Introduction to Statistical Methods for Biosurveillance PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Introduction to Statistical Methods for Biosurveillance PDF full book. Access full book title Introduction to Statistical Methods for Biosurveillance by Ronald D. Fricker. Download full books in PDF and EPUB format.
Author: Ronald D. Fricker
Publisher: Cambridge University Press
ISBN: 0521191343
Category : Mathematics
Languages : en
Pages : 417
Get Book
Book Description
Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.
Author: Ronald D. Fricker
Publisher: Cambridge University Press
ISBN: 0521191343
Category : Mathematics
Languages : en
Pages : 417
Get Book
Book Description
Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.
Author: Ronald D. Fricker
Publisher:
ISBN: 9781107326408
Category :
Languages : en
Pages :
Get Book
Book Description
Author: Ronald D. Fricker (Jr.)
Publisher:
ISBN: 9781107332218
Category : Public health surveillance
Languages : en
Pages : 418
Get Book
Book Description
Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.
Author: Ronald D. Fricker
Publisher: Cambridge University Press
ISBN: 1107328063
Category : Medical
Languages : en
Pages : 417
Get Book
Book Description
Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance system should identify trends not visible to individual physicians and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic investigation, quantification, localization and outbreak management. This book discusses the design and evaluation of statistical methods for effective biosurveillance for readers with minimal statistical training. Weaving public health and statistics together, it presents basic and more advanced methods, with a focus on empirically demonstrating added value. Although the emphasis is on epidemiologic and syndromic surveillance, the statistical methods can be applied to a broad class of public health surveillance problems.
Author: Michael M. Wagner
Publisher: Elsevier
ISBN: 9780080459998
Category : Computers
Languages : en
Pages : 624
Get Book
Book Description
Provides a coherent and comprehensive account of the theory and practice of real-time human disease outbreak detection, explicitly recognizing the revolution in practices of infection control and public health surveillance. Reviews the current mathematical, statistical, and computer science systems for early detection of disease outbreaks Provides extensive coverage of existing surveillance data Discusses experimental methods for data measurement and evaluation Addresses engineering and practical implementation of effective early detection systems Includes real case studies
Author: Daniel Zeng
Publisher: Springer Science & Business Media
ISBN: 144196892X
Category : Medical
Languages : en
Pages : 488
Get Book
Book Description
This book on Infectious Disease Informatics (IDI) and biosurveillance is intended to provide an integrated view of the current state of the art, identify technical and policy challenges and opportunities, and promote cross-disciplinary research that takes advantage of novel methodology and what we have learned from innovative applications. This book also fills a systemic gap in the literature by emphasizing informatics driven perspectives (e.g., information system design, data standards, computational aspects of biosurveillance algorithms, and system evaluation). Finally, this book attempts to reach policy makers and practitioners through the clear and effective communication of recent research findings in the context of case studies in IDI and biosurveillance, providing “hands-on” in-depth opportunities to practitioners to increase their understanding of value, applicability, and limitations of technical solutions. This book collects the state of the art research and modern perspectives of distinguished individuals and research groups on cutting-edge IDI technical and policy research and its application in biosurveillance. The contributed chapters are grouped into three units. Unit I provides an overview of recent biosurveillance research while highlighting the relevant legal and policy structures in the context of IDI and biosurveillance ongoing activities. It also identifies IDI data sources while addressing information collection, sharing, and dissemination issues as well as ethical considerations. Unit II contains survey chapters on the types of surveillance methods used to analyze IDI data in the context of public health and bioterrorism. Specific computational techniques covered include: text mining, time series analysis, multiple data streams methods, ensembles of surveillance methods, spatial analysis and visualization, social network analysis, and agent-based simulation. Unit III examines IT and decision support for public health event response and bio-defense. Practical lessons learned in developing public health and biosurveillance systems, technology adoption, and syndromic surveillance for large events are discussed. The goal of this book is to provide an understandable interdisciplinary IDI and biosurveillance reference either used as a standalone textbook or reference for students, researchers, and practitioners in public health, veterinary medicine, biostatistics, information systems, computer science, and public administration and policy.
Author: Taha Kass-Hout
Publisher: CRC Press
ISBN: 9781439800478
Category : Mathematics
Languages : en
Pages : 380
Get Book
Book Description
As evidenced by the anthrax attacks in 2001, the SARS outbreak in 2003, and the H1N1 influenza pandemic in 2009, a pathogen does not recognize geographic or national boundaries, often leading to devastating consequences. Automated biosurveillance systems have emerged as key solutions for mitigating current and future health-related events. Focusing on this promising public health innovation, Biosurveillance: Methods and Case Studies discusses how these systems churn through vast amounts of health-related data to support epidemiologists and public health officials in the early identification, situation awareness, and response management of natural and man-made health-related events. The book follows a natural sequence from theory to application. The initial chapters build a foundation while subsequent chapters present more applied case studies from around the world, including China, the United States, Denmark, and the Asia-Pacific region. The contributors share candid, first-hand insights on lessons learned and unresolved issues that will help chart the future of biosurveillance. As this book illustrates, biosurveillance operates in a complex, multidimensional problem space that incorporates varied data. Capturing the progress of modern-day pioneers who are walking in John Snow’s footsteps, this volume shows how contemporary information technology can be applied to the age-old challenge of combating the spread of disease and illness.
Author: Ding-Geng (Din) Chen
Publisher: Springer
ISBN: 3319185365
Category : Medical
Languages : en
Pages : 351
Get Book
Book Description
The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1118745116
Category : Mathematics
Languages : en
Pages : 670
Get Book
Book Description
Praise for the First Edition "…[t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics." -MAA Reviews Thoroughly updated throughout, Introduction to Time Series Analysis and Forecasting, Second Edition presents the underlying theories of time series analysis that are needed to analyze time-oriented data and construct real-world short- to medium-term statistical forecasts. Authored by highly-experienced academics and professionals in engineering statistics, the Second Edition features discussions on both popular and modern time series methodologies as well as an introduction to Bayesian methods in forecasting. Introduction to Time Series Analysis and Forecasting, Second Edition also includes: Over 300 exercises from diverse disciplines including health care, environmental studies, engineering, and finance More than 50 programming algorithms using JMP®, SAS®, and R that illustrate the theory and practicality of forecasting techniques in the context of time-oriented data New material on frequency domain and spatial temporal data analysis Expanded coverage of the variogram and spectrum with applications as well as transfer and intervention model functions A supplementary website featuring PowerPoint® slides, data sets, and select solutions to the problems Introduction to Time Series Analysis and Forecasting, Second Edition is an ideal textbook upper-undergraduate and graduate-levels courses in forecasting and time series. The book is also an excellent reference for practitioners and researchers who need to model and analyze time series data to generate forecasts.
Author: Mangey Ram
Publisher: CRC Press
ISBN: 0429575807
Category : Technology & Engineering
Languages : en
Pages : 335
Get Book
Book Description
In recent years, mathematics has experienced amazing growth in the engineering sciences. Mathematics forms the common foundation of all engineering disciplines. This book provides a comprehensive range of mathematics applied in various fields of engineering for different tasks such as civil engineering, structural engineering, computer science, and electrical engineering, among others. It offers chapters that develop the applications of mathematics in engineering sciences, conveys the innovative research ideas, offers real-world utility of mathematics, and has a significance in the life of academics, practitioners, researchers, and industry leaders. Features Focuses on the latest research in the field of engineering applications Includes recent findings from various institutions Identifies the gaps in the knowledge in the field and provides the latest approaches Presents international studies and findings in modeling and simulation Offers various mathematical tools, techniques, strategies, and methods across different engineering fields
