Disease Modelling and Public Health, Part B
Elsevier (Publisher)
Published on 31. October 2017
390 pages
978-0-444-63976-9 (ISBN)
Description
Handbook of Statistics: Disease Modelling and Public Health, Part B, Volume 37 addresses new challenges in existing and emerging diseases. As a two part volume, this title covers an extensive range of techniques in the field, with this book including chapters on Reaction diffusion equations and their application on bacterial communication, Spike and slab methods in disease modeling, Mathematical modeling of mass screening and parameter estimation, Individual-based and agent-based models for infectious disease transmission and evolution: an overview, and a section on Visual Clustering of Static and Dynamic High Dimensional Data.
This volume covers the lack of availability of complete data relating to disease symptoms and disease epidemiology, one of the biggest challenges facing vaccine developers, public health planners, epidemiologists and health sector researchers.
- Presents a comprehensive, two-part volume written by leading subject experts
- Provides a unique breadth and depth of content coverage
- Addresses the most cutting-edge developments in the field
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Arni S.R. Srinivasa Rao | Saumyadipta Pyne | C. R. Rao
Disease Modelling and Public Health, Part B: Volume 37
Book
10/2017
North-Holland
€229.03
Shipment within 15-20 days
Persons
Content
Section VI : Statistical Methodologies1. Imputation of Area-Level Covariates by Registry LinkingJ.S. Rao and Jie Fan2. Asymptotic Approaches to Discovering Cancer Genomic SignaturesMaciej Pietrzak and Grzegorz A. Rempala3. Emerging Statistical Methodologies in the Field of Microbiome StudiesSiddhartha Mandal
Section VII : Advanced Mathematical Methods4. Reaction-Diffusion Equations and Their Application on Bacterial CommunicationChristina Kuttler5. Hepatitis C Virus (HCV) Treatment as Prevention: Epidemic and Cost-Effectiveness ModelingNatasha K. Martin and Lara K. Marquez6. Mathematical Modeling of Mass Screening and Parameter EstimationMasayuki Kakehashi and Miwako Tsunematsu7. Inferring Patterns, Dynamics, and Model-Based Metrics of Epidemiological Risks of Neglected Tropical DiseasesAnuj Mubayi8. Theory and Modeling for Time Required to Vaccinate a Population in an EpidemicTaejin Lee, Kurien Thomas and Arni S.R. Srinivasa Rao Section VIII : Public Health and Epidemic Data Modeling9. Frailty Models in Public HealthDavid D. Hanagal10. Structural Nested Mean Models and History-Adjusted Marginal Structural Models for Time-Varying Effect Modification: An Application to Dental DataMurthy N. Mittinty11. Conditional Growth Models: An Exposition and Some ExtensionsClive Osmond and Caroline H.D. Fall12. Parametric Model to Predict H1N1 Influenza in Vellore District, Tamil Nadu, IndiaDaphne Lopez and Gunasekaran Manogaran13. Public Health Eye Care: Modeling Techniques to Translate Evidence Into Effective ActionGudlavalleti V.S. Murthy and Neena S. John14. Individual-Based Models for Public HealthBenjamin Roche and Raphaël Duboz
