Download or read book Computational Epidemiology written by Ellen Kuhl and published by Springer Nature. This book was released on 2021-09-22 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.
Download or read book Computational Epidemiology written by Jiming Liu and published by Springer Nature. This book was released on 2020-09-18 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to computational epidemiology, highlighting its major methodological paradigms throughout the development of the field while emphasizing the needs for a new paradigm shift in order to most effectively address the increasingly complex real-world challenges in disease control and prevention. Specifically, the book presents the basic concepts, related computational models, and tools that are useful for characterizing disease transmission dynamics with respect to a heterogeneous host population. In addition, it shows how to develop and apply computational methods to tackle the challenges involved in population-level intervention, such as prioritized vaccine allocation. A unique feature of this book is that its examination on the issues of vaccination decision-making is not confined only to the question of how to develop strategic policies on prioritized interventions, as it further approaches the issues from the perspective of individuals, offering a well integrated cost-benefit and social-influence account for voluntary vaccination decisions. One of the most important contributions of this book lies in it offers a blueprint on a novel methodological paradigm in epidemiology, namely, systems epidemiology, with detailed systems modeling principles, as well as practical steps and real-world examples, which can readily be applied in addressing future systems epidemiological challenges. The book is intended to serve as a reference book for researchers and practitioners in the fields of computer science and epidemiology. Together with the provided references on the key concepts, methods, and examples being introduced, the book can also readily be adopted as an introductory text for undergraduate and graduate courses in computational epidemiology as well as systems epidemiology, and as training materials for practitioners and field workers.
Download or read book Microbial Threats to Health written by Institute of Medicine and published by National Academies Press. This book was released on 2003-08-25 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Infectious diseases are a global hazard that puts every nation and every person at risk. The recent SARS outbreak is a prime example. Knowing neither geographic nor political borders, often arriving silently and lethally, microbial pathogens constitute a grave threat to the health of humans. Indeed, a majority of countries recently identified the spread of infectious disease as the greatest global problem they confront. Throughout history, humans have struggled to control both the causes and consequences of infectious diseases and we will continue to do so into the foreseeable future. Following up on a high-profile 1992 report from the Institute of Medicine, Microbial Threats to Health examines the current state of knowledge and policy pertaining to emerging and re-emerging infectious diseases from around the globe. It examines the spectrum of microbial threats, factors in disease emergence, and the ultimate capacity of the United States to meet the challenges posed by microbial threats to human health. From the impact of war or technology on disease emergence to the development of enhanced disease surveillance and vaccine strategies, Microbial Threats to Health contains valuable information for researchers, students, health care providers, policymakers, public health officials. and the interested public.
Download or read book Mathematical Tools for Understanding Infectious Disease Dynamics written by Odo Diekmann and published by Princeton University Press. This book was released on 2012-11-18 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided. Covers the latest research in mathematical modeling of infectious disease epidemiology Integrates deterministic and stochastic approaches Teaches skills in model construction, analysis, inference, and interpretation Features numerous exercises and their detailed elaborations Motivated by real-world applications throughout
Download or read book Mathematical Epidemiology written by Fred Brauer and published by Springer Science & Business Media. This book was released on 2008-04-30 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca).
Download or read book Mathematical Epidemiology of Infectious Diseases written by O. Diekmann and published by John Wiley & Sons. This book was released on 2000-04-07 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Epidemiology of Infectious Diseases Model Building, Analysis and Interpretation O. Diekmann University of Utrecht, The Netherlands J. A. P. Heesterbeek Centre for Biometry Wageningen, The Netherlands The mathematical modelling of epidemics in populations is a vast and important area of study. It is about translating biological assumptions into mathematics, about mathematical analysis aided by interpretation and about obtaining insight into epidemic phenomena when translating mathematical results back into population biology. Model assumptions are formulated in terms of, usually stochastic, behaviour of individuals and then the resulting phenomena, at the population level, are unravelled. Conceptual clarity is attained, assumptions are stated clearly, hidden working hypotheses are attained and mechanistic links between different observables are exposed. Features: * Model construction, analysis and interpretation receive detailed attention * Uniquely covers both deterministic and stochastic viewpoints * Examples of applications given throughout * Extensive coverage of the latest research into the mathematical modelling of epidemics of infectious diseases * Provides a solid foundation of modelling skills The reader will learn to translate, model, analyse and interpret, with the help of the numerous exercises. In literally working through this text, the reader acquires modelling skills that are also valuable outside of epidemiology, certainly within population dynamics, but even beyond that. In addition, the reader receives training in mathematical argumentation. The text is aimed at applied mathematicians with an interest in population biology and epidemiology, at theoretical biologists and epidemiologists. Previous exposure to epidemic concepts is not required, as all background information is given. The book is primarily aimed at self-study and ideally suited for small discussion groups, or for use as a course text.
Download or read book Innovative Internet Community Systems written by Thomas Böhme and published by Springer Science & Business Media. This book was released on 2006-04-03 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed postproceedings of the 4th International Workshop on Innovative Internet Community Systems, IICS 2004, held in Guadalajara, Mexico, in June 2004. The 25 revised full papers presented together with 2 invited papers have been carefully reviewed. They focus mainly on system-oriented problems, text processing, and theoretical foundations of distributed and Internet systems. They also deal with speed and quality-of-service problems of Internet protocols, aspects of cooperation and collaboration in Internet systems, as well as agent and text-processing-based methods. In addition, 9 papers stem from two mini-workshops, one on computational epidemiology and the other on optimization of urban traffic systems.
Download or read book Epidemics written by Ottar N. Bjørnstad and published by Springer. This book was released on 2018-10-30 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to be a practical study in infectious disease dynamics. The book offers an easy to follow implementation and analysis of mathematical epidemiology. The book focuses on recent case studies in order to explore various conceptual, mathematical, and statistical issues. The dynamics of infectious diseases shows a wide diversity of pattern. Some have locally persistent chains-of-transmission, others persist spatially in ‘consumer-resource metapopulations’. Some infections are prevalent among the young, some among the old and some are age-invariant. Temporally, some diseases have little variation in prevalence, some have predictable seasonal shifts and others exhibit violent epidemics that may be regular or irregular in their timing. Models and ‘models-with-data’ have proved invaluable for understanding and predicting this diversity, and thence help improve intervention and control. Using mathematical models to understand infectious disease dynamics has a very rich history in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of Epidemics: Models and Data using R have been organized in a reasonably logical way: Chapters 1-10 is a mix and match of models, data and statistics pertaining to local disease dynamics; Chapters 11-13 pertains to spatial and spatiotemporal dynamics; Chapter 14 highlights similarities between the dynamics of infectious disease and parasitoid-host dynamics; Finally, Chapters 15 and 16 overview additional statistical methodology useful in studies of infectious disease dynamics. This book can be used as a guide for working with data, models and ‘models-and-data’ to understand epidemics and infectious disease dynamics in space and time.
Download or read book Veterinary Epidemiology written by Michael Thrusfield and published by John Wiley & Sons. This book was released on 2018-04-30 with total page 901 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eine umfassende Einführung zur Rolle der Epidemiologie in der Veterinärmedizin. Die vollständig überarbeitete und erweiterte Ausgabe von Veterinary Epidemiology führt den Leser in das Fachgebiet der Veterinärepidemiologie ein. Diese neue Auflage bietet auch neue Kapitel zur Konzeption von Beobachtungsstudien, Validität von epidemiologischen Studien, zu systematischen Prüfungen und zu statistischen Modellen. Die aktualisierte Auflage beginnt mit einem historischen Blick auf die Entwicklung der Veterinärmedizin. Im Anschluss wird die Fachrichtung Epidemiologie umfassend beleuchtet. Kapitel befassen sich mit den Aspekten Kausalität, Auftreten von Krankheiten, Bestimmungsfaktoren, Krankheitsmustern, Krankheitsökologie u.v.m. Veterinary Epidemiology, 4. Auflage: - Alle Kapitel wurden aktualisiert. Entstanden ist ein modernes Referenzwerk zum Thema Veterinärepidemiologie. - Enthält neue Kapitel, die für die Entwicklung des Fachgebiets maßgeblich sind. - Bietet Beispiele zu Haustieren, Nutztieren und Vögeln sowie zu Krankheiten bei Wassertieren. - Richtet den Fokus auf Prinzipien und Konzepte der Epidemiologie, der Überwachung, der Validierung und Leistungsfähigkeit diagnostischer Tests. - Begleitende Website mit Multiple-Choice-Fragen.
Download or read book Ethics and Epidemiology written by Steven S. Coughlin and published by Oxford University Press. This book was released on 2021-07-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its first publication in 1996, Ethics and Epidemiology has been an invaluable resource for practicing public health professionals and MPH students around the world. This third edition presents an international perspective of prominent epidemiologists, ethicists, and legal scholars to address important ethical developments in epidemiology and related public health fields from the last decade, including the rise of public health ethics and the complex inter-relations between professional ethics in epidemiology, public health ethics, and research ethics. Ethics and Epidemiology, Third Edition is organized topically and divided into four parts covering "Foundations," "Key Values and Principles," "Methods," and "Issues." New or updated chapters include ethical issues in public health practice, ethical issues in genetic epidemiology, and ethical issues in international health research and epidemiology. Now updated with timely global examples, Ethics and Epidemiology, Third Edition provides an in-depth account to the theoretical and practical moral problems confronting public health students and professionals and offers guidance for how justified moral conclusions can be reached.
Download or read book Ethics and Epidemiology written by Steven Scott Coughlin and published by Oxford University Press. This book was released on 2009 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by epidemiologists, ethicists and legal scholars, this book provides an in-depth account of the moral problems that often confront epidemiologists, including both theoretical and practical issues. The first edition has sold almost three thousand copies since it was published in 1996. This edition is fully revised and includes three new chapters: Ethical Issues in Public Health Practice, Ethical Issues in Genetic Epidemiology, and Ethical Issues in International Health Research and Epidemiology. These chapters collectively address important developments of the past decade. Three chapters from the first edition have also been reorganized: Ethicall Optimized Study Deisgns in Epidemiology, Ethical Issues in Epidemiologic Research with Children, and The Ethics of Epidemiologic Research with Older Populations. Instead of standing alone, these chapters have been integrated into chapters on informed consent, confidentiality and privacy protection, and community-based intervention studies.
Download or read book Agents and Multi Agent Systems for Health Care written by Sara Montagna and published by Springer. This book was released on 2017-11-27 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains revised and extended selected papers from two workshops: the 10th International Workshop on Agents Applied in Health Care, A2HC 2017, held at the 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, held in São Paulo, Brazil, in May 2017, and the International Workshop on Agents and Multi-Agent Systems for AAL and e-Health, A-HEALTH 2017, held at the 15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017, in Porto, Portugal, in June 2017. The 9 revised full papers were carefully reviewed and selected from 16 submissions. They feature current research topics such as personalised health systems for remote and autonomous tele-assistance, communication and co-operation between distributed intelligent agents to manage patient care, information agents that retrieve medical information from distributed repositories, intelligent and distributed data mining, and multi-agent systems that assist the doctors in the tasks of monitoring, decision support and diagnosis.
Download or read book Big Data Analytics written by and published by Elsevier. This book was released on 2015-08-04 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applications. The volume of data is increasing at a phenomenal rate and a majority of it is unstructured. With big data, the volume is so large that processing it using traditional database and software techniques is difficult, if not impossible. The drivers are the ubiquitous sensors, devices, social networks and the all-pervasive web. Scientists are increasingly looking to derive insights from the massive quantity of data to create new knowledge. In common usage, Big Data has come to refer simply to the use of predictive analytics or other certain advanced methods to extract value from data, without any required magnitude thereon. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. While there are challenges, there are huge opportunities emerging in the fields of Machine Learning, Data Mining, Statistics, Human-Computer Interfaces and Distributed Systems to address ways to analyze and reason with this data. The edited volume focuses on the challenges and opportunities posed by "Big Data" in a variety of domains and how statistical techniques and innovative algorithms can help glean insights and accelerate discovery. Big data has the potential to help companies improve operations and make faster, more intelligent decisions. - Review of big data research challenges from diverse areas of scientific endeavor - Rich perspective on a range of data science issues from leading researchers - Insight into the mathematical and statistical theory underlying the computational methods used to address big data analytics problems in a variety of domains
Download or read book Bioterrorism written by H. T. Banks and published by SIAM. This book was released on 2003-01-01 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioterrorism: Mathematical Modeling Applications in Homeland Security collects the detailed contributions of selected groups of experts from the fields of biostatistics, control theory, epidemiology, and mathematical biology who have engaged in the development of frameworks, models, and mathematical methods needed to address some of the pressing challenges posed by acts of terror. The ten chapters of this volume touch on a large range of issues in the subfields of biosurveillance, agroterrorism, bioterror response logistics, deliberate release of biological agents, impact assessment, and the spread of fanatic behaviors.
Download or read book Philosophy of Psychiatry written by Sam Wilkinson and published by Taylor & Francis. This book was released on 2022-11-14 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first introductory textbook of its kind devoted to philosophy of psychiatry, offering a thorough and accessible investigation of the conceptual and philosophical problems at the heart of psychiatric practice and research. While it applies some of the long-standing concerns of philosophy to the mental health professions, it also investigates philosophical problems and issues that have arisen more recently from careful examination of psychiatric phenomena. Divided into two parts, Philosophy of Psychiatric Practice and Research and Philosophy and Psychopathology, the book’s 12 chapters cover topics like the ontological status of mental illness, philosophical issues in diagnosis, the role of culture in psychiatry and the relationship between mental illness and personal identity, as well as explore foundational problems in studying well-known psychopathologies like schizophrenia, depression and addiction. All chapters include initial overviews and concluding summaries and a list of suggested readings. Key Features Two-part structure – divided between (1) philosophy of psychiatric practice and research, and (2) philosophy and psychopathology – presents a clear, yet distinctive picture of the field Offers a unified style and vision throughout, with easy-to-follow segues from chapter to chapter Pedagogical features include chapter overviews and summaries, discussion questions and sections for further reading
Download or read book Fundamental Problems in Computing written by Sekharipuram S. Ravi and published by Springer Science & Business Media. This book was released on 2009-04-21 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Not applicable for bookstore catalogue
Download or read book Handbook of Computational Social Science Volume 1 written by Uwe Engel and published by Routledge. This book was released on 2021-11-10 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.