Chen / Zeng / Yan Infectious Disease Informatics

Syndromic Surveillance for Public Health and Bio-Defense
1. Auflage 2010
ISBN: 978-1-4419-1278-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 21, 210 Seiten

Reihe: Integrated Series in Information Systems

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.

Autoren/Hrsg.

Chen, Hsinchun

Zeng, Daniel

Yan, Ping

Inhaltsverzeichnis

1;TABLE OF CONTENTS;5
2;PREFACE Introduction;9
3;Scope and Organization;10
4;Audience;12
5;AUTHOR BIOGRAPHIES;13
6;ACKNOWLEDGMENTS;16
7;LIST OF FIGURES;17
8;LIST OF TABLES;20
9;Part I SYNDROMIC SURVEILLANCE SYSTEMS;21
9.1;Chapter 1 INFECTIOUS DISEASE INFORMATICS: AN INTRODUCTION AND AN ANALYSIS FRAMEWORK;22
9.2;Chapter 2 PUBLIC HEALTH SYNDROMIC SURVEILLANCE SYSTEMS;28
9.2.1;1. SUMMARY OF NATIONWIDE SYNDROMIC SURVEILLANCE SYSTEMS;29
9.2.2;2. SUMMARY OF SYNDROMIC SURVEILLANCE SYSTEMS AT THE LOCAL, COUNTY, AND STATE LEVELS;36
9.2.3;3. SUMMARY OF INDUSTRIAL SOLUTIONS FOR SYNDROMIC SURVEILLANCE;44
9.2.4;4. SUMMARY OF INTERNATIONAL SYNDROMIC SURVEILLANCE PROJECTS;46
9.2.5;5. SYNDROMIC SURVEILLANCE FOR SPECIAL EVENTS;48
9.3;Chapter 3 SYNDROMIC SURVEILLANCE DATA SOURCES AND COLLECTION STRATEGIES;51
9.3.1;1. DATA SOURCES FOR PUBLIC HEALTH SYNDROMIC SURVEILLANCE;51
9.3.2;1.1 Comparison of Data Sources;55
9.3.3;2. STANDARDIZED VOCABULARIES;60
9.3.4;2.1 Existing Data Standards Used in Syndromic Surveillance;61
9.3.5;3. DATA ENTRY AND DATA TRANSMISSION;64
9.3.6;3.1 Data Entry Approaches;65
9.3.7;3.2 Secure Data Transmission;65
9.4;Chapter 4 DATA ANALYSIS AND OUTBREAK DETECTION;67
9.4.1;1. SYNDROME CLASSIFICATION;67
9.4.2;1.1 Syndrome Classification Approaches;69
9.4.3;1.2 Performance of Syndrome Classification Approaches;72
9.4.4;2. A TAXONOMY OF OUTBREAK DETECTION METHODS;73
9.4.5;2.1 Retrospective vs. Prospective Syndromic Surveillance;73
9.4.6;2.2 Temporal, Spatial, and Spatial-Temporal Outbreak Detection Methods;74
9.4.7;3. TEMPORAL DATA ANALYSIS;79
9.4.8;3.1 Statistical Process Control (SPC)-Based Anomaly Detection Detection Detection;79
9.4.9;z;80
9.4.10;3.2 Serfling Statistic;80
9.4.11;( );81
9.4.12;2 );81
9.4.13;2 );81
9.4.14;52;81
9.4.15;52;81
9.4.16;y t t;81
9.4.17;c;81
9.4.18;c;81
9.4.19;c;81
9.4.20;t t c c c;81
9.4.21;c c;81
9.4.22;3.3 Autoregressive Model-Based Anomaly Detection;81
9.4.23;3.4 Hidden Markov Model (HMM)-Based Models;82
9.4.24;4. SPATIAL DATA ANALYSIS;83
9.4.25;( ) ) s;84
9.4.26;(;84
9.4.27;);84
9.4.28;);84
9.4.29;s;84
9.4.30;s;84
9.4.31;s;84
9.4.32;4.1 Algorithm Generalized Linear Mixed Models and SMART;84
9.4.33;4.2 Spatial Scan Statistic and Its Variations;85
9.4.34;4.3 Risk-Adjusted Support Vector Clustering (RSVC) Algorithm;87
9.4.35;5. SPATIAL-TEMPORAL DATA ANALYSIS 5.1 Rule- Based Anomaly Detection with Bayesian Network Modeling;87
9.4.36;5.2 Population-Wide Anomaly Detection and Assessment ( PANDA);88
9.4.37;6. MONITORING MULTIPLE DATA STREAMS;88
9.4.38;7. SPECIAL EVENTS SURVEILLANCE;89
9.4.39;8. SUMMARY OF DATA ANALYSIS PROCESS FOR SYNDROMIC SURVEILLANCE;90
9.5;Chapter 5 DATA VISUALIZATION, INFORMATION DISSEMINATION, AND ALERTING;91
9.5.1;1. SCOPE AND TAXONOMY;92
9.5.2;2. VISUAL INFORMATION DISPLAY;92
9.5.3;2.1 2.1 2.1 2.1 2.1 2.1;93
9.5.4;2.2 Visualization of Spatial Information;95
9.5.5;2.3 GIS for Disease Event Visualization;97
9.5.6;2.4 Spatial-Temporal Disease Modeling and Other Visualization Examples;101
9.5.7;3. INTERACTIVE VISUAL DATA EXPLORATION;102
9.5.8;4. SUMMARY OF DATA VISUALIZATION IN SYNDROMIC SURVEILLANCE APPLICATIONS;103
9.5.9;5. INFORMATION DISSEMINATION AND REPORTING;104
9.6;Chapter 6 SYSTEM ASSESSMENT AND EVALUATION;106
9.6.1;1. SYNDROMIC SURVEILLANCE SYSTEM EVALUATION FRAMEWORK;107
9.6.2;2. EVALUATION OF OUTBREAK DETECTION ALGORITHMS 2.1 Evaluation Methodology;108
9.6.3;2.2 Real Data Testing;108
9.6.4;2.3 Fully Synthetic Data Testing;109
9.6.5;2.4 Semisynthetic Data Testing;111
9.6.6;2.5 Evaluation Metrics for Outbreak Detection Algorithms;112
9.6.7;t;115
9.6.8;2.6 Summary of Representative Evaluation Studies;115
9.6.9;3. EVALUATION OF DATA COLLECTION AND INFORMATION DISSEMINATION COMPONENTS;118
9.6.10;4. ASSESSMENT OF INTERFACE FEATURES AND SYSTEM USABILITY 4.1 System Usability Evaluation Methodology;118
9.6.11;4.2 System Usability Evaluation Metrics;119
9.6.12;4.3 Summary of System Usability Evaluation Studies;119
9.6.13;5. SUMMARY AND DISCUSSION;120
10;Part II SYNDROMIC SURVEILLANCE SYSTEM CASE STUDIES;121
10.1;Chapter 7 BIOSENSE;125
10.1.1;1. BIOSENSE DATA COLLECTION AND PREPROCESSING;128
10.1.2;2. BIOSENSE DATA ANALYSIS;129
10.1.3;3. BIOSENSE DATA VISUALIZATION, INFORMATION DISSEMINATION, AND REPORTING;130
10.1.4;4. CASE STUDY: MONITORING HEALTH EFFECTS OF WILDFIRES USING BIOSENSE;132
10.1.5;5. FURTHER READINGS;135
10.2;Chapter 8 RODS;136
10.2.1;1. RODS DATA COLLECTION;137
10.2.2;2. RODS DATA ANALYSIS;139
10.2.3;3. RODS VISUALIZATION, INFORMATION DISSEMINATION, AND REPORTING;141
10.2.4;4. CASE STUDY: SYNDROMIC SURVEILLANCE WITH RODS FOR THE 2002 WINTER OLYMPICS;143
10.2.5;5. FURTHER READINGS;146
10.3;Chapter 9 BIOPORTAL;147
10.3.1;1. BIOPORTAL DATA COLLECTION;149
10.3.2;2. BIOPORTAL DATA ANALYSIS;149
10.3.3;3. BIOPORTAL VISUALIZATION, INFORMATION DISSEMINATION, AND REPORTING;150
10.3.4;4. CASE STUDY: FOOT-AND-MOUTH DISEASE SITUATIONAL AWARENESS;156
10.3.5;5. FURTHER READINGS;158
10.4;Chapter 10 ESSENCE;160
10.4.1;1. ESSENCE DATA COLLECTION;162
10.4.2;2. ESSENCE DATA ANALYSIS AND SYSTEM EVALUATION;163
10.4.3;3. ESSENCE INTERFACE, INFORMATION DISSEMINATION, AND REPORTING;165
10.4.4;4. FURTHER READINGS;168
10.5;Chapter 11 NEW YORK CITY SYNDROMIC SURVEILLANCE SYSTEMS;169
10.5.1;1. NYC ED SYNDROMIC SURVEILLANCE SYSTEM DATA COLLECTION;170
10.5.2;2. NYC ED SYNDROMIC SURVEILLANCE SYSTEM DATA ANALYSIS AND FIELD INVESTIGATIONS;171
10.5.3;3. NYC ED SYNDROMIC SURVEILLANCE SYSTEM VISUALIZATION, INFORMATION DISSEMINATION, AND REPORTING;172
10.5.4;4. CASE STUDY: RESPIRATORY ILLNESS SYNDROMIC SYSTEMS IN NEW YORK CITY SURVEILLANCE USING MULTIPLE;174
10.5.5;5. FURTHER READINGS;176
10.6;Chapter 12 EARS;178
10.6.1;1. EARS DATA COLLECTION AND DATA PREPROCESSING;179
10.6.2;2. KEY EARS ABERRATION DETECTION METHODS;180
10.6.3;3. EARS VISUALIZATION, INFORMATION DISSEMINATION, AND REPORTING;182
10.6.4;4. CASE STUDY: POSTHURRICANE PUBLIC HEALTH SURVEILLANCE WITH EARS;184
10.6.5;5. FURTHER READINGS;185
10.7;Chapter 13 ARGUS;187
10.8;Chapter 14 HEALTHMAP;192
10.9;Chapter 15 CHALLENGES AND FUTURE DIRECTIONS;196
10.9.1;1. CHALLENGES FOR SYNDROMIC SURVEILLANCE RESEARCH;196
10.9.2;2. SUMMARY AND FUTURE DIRECTIONS;197
10.9.3;REFERENCES;199
10.9.4;SUBJECT INDEXES;215