Read more
Zusatztext . . . this volume is a timely addition to the field of public health surveillance. The editors are to be commended for assembling it for use by academic and practicing public health scientists engaged in population-based health monitoring. Klappentext Public health faces critical challenges ranging from outbreaks of new and old pathogens to the threat of bioterrorism and the impact of lifestyle and environmental changes on health. Modern tools of health surveillance and sound statistical practices are essential for meeting these challengesand providing accurate warnings about real public health threats without wasting resources on false alarms. Advances in statistical techniques, computing power and the Internet have led to many new approaches to monitoring population health, analyzing the data, and rapidly sharing it.This text explores the critical issues in the statistical analysis and interpretation of public health surveillance data. It covers statistical methods for detecting disease outbreaks and clusters, the use of survey methods, interpreting time trends and geographic patterns, exploratory statisticalanalysis of surveillance data, and web-based health reporting systems for the rapid detection of public health problems, among other topics. The methodological approaches are illustrated in discussions of several current public health issues, including the HIV/AIDS epidemic, anthrax, health effectsof particulate air pollution, and trends in prostate cancer. The methods are broadly applicable to surveillance systems and registries for numerous health conditions, e.g. infectious diseases, chronic diseases, adverse drug reactions.The book provides numerous illustrations, worked examples, and practical information for actually implementing the methods. It will serve as a reference for public health practitioners and as a textbook for courses on disease surveillance taken by students of statistics biostatistics, epidemiologyor public health. Zusammenfassung Advances in statistical techniques, computing power and the Internet have led to an explosion of new approaches to monitoring population health, analyzing the data, and rapidly sharing it. This text explores the critical issues in the statistical analysis and interpretations of health surveillance data. Inhaltsverzeichnis Foreword by Stephen B. Thacker and Jeffrey P. Koplan 1: Donna F. Stroup, Ron Brookmeyer, William D. Kalsbeek: Public Health Surveillance in Action: A Framework 2: William D. Kalsbeek (University of North Carolina): The Use of Surveys in Public Health Surveillance: Monitoring High Risk Populations 3: Owen Devine (Centers for Disease Control): Exploring Temporal and Spatial Patterns in Public Health Surveillance Data 4: Theodore R. Holford (Yale University): Temporal Factors in Public Health Surveillance: Sorting Out Age, Period, and Cohort Effects 5: Ron Brookmeyer: Temporal Factors in Epidemics: The Role of the Incubation Period 6: Ruth Etzioni, Larry Kessler, Dante di Tommaso (Fred Hutchinson Cancer Research Center, all): Using Public Health Data to Evaluate Screening Programs: Application to Prostate Cancer 7: Lance A. Waller (Emory University): Detecting Disease Clustering in Time or Space 8: Paddy Farrington, Nick Andrews (PF: The Open University, UK; NA: Communicalble Disease Surveillance Center, UK): Outbreak Detection: Application to Infectious Disease Surveillance 9: Peter Diggle, Leo Knorr-Held, Barry Rowlington, Ting-li Su, Peter Hawtin, Trevor Bryant (Lancaster University, all except TB, who is with the University of Southampton): On-line Monitoring of Public Health Surveillance Data 10: Scott L. Zeger, Francesca Dominici, Aidan McDermott, Jonathan M. Samet (Johns Hopkins University, all): Bayesian Hierarchical Modeling of Public Health Surveillance Data: A Case Study of Air Pollution and Morality 11: Andrew Lawson (University of South Carolina): Som...
