Early Warning for Infectious Disease Outbreak

Part 1: Theories and Key Technologies of Infectious Disease Early Warning

Introduction to Theories and Key Technologies of Infectious Disease Early Warning

Chapter 1: Introduction

• Abstract
• 1.1 Basic Terminologies: Surveillance, Early Warning, and Prediction
• 1.2 A Conceptual Framework for Early Warning
• 1.3 Setting of Early Warning Targets
• 1.4 Early Warning Data Collection
• 1.5 Early Warning Data Analysis
• 1.6 Early Warning Information Delivery and Dissemination
• 1.7 Early Warning Responses
• 1.8 Evaluating Early Warning Systems
• 1.9 Early Warning Classification
• 1.10 Case-Based Early Warning
• 1.11 Event-Based Early Warning
• 1.12 Lab-Based Early Warning
• 1.13 Syndromic Surveillance-Based Early Warning
• 1.14 Status Quo and Surveillance and Early Warning Trends for Infectious Diseases
• 1.15 Early Warning Technology and Systems for Infectious Diseases in China
• 1.16 Trends in Early Warning Technology

Chapter 2: Infectious Disease Surveillance in China

• Abstract
• 2.1 Introduction
• 2.2 Infectious Disease Surveillance in China
• 2.3 Public Health Emergency Event Surveillance

Chapter 3: Development of Early Warning Models

• Abstract
• 3.1 Types of Early Warning Models
• 3.2 Principles of Common Early Warning Models
• 3.3 Statistical Methods for Evaluating Models

Chapter 4: Response to Early Warning Signals

• Abstract
• 4.1 Investigation and Verification of Early Warning Signals
• 4.2 Risk Assessment
• 4.3 Report and Dissemination of Early Warning
• 4.4 Preventive and Control Measures

Chapter 5: Development of Early Warning Information Systems

• Abstract
• 5.1 Principles
• 5.2 Investigation Phase
• 5.3 System Design
• 5.4 System Framework and Basic Function
• 5.5 System Implementation
• 5.6 System Evaluation

Chapter 6: Evaluation of Early Warning Systems

• Abstract
• 6.1 Evaluation on Goals of Early Warning System
• 6.2 Evaluation on Information-Gathering Process
• 6.3 Evaluation on Data Analysis
• 6.4 Evaluation on Information Dissemination
• 6.5 Evaluation on Early Warning Response
• 6.6 Impact Evaluation on Early Warning System
• 6.7 Evaluation on Administration for Early Warning System

Part 2: Practices and Implementation of Early Warning

Introduction to Practices and Implementation of Early Warning

Chapter 7: China Infectious Diseases Automated-Alert and Response System (CIDARS)

• Abstract
• 7.1 History of Development
• 7.2 CIDARS Design Framework
• 7.3 Targeted Diseases and Methodology for CIDARS
• 7.4 Dissemination of Early Warning Signals
• 7.5 Warning Signal Response
• 7.6 Functions for CIDARS Management
• 7.7 Analysis of CIDARS Application Outcomes
• 7.8 Major Features of CIDARS
• 7.9 Challenges and the Future Directions

Chapter 8: Infectious Disease Surveillance and Early Warning System During Beijing Olympic Games

• Abstract
• 8.1 Objectives of BOG-IDSS
• 8.2 Framework of BOG-IDSS
• 8.3 Determining the Subjects of Surveillance
• 8.4 Data Collection
• 8.5 Early Warning Analysis and Verification
• 8.6 System Operation Results
• 8.7 System Effectiveness Evaluation

Chapter 9: Pudong Syndromic Surveillance and Early Warning System During the EXPO 2010, Shanghai

• Abstract
• 9.1 System Objective
• 9.2 System Establishment
• 9.3 Analysis of Surveillance Data
• 9.4 Analysis of Early Warning Results
• 9.5 System Evaluation

Chapter 10: Infectious Disease Surveillance and Early Warning After the Magnitude 8.0 Earthquake in China, 2008

• Abstract
• 10.1 Background
• 10.2 Postearthquake Epidemic Disease Risk Assessment
• 10.3 Postearthquake Enhanced Emergency Surveillance System
• 10.4 Postearthquake Infectious Disease Early Warning
• 10.5 Summary

Chapter 11: Practical Application of an Infectious Disease Early Warning System in Baiyin City, Gansu Province, China

• Abstract
• 11.1 Introduction
• 11.2 Methods
• 11.3 Operational Workflow
• 11.4 Outcomes of System Operation
• 11.5 Discussions

Chapter 12: Early Warning Practice Using Internet-Based Data

• Abstract
• 12.1 Introduction of Surveillance Using Internet-Based Data
• 12.2 Necessity of Surveillance Using Internet-Based Data in China
• 12.3 Basis of Surveillance Using Internet-Based Data in China
• 12.4 Implementation of Surveillance Using Internet-Based Data in China
• 12.5 Outcome of Surveillance Using Internet-Based Data in China

Part 3: Exploratory Research on Early Warning Technology

Introduction to Exploratory Research on Early Warning Technology

Chapter 13: Biased Sentinel Hospital Area Disease Estimator

• Abstract
• 13.1 Means of Surface With Nonhomogeneity: MSN Method
• 13.2 Estimating Area Disease Prevalence Based on Sentinel Surveillance Data: B-SHADE Method

Chapter 14: Applicability of Hospital-Based Respiratory and Gastrointestinal Syndromic Data for Early Warning

• Abstract
• 14.1 Study Questions
• 14.2 Study Design
• 14.3 Results
• 14.4 Discussion

Chapter 15: Early Detection for Hand, Foot, and Mouth Disease Outbreaks

• Abstract
• 15.1 Adjusting Outbreak Detection Algorithms for Seasonality
• 15.2 Impact of Incidence Level on Outbreak Detection Algorithms
• 15.3 Parameters Optimization for Spatial Scan Statistic Method

Chapter 16: Study on Performance Comparison of Temporal Models

• Abstract
• 16.1 Early Warning Performance Comparison of RCM and MPM
• 16.2 Performance Comparison of Early Warning Methods Based on Long and Short Baseline Data
• 16.3 Performance Comparison of MPM Based on Different Parameters

Chapter 17: The Study on Modified Spatial Scan Statistic

• Abstract
• 17.1 Introduction
• 17.2 The Isotonic Spatial Scan Statistic
• 17.3 The Spatial Scan Statistic for Multilevel Risk Cluster
• 17.4 Performance Evaluation
• 17.5 A Real Case Study
• 17.6 Discussion

Chapter 18: Environmental Factors-Based Early Warning

• Abstract
• 18.1 Ecological Factors-Based Early Warning Study on Dengue Fever
• 18.2 Spatiotemporal Analysis of Meteorological Elements Related to Infectious Diseases