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Main description:
It is clear that many fascinating problems still remain to be addressed in parasite transmission modelling, from better understanding of transmission processes and natural history of infection to investigating the impact of ecological and spatial scales, climate change, host immunity and social behaviour, parasite-host evolutionary dynamics and parasite community ecology on parasite transmission. This book captures some of the advances made in recent years and provides indications of ways forward for addressing these questions by shedding light on developments in conceptual frameworks and modelling tools as well as the emergence of new data forms for aiding model construction, testing and analysis. Another important advance has been the parallel development of robust computationally-intensive statistical methods to allow model testing and parameterization by aiding the fitting of models to complex data. This is an exciting area of work, which we believe will broaden the scope of mathematical modelling in investigating parasite transmission processes. In particular, we expect this advance will now allow modellers to begin the successful development and analysis of mechanistically-rich models of parasite transmission that will facilitate better integration of the variety of mechanisms increasingly recognized as important in simultaneously affecting transmission, including abiotic processes, trophic and evolutionary interactions, movement in space, and behaviour and even
physiology of the individual. We foresee a continuing bright future for using mathematical modelling to clarify parasite transmission dynamics and address problems related to effective parasite control. Ultimately, through this improved application of models to research and management, we expect that parasite control would be an achievable goal bringing benefits to a vast number of our fellow human beings.
Contents:
Part 1. Modelling Parasite Transmission
1. Progress in Modelling Malaria Transmission
David L. Smith and Nick Ruktanonchai
Modelling Malaria Transmission, a Historical Introduction
Complexity, Parsimony and Robust Descriptions of Transmission
Transmission Intensity and Its Estimations
Preferential Biting and Uneven Exposure
Immunity and the Infectious Reservoir
Malaria Transmission in Real Populations
Conclusion
2. Vector Transmission Heterogeneity and the Populat ion Dynamics and Control of Lymphatic Filariasis
Edwin Michael and Manoj Gambhir
Abstract
Introduction
Lymphatic Filariasis Disease and Parasite Life Cycle
Mosquito Vectors of Lymphatic Filariasis
Vector-Parasite Infection Relationships
Quantifying the Mf-L3 Functional Response in Vector Populations
Derivation of Vector-Specific Models of Lymphatic Filariasis Transmission
Impact of Vector-Specific Infection Processes on Parasite System Stability,
Persistence and Extinction
Impact of Vector-Specific Infection Processes on Age Patterns of Infection
The Impact of Vector Genus on the Dynamics of Filariasis Control
Conclusion
3. Modelling Multi?Species Parasite Transmission
Andrea Pugliese
Abstract
Introduction
Structure and Parameters of Models
The Model without Direct Interactions
Competition among Parasites
Normal Approximations
Competition and Host Heterogeneity
Conclusion
4. Metap opulat ion Models in Tick?Borne Disease Transmission Modelling
Holly Gaff and Elsa Schaefer
Abstract
Introduction
Methods
Variations within Patches
Patch Connectivity
The Surrounding Environment
Boundary Effects
Conclusion
5. Modelling Stochastic Transmission Processes in Helminth Infections
Stephen J. Cornell
Abstract
Introduction
Infection in a Single Host
Infection among Multiple Hosts
Conclusion
6. Modelling Environmenta lly?Mediat ed Infectious Diseases of Humans: Transmission Dynamics of Schistosomiasis in China
Justin Remais
Abstract
Introduction
Modelling Schistosome Transmission
Model Parameters
EnvironmentalData
Model Dynamics
Modelling Spatial Connectivity
Extending the Modelling Framework
Conclusion
Part 2. Applicat ion of Models to Parasite Control
7. Parameter Estimat ion and Site?Specific Calibrat ion of Disease Transmission Models
Robert C. Spear and A. Hubbard
Abstract
Introduction
Local Data
A Calibration Example
The Posterior Parameter Space
Bayesian Melding
Conclusion
8. Modelling Malaria Populat ion Structure and Its Implicat ions for Control
Caroline O. Buckee and Sunetra Gupta
Abstract
Introduction
Adding Realism to the Basic Framework of the Ross?MacDonald Models
Modelling the Effects of Parasite Population Structure
Conclusion
9. Mat hemat ical Modelling of the Epidemiology of Tuberculosis
Peter J. White and Geoff P. Garnett
Abstract
Introduction
TB Natural History
Mathematical Models of TB Transmission Dynamics
Modelling the Natural History of TB
Vaccination
Population Age Structure
Interactions with HIV
Contact Patterns
The Basic and Effective Reproductive Numbers of TB
Modelling Strains of TB
Host Genetic Factors and Within?Host Modelling
TB?Control Strategies
Conclusion
10. Modelling Trachoma for Control Programes
Manoj Gambhir, Maria?Gloria Basanez, Isobel M. Blake and Nicholas C. Grassly
Abstract
Introduction
Antibiotic?Based Control Programmes
Methods
Results
Conclusion
11. Transmission Models and Management of Lymphat ic Filariasis Eliminat ion
Edwin Michael and Manoj Gambhir
Abstract
Introduction
Transmission Models and Decisions in Parasite Management
Models and Quantifying Intervention Endpoint Targets
Models and Design of Optimal Filariasis Intervention Strategies
Conclusion
12. Disease Transmission Models for Public Health Decision?Making: Designing Intervention Strat egies for Schistosoma japonicum
Edmund Y.W. Seto and Elizabeth J. Carlton
Abstract
Introduction
Model Framework
New Model Developments: Incorporating Population Heterogeneity and Connectivity
Conclusion
Epilogue
13. Modelling Climat e Change and Malaria
PRODUCT DETAILS
Publisher: Springer (Springer-Verlag New York Inc.)
Publication date: April, 2010
Pages: 236
Weight: 652g
Availability: Available
Subcategories: General Issues
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