Public Health Surveillance" by Joseph is a comprehensive guide to the use of big data analytics in the field of public health. The book is designed to help readers understand the potential benefits of big data analytics in public health surveillance, and how it can be used to improve health outcomes. The author begins by defining big data and its applications in public health, highlighting the various types of data that can be collected and analyzed. He then explores the role of big data analytics in disease surveillance, outbreak detection, and monitoring of public health trends. The author also discusses the importance of data privacy and security in the context of big data analytics. The book provides a detailed overview of the different tools and techniques used in big data analytics, such as machine learning algorithms, predictive modeling, and data visualization. The author also discusses the challenges associated with big data analytics, such as data quality issues, the need for interdisciplinary collaboration, and the importance of data interpretation. One of the most significant contributions of the book is its practical application of big data analytics in various public health domains. The author provides case studies on the use of big data analytics in infectious disease surveillance, chronic disease management, and population health monitoring. These examples demonstrate the potential impact of big data analytics on public health, including the ability to detect outbreaks early, target interventions to high-risk populations, and improve health outcomes. Overall, "Utilizing Big Data Analytics for Public Health Surveillance" is an essential resource for public health professionals, researchers, and policymakers interested in understanding the potential of big data analytics in improving public health outcomes. The author's clear and concise writing style, combined with practical case studies, make the book accessible and informative to a wide range of readers.
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 0309450144 Category : Medical Languages : en Pages : 99
Book Description
With the amount of data in the world exploding, big data could generate significant value in the field of infectious disease. The increased use of social media provides an opportunity to improve public health surveillance systems and to develop predictive models. Advances in machine learning and crowdsourcing may also offer the possibility to gather information about disease dynamics, such as contact patterns and the impact of the social environment. New, rapid, point-of-care diagnostics may make it possible to capture not only diagnostic information but also other potentially epidemiologically relevant information in real time. With a wide range of data available for analysis, decision-making and policy-making processes could be improved. While there are many opportunities for big data to be used for infectious disease research, operations, and policy, many challenges remain before it is possible to capture the full potential of big data. In order to explore some of the opportunities and issues associated with the scientific, policy, and operational aspects of big data in relation to microbial threats and public health, the National Academies of Sciences, Engineering, and Medicine convened a workshop in May 2016. Participants discussed a range of topics including preventing, detecting, and responding to infectious disease threats using big data and related analytics; varieties of data (including demographic, geospatial, behavioral, syndromic, and laboratory) and their broader applications; means to improve their collection, processing, utility, and validation; and approaches that can be learned from other sectors to inform big data strategies for infectious disease research, operations, and policy. This publication summarizes the presentations and discussions from the workshop.
Author: Tarun Weeramanthri Publisher: Frontiers Media SA ISBN: 2889455017 Category : Languages : en Pages : 149
Book Description
Precision Public Health is a new and rapidly evolving field, that examines the application of new technologies to public health policy and practice. It draws on a broad range of disciplines including genomics, spatial data, data linkage, epidemiology, health informatics, big data, predictive analytics and communications. The hope is that these new technologies will strengthen preventive health, improve access to health care, and reach disadvantaged populations in all areas of the world. But what are the downsides and what are the risks, and how can we ensure the benefits flow to those population groups most in need, rather than simply to those individuals who can afford to pay? This is the first collection of theoretical frameworks, analyses of empirical data, and case studies to be assembled on this topic, published to stimulate debate and promote collaborative work.
Author: Anand J. Kulkarni Publisher: Springer Nature ISBN: 3030316726 Category : Technology & Engineering Languages : en Pages : 187
Book Description
This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.
Author: Institute of Medicine Publisher: National Academies Press ISBN: 0309111145 Category : Medical Languages : en Pages : 284
Book Description
Early detection is essential to the control of emerging, reemerging, and novel infectious diseases, whether naturally occurring or intentionally introduced. Containing the spread of such diseases in a profoundly interconnected world requires active vigilance for signs of an outbreak, rapid recognition of its presence, and diagnosis of its microbial cause, in addition to strategies and resources for an appropriate and efficient response. Although these actions are often viewed in terms of human public health, they also challenge the plant and animal health communities. Surveillance, defined as "the continual scrutiny of all aspects of occurrence and spread of a disease that are pertinent to effective control", involves the "systematic collection, analysis, interpretation, and dissemination of health data." Disease detection and diagnosis is the act of discovering a novel, emerging, or reemerging disease or disease event and identifying its cause. Diagnosis is "the cornerstone of effective disease control and prevention efforts, including surveillance." Disease surveillance and detection relies heavily on the astute individual: the clinician, veterinarian, plant pathologist, farmer, livestock manager, or agricultural extension agent who notices something unusual, atypical, or suspicious and brings this discovery in a timely way to the attention of an appropriate representative of human public health, veterinary medicine, or agriculture. Most developed countries have the ability to detect and diagnose human, animal, and plant diseases. Global Infectious Disease Surveillance and Detection: Assessing the Challenges-Finding Solutions, Workshop Summary is part of a 10 book series and summarizes the recommendations and presentations of the workshop.
Author: Poonam Tanwar Publisher: Emerald Group Publishing ISBN: 1839090995 Category : Business & Economics Languages : en Pages : 392
Book Description
Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.
Author: Michael J. Paul Publisher: Morgan & Claypool Publishers ISBN: 1681730960 Category : Computers Languages : en Pages : 185
Book Description
Public health thrives on high-quality evidence, yet acquiring meaningful data on a population remains a central challenge of public health research and practice. Social monitoring, the analysis of social media and other user-generated web data, has brought advances in the way we leverage population data to understand health. Social media offers advantages over traditional data sources, including real-time data availability, ease of access, and reduced cost. Social media allows us to ask, and answer, questions we never thought possible. This book presents an overview of the progress on uses of social monitoring to study public health over the past decade. We explain available data sources, common methods, and survey research on social monitoring in a wide range of public health areas. Our examples come from topics such as disease surveillance, behavioral medicine, and mental health, among others. We explore the limitations and concerns of these methods. Our survey of this exciting new field of data-driven research lays out future research directions.
Author: Katherine Marconi Publisher: CRC Press ISBN: 1482229250 Category : Business & Economics Languages : en Pages : 374
Book Description
This book provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, it includes case studies that illustrate the business processes that underlie the use of big data and health analytics to improve health care delivery.
Author: Annika Richterich Publisher: University of Westminster Press ISBN: 1911534734 Category : Social Science Languages : en Pages : 156
Book Description
This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.
Author: Molly K. Land Publisher: Cambridge University Press ISBN: 1107179637 Category : Computers Languages : en Pages : 333
Book Description
Provides a roadmap for understanding the relationship between technology and human rights law and practice. This title is also available as Open Access.
Author: Joseph
Author: Joseph
Author: National Academies of Sciences, Engineering, and Medicine
Author: Tarun Weeramanthri
Author: Anand J. Kulkarni
Author: Institute of Medicine
Author: Poonam Tanwar
Author: Michael J. Paul
Author: Katherine Marconi
Author: Annika Richterich
Author: Molly K. Land