Early Warning for Infectious Disease Outbreak
Theory and Practice
- 1st Edition - April 26, 2017
- Author: Weizhong Yang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 2 3 4 3 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 2 4 8 3 - 3
Early Warning for Infectious Disease Outbreak: Theory and Practice is divided into three parts, with the first section introducing basic theory and key technologies of early war… Read more
Early Warning for Infectious Disease Outbreak: Theory and Practice is divided into three parts, with the first section introducing basic theory and key technologies of early warning and the basic principles of infectious disease surveillance. The second section introduces the technical details in the process of establishment, operation and usage of CIDARS and Pudong Syndromic Surveillance and the Early Warning System of the Shanghai World Expo.
The third part explores the study of early warning technology, collecting some useful exploration in the fields of infectious diseases involving sentinel setting, data analysis, influence factors study, calculation and evaluation of early warning models.
- Provide insights into the theory and practice of early warning systems that have been evaluated and shown to be effective
- Presents a synopsis of current state-of-the-art practices and a starting point for the development and evaluation of new methods
- Covers applied research and complete case studies that focus on local, regional, national and international implementation
- Includes techniques from other fields, such as intelligence and engineering
- Explores future innovations in biosurveillance, including advances in analytical methods, modeling and simulation
- Addresses policy and organizational issues related to the construction of biosurveillance systems
Researchers, scholars and public health staff in the fields of communicable disease control. Especially to the users in design, implementation, and use of infectious disease surveillance and early warning system. Frontline public health practitioners, hospital epidemiologists, infection control practitioners, laboratorians in public health settings, infectious disease researchers, and medical and public health informaticians interested in a concise overview of infectious disease surveillance
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
- Edition: 1
- Published: April 26, 2017
- Language: English
WY
Weizhong Yang
Professor Yang Weizhong committed himself to the study and practice of infectious disease surveillance and early warning, from 2002 began to lead the research team to carry out the research of early warning technology, and successfully established China's first nationwide infectious diseases automated-alert and response system. Main members of writing group of this book are from the research team, who have gained much research outputs practical experiences in the process of study and work practices, making a solid foundation for compiling this book. In recent years, the research outputs of early warning research and application effect of infectious disease conducted by this team were accepted by international Journals, such as Journal of the American Medical Informatics Association, Bulletin of the World Health Organization, BMC Infectious Diseases, PloS One, and so on, receiving highly valued and widely recognized.
Affiliations and expertise
Professor, Deputy director of Chinese Center for Disease Control and Prevention, Secretary-General of Chinese Preventive Medicine AssociationRead Early Warning for Infectious Disease Outbreak on ScienceDirect