Disease modelling and public health. Part A (2017)

• Record Type: Book
• Further Information: Note: Edited by Arni S.R. Srinivasa Rao, Saumyadipta Pye, and C.R. Rao.
• Editors: Rao, Arni S. R. Srinivasa; Payne, Saumyadipta; Rao, C. R
• Contents: ""Front Cover""; ""Disease Modelling and Public Health""; ""Copyright""; ""Contents""; ""Contributors""; ""Preface""; ""Section I: Introduction and Disease Modeling""; ""Chapter 1: Fundamentals of Mathematical Models of Infectious Diseases and Their Application to Data Analyses""; ""1. Introduction: Fundamentals of Infectious Disease Dynamical Models""; ""1.1. Population Dynamics of Biological Populations""; ""1.2. Infectious Disease Spread Models, or Theoretical Epidemiology""; ""1.3. Important Concepts in Infectious Disease Epidemiology"" ""1.4. Important Concepts From Dynamical Models of Infectious Diseases""""2. Analyses of Whole Population: Macroscopic Analyses""; ""2.1. Data Description""; ""2.2. Simple Regression Analysis""; ""2.3. The Effect of School Closure""; ""2.4. Incorporating Exposed Phase: SEIR Model""; ""2.5. Distributions of Latent and Infectious Periods""; ""2.6. Multiple Subgroups and Generation Matrix""; ""3. Stochastic Model of Infectious Disease Spread: Microscopic Model Considering Each Class""; ""3.1. Analyses for Counted Data""; ""3.2. Modeling the Reporting Delay"" ""3.3. Modeling the Transition of Infectious Diseases""""3.4. Reconstruction of the Values of State Variables of the System""; ""3.5. Analysis and Simulation, and the Validity of the Model""; ""4. An Analysis of Spatial Distribution""; ""4.1. Location of Schools""; ""4.2. Estimating Transition Kernel""; ""4.3. Influence of the Network of Transmission""; ""5. Conclusion""; ""References""; ""Further Reading""; ""Chapter 2: Dynamic Risk Prediction for Cardiovascular Disease: An Illustration Using the ARIC Study""; ""1. Introduction""; ""2. Landmarking""; ""2.1. The Landmarking Method"" ""2.2. Dynamic Prediction""""3. Joint Models""; ""3.1. Model Specification""; ""3.2. Estimation""; ""3.3. Dynamic Prediction""; ""4. Assessing Predictive Performance""; ""4.1. Area Under the Receiver Operating Characteristic Curve""; ""4.2. Brier Score""; ""5. Example: The ARIC Study""; ""6. Discussion""; ""Acknowledgments""; ""References""; ""Chapter 3: Statistical Models for Selected Infectious Diseases""; ""1. Common Cold and Asthma Exacerbation""; ""2. Influenza""; ""2.1. Surveillance and Estimates of the Center for Disease Control and Prevention"" ""2.2. Influenza and Respiratory Syncytial Virus in the United States""""2.3. Measles and Influenza Outbreaks""; ""2.4. SIRS and Hierarchical Bayesian Models""; ""2.5. Autoregressive and Bayesian Models for the Spread of Influenza""; ""2.6. Correlation of Surveillance Systems and Information Environment""; ""2.7. The Delphi System""; ""3. Tuberculosis""; ""3.1. Statistical Models for TB Incidence, Prevalence, and Mortality Estimates""; ""3.2. Mathematical Models""; ""3.3. Regression and Bayesian Models""; ""3.4. Statistical Relational Models for Structured Epidemiological Characteristics""
• Publisher Details: Amsterdam, Netherlands : North Holland is an imprint of Elsevier
• Publication Date: 2017
• Extent: 1 online resource
• Subjects: 614.4072/7; Epidemiology -- Statistical methods; Diseases -- Statistical methods; MEDICAL / Forensic Medicine; MEDICAL / Preventive Medicine; MEDICAL / Public Health; Electronic books
• Languages: English
• ISBNs: 9780444639691; 0444639691
• Related ISBNs: 9780444639684
• Notes: Note: Online resource; title from PDF title page (ScienceDirect, viewed October 20, 2017).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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