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Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance. Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective.

Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues. Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense). The book concludes with a discussion of critical issues and challenges, with a look to future directions.

This book is an excellent source of current information for researchers in public health and IT. Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.




Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance.  Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective.

Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues.  Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense).  The book concludes with a discussion of critical issues and challenges, with a look to future directions.

This book is an excellent source of current information for researchers in public health and IT.  Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.




Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance.  Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective.

Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues.  Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense).  The book concludes with a discussion of critical issues and challenges, with a look to future directions.

This book is an excellent source of current information for researchers in public health and IT.  Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.


Content:
Front Matter....Pages i-xxii
Front Matter....Pages 1-1
Infectious Disease Informatics: An Introduction and An Analysis Framework....Pages 3-8
Public Health Syndromic Surveillance Systems....Pages 9-31
Syndromic Surveillance Data Sources and Collection Strategies....Pages 33-48
Data Analysis and Outbreak Detection....Pages 49-72
Data Visualization, Information Dissemination, and Alerting....Pages 73-87
System Assessment and Evaluation....Pages 89-103
Front Matter....Pages 105-108
BioSense....Pages 109-119
RODS....Pages 121-131
BioPortal....Pages 133-145
ESSENCE....Pages 147-155
New York City Syndromic Surveillance Systems....Pages 157-165
EARS....Pages 167-175
Argus....Pages 177-181
HealthMap....Pages 183-186
Challenges and Future Directions....Pages 187-189
Back Matter....Pages 191-209


Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance.  Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective.

Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues.  Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense).  The book concludes with a discussion of critical issues and challenges, with a look to future directions.

This book is an excellent source of current information for researchers in public health and IT.  Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.


Content:
Front Matter....Pages i-xxii
Front Matter....Pages 1-1
Infectious Disease Informatics: An Introduction and An Analysis Framework....Pages 3-8
Public Health Syndromic Surveillance Systems....Pages 9-31
Syndromic Surveillance Data Sources and Collection Strategies....Pages 33-48
Data Analysis and Outbreak Detection....Pages 49-72
Data Visualization, Information Dissemination, and Alerting....Pages 73-87
System Assessment and Evaluation....Pages 89-103
Front Matter....Pages 105-108
BioSense....Pages 109-119
RODS....Pages 121-131
BioPortal....Pages 133-145
ESSENCE....Pages 147-155
New York City Syndromic Surveillance Systems....Pages 157-165
EARS....Pages 167-175
Argus....Pages 177-181
HealthMap....Pages 183-186
Challenges and Future Directions....Pages 187-189
Back Matter....Pages 191-209
....
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