Dynamic Modeling of Diseases and Pests

Models help us understand the nonlinear dynamics of real-world processes by using the computer to mimic the actual forces that result in a systems behavior. The growing complexity of human social systems, from individual behavior to that of entire populations makes us increasingly vulnerable to dis...

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Bibliographic Details
Main Authors: Hannon, Bruce. (Author), Ruth, Matthias. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: New York, NY : Springer New York, 2009.
Series:Modeling Dynamic Systems
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-09560-8
Table of Contents:
  • From the contents Part I: Introduction. 1. The Why and How of Dynamic Modeling. 2. Basic Epidemic Models. 3. Insect Dynamics
  • Part II: Applications. 4. Malaria and Sickle Cell Anemia. 5. Encephalitis. 6. Chagas Disease. 7. Lyme Disease. 8. Chicken Pox and Shingles. 9. Toxoplasmosis. 10. The Zebra Mussel. 11. Biological Control of Pestilence. 12. Indirect SIR Models of Arboviral Encephalitis Transmission. 13. Chaos and Pestilence. 14. Catastrophe and Pestilence. 15. Spatial Dynamics of Pestilence
  • Part III: Conclusions. 16. Conclusions.