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Author : Ronald D. Fricker
Publisher : Unknown
Page : 128 pages
File Size : 53,9 Mb
Release : 2013
Category : Electronic
ISBN : 1107326400
Author : Ronald D. Fricker
Publisher : Cambridge University Press
Page : 417 pages
File Size : 41,9 Mb
Release : 2013-02-25
Category : Mathematics
ISBN : 9780521191340
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 (Jr.)
Publisher : Unknown
Page : 418 pages
File Size : 50,5 Mb
Release : 2013
Category : Public health surveillance
ISBN : 1107332214
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
Page : 128 pages
File Size : 48,7 Mb
Release : 2013-02-25
Category : Medical
ISBN : 9781107328068
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,Andrew W. Moore,Ron M. Aryel
Publisher : Elsevier
Page : 624 pages
File Size : 45,9 Mb
Release : 2011-04-28
Category : Computers
ISBN : 0080459994
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 : Ding-Geng (Din) Chen,Jeffrey Wilson
Publisher : Springer
Page : 351 pages
File Size : 53,7 Mb
Release : 2015-08-31
Category : Medical
ISBN : 9783319185361
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 : Mangey Ram
Publisher : CRC Press
Page : 335 pages
File Size : 54,7 Mb
Release : 2020-03-17
Category : Technology & Engineering
ISBN : 9780429575808
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
Author : Douglas C. Montgomery,Cheryl L. Jennings,Murat Kulahci
Publisher : John Wiley & Sons
Page : 670 pages
File Size : 49,7 Mb
Release : 2015-04-27
Category : Mathematics
ISBN : 9781118745113
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 : Sven Knoth,Wolfgang Schmid
Publisher : Springer Nature
Page : 410 pages
File Size : 49,6 Mb
Release : 2021-05-15
Category : Mathematics
ISBN : 9783030678562
This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.
Author : Andrew B. Lawson
Publisher : CRC Press
Page : 464 pages
File Size : 41,7 Mb
Release : 2018-05-20
Category : Mathematics
ISBN : 9781351271752
Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. In addition to the new material, the book also covers more conventional areas such as relative risk estimation, clustering, spatial survival analysis, and longitudinal analysis. After an introduction to Bayesian inference, computation, and model assessment, the text focuses on important themes, including disease map reconstruction, cluster detection, regression and ecological analysis, putative hazard modeling, analysis of multiple scales and multiple diseases, spatial survival and longitudinal studies, spatiotemporal methods, and map surveillance. It shows how Bayesian disease mapping can yield significant insights into georeferenced health data. The target audience for this text is public health specialists, epidemiologists, and biostatisticians who need to work with geo-referenced health data.
Author : Nigel G Fielding,Raymond M Lee,Grant Blank
Publisher : SAGE
Page : 685 pages
File Size : 41,8 Mb
Release : 2016-09-30
Category : Reference
ISBN : 9781473959309
This best-selling handbook has been brought fully up-to-date with coverage of recent developments in the field including social media, big data, data visualization and CAQDAS.
Author : Steven E Rigdon,Ronald D. Fricker, Jr.
Publisher : CRC Press
Page : 217 pages
File Size : 45,8 Mb
Release : 2020-01-31
Category : Mathematics
ISBN : 9781351725026
With COVID-19 sweeping across the globe with near impunity, it is thwarting governments and health organizations efforts to contain it. Not since the 1918 Spanish Flu have citizens of developed countries experienced such a large-scale disease outbreak that is having devastating health and economic impacts. One reason such outbreaks are not more common has been the success of the public health community, including epidemiologists and biostatisticians, in identifying and then mitigating or eliminating the outbreaks. Monitoring the Health of Populations by Tracking Disease Outbreaks: Saving Humanity from the Next Plague is the story of the application of statistics for disease detection and tracking. The work of public health officials often crucially depends on statistical methods to help discern whether an outbreak may be occurring and, if there is sufficient evidence of an outbreak, then to locate and track it. Statisticians also help collect critical information, and they analyze the resulting data to help investigators zero in on a cause for a disease. With the recent outbreaks of diseases such as swine and bird flu, Ebola, and now COVID-19, the role that epidemiologists and biostatisticians play is more important than ever. Features: · Discusses the crucial roles of statistics in early disease detection. · Outlines the concepts and methods of disease surveillance. · Covers surveillance techniques for communicable diseases like Zika and chronic diseases such as cancer. · Gives real world examples of disease investigations including smallpox, syphilis, anthrax, yellow fever, and microcephaly (and its relationship to the Zika virus). Via the process of identifying an outbreak, finding its cause, and developing a plan to prevent its reoccurrence, this book tells the story of how medical and public health professionals use statistics to help mitigate the effects of disease. This book will help readers understand how statisticians and epidemiologists help combat the spread of such diseases in order to improve public health across the world.
Author : Taha Kass-Hout,Xiaohui Zhang
Publisher : CRC Press
Page : 380 pages
File Size : 51,7 Mb
Release : 2010-11-09
Category : Mathematics
ISBN : 1439800472
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 : Scott McNabb,J Mark Conde,Lisa Ferland,William Macwright,Ziad Memish,Stacy Okutani,Meeyoung Park,Paige Ryland,Affan Shaikh,Vivek Singh
Publisher : Elsevier Health Sciences
Page : 455 pages
File Size : 43,5 Mb
Release : 2016-05-02
Category : Medical
ISBN : 9780702066214
Public Health Surveillance (PHS) is of primary importance in this era of emerging health threats like Ebola, MERS-CoV, influenza, natural and man-made disasters, and non-communicable diseases. Transforming Public Health Surveillance is a forward-looking, topical, and up-to-date overview of the issues and solutions facing PHS. It describes the realities of the gaps and impediments to efficient and effective PHS, while presenting a vision for its possibilities and promises in the 21st century. The book gives a roadmap to the goal of public health information being available, when it is needed and where it is needed. Led by Professor Scott McNabb, a leader in the field, an international team of the top-notch public health experts from academia, government, and non-governmental organizations provides the most complete and current update on this core area of public health practice in a decade in 32 chapters. This includes the key roles PHS plays in achieving the global health security agenda and health equity. The authors provide a global perspective for students and professionals in public health. Seven scenarios lay out an aid to understand the context for the lessons of the book, and a comprehensive glossary, questions, bullet points, and learning objectives make this book an excellent tool in the classroom.
Author : Xinguang Chen,(Din) Ding-Geng Chen
Publisher : Springer Nature
Page : 420 pages
File Size : 52,5 Mb
Release : 2020-04-13
Category : Medical
ISBN : 9783030352608
This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.