基本説明
A holistic approach to real-time human disease outbreak detection. Reviews the current mathematical, statistical, and computer science systems for early detection of disease outbreaks.
Full Description
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.
Contents
PART IChapter 1: IntroductionChapter 2: Outbreaks and InvestigationsChapter 3: Case Detection, Outbreak Detection, and Outbreak CharacterizationChapter 4: Functional Requirements for BiosurveillancePART II: ORGANIZATIONS THAT CONDUCT BIOSURVEILLANCE AND THE DATA THEY COLLECTChapter 5: Governmental Public HealthChapter 6: The Healthcare SystemChapter 7: Animal HealthChapter 8: LaboratoriesChapter 9: Water SuppliersChapter 10: Food and Pharmaceutical IndustriesChapter 11: Coroners and Medical ExaminersChapter 12: Other Organizations That Conduct BiosurveillancePART III: DATA ANALYSISChapter 13: Case Detection AlgorithmsChapter 14: Classical Time-Series Methods for BiosurveillanceChapter 15: Combining Multiple Signals for BiosurveillanceChapter 16: Methods for Detecting Spatial and Spatio-Temporal ClustersChapter 17: Natural Language Processing for BiosurveillanceChapter 18: Bayesian Methods for Diagnosing OutbreaksChapter 19: Atmospheric Dispersion Modeling in BiosurveillanceChapter 20: Methods for Algorithm EvaluationChapter 21: Methods for Evaluating Surveillance DataChapter 22: Sales of Over-the-Counter Healthcare ProductsChapter 23: Chief Complaints and ICD CodesChapter 24: AbsenteeismChapter 25: Emergency Call CentersChapter 26: The Internet as SentinelChapter 27: Physiologic and Space-Based SensorsChapter 28: Data NOS (Not Otherwise Specified)PART V: DECISION MAKINGChapter 29: Decision AnalysisChapter 30: Probabilistic Interpretation of Surveillance DataChapter 31: Economic Studies in BiosurveillancePART VI: BUILDING AND FIELD TESTING BIOSURVEILLANCE SYSTEMSChapter 32: Information Technology Standards in BiosurveillanceChapter 33: ArchitectureChapter 34: Advancing Organizational Integration: Negotiation, Data Use Agreements, Law and EthicsChapter 35: Other Design and Implementation IssuesChapter 36: Project ManagementChapter 37: Methods for Field Testing of Biosurveillance SystemsEpilogue: The Future of BiosurveillanceAPPENDICESCDCa"c Severe Acute Respiratory SyndromeSample Questionnaire/SurveySurveillance Data TablesDerivation of BayesaEURO (TM) RulePredictive Value Positive and NegativeData Communication to RODS: Technical SpecificationsData Use AgreementDepartment of Health Authorized Use Agreement for Clinical DataNational Retail Data Monitor/RODS Account Access AgreementData Security AgreementaEURO"PersonnelData Use Agreement with Commercial Data ProviderGlossaryIndex
