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76 reviewsWith the worldwide awareness of bioterrorism and drug-resistant infectious diseases, the need for surveillance systems to accurately detect emerging epidemicsis essential for maintaining global safety. Responding to these issues, Disease Surveillance brings together fifteen eminent researchers in the fields of medicine, epidemiology, biostatistics, and medical informatics to define the necessary elements of an effective disease surveillance program, including research, development, implementation, and operations. The surveillance systems and techniques presented in the text are designed to best utilize modern technology, manage emerging public health threats, and adapt to environmental changes.
Following a historical overview detailing the need for disease surveillance systems, the text is divided into the following three parts:
Part One sets forth the informatics knowledge needed to implement a disease surveillance system, including a discussion of data sources currently used in syndromic surveillance systems.
Part Two provides case studies of modern disease surveillance systems, including cases that highlight implementation and operational difficulties as well as the successes experienced by health departments in the United States, Canada, Europe, and Asia.
Part Three addresses practical issues concerning the evaluation of disease surveillance systems and the education of future informatics and disease surveillance practitioners. It also assesses how future technology will shape the field of disease surveillance.
This book's multidisciplinary approach is ideal for public health professionals who need to understand all the facets within a disease surveillance program and implement the technology needed to support surveillance activities. An outline of the components needed for a successful disease surveillance system combined with extensive use of case studies makes this book well-suited as a textbook for public health informatics coursesContent:
Chapter 1 Disease Surveillance, a Public Health Priority (pages 1–39):
Chapter 2 Understanding the Data: Health Indicators in Disease Surveillance (pages 41–90):
Chapter 3 Obtaining the Data (pages 91–142):
Chapter 4 Alerting Algorithms for Biosurveillance (pages 143–192):
Chapter 5 Putting It Together: The Biosurveillance Information System (pages 193–261):
Chapter 6 Modern Disease Surveillance Systems in Public Health Practice (pages 263–302):
Chapter 7 Canadian Applications of Modern Surveillance Informatics (pages 303–333):
Chapter 8 Case Study: Use of Tele?health Data for Syndromic Surveillance in England and Wales (pages 335–365):
Chapter 9 Surveillance for Emerging Infection Epidemics in Developing Countries: EWORS and Alerta DISAMAR (pages 367–396):
Chapter 10 Evaluating Automated Surveillance Systems (pages 397–423):
Chapter 11 Educating the Workforce: Public Health Informatics Training (pages 425–441):
Chapter 12 The Road Ahead: The Expanding Role of Informatics in Disease Surveillance (pages 443–454):