Dieckmann, U. ORCID: https://orcid.org/0000-0001-7089-0393 (2002). Adaptive dynamics of pathogen-host interactions. In: Adaptive Dynamics of Infectious Diseases: In Pursuit of Virulence Management. Eds. Dieckmann, U. ORCID: https://orcid.org/0000-0001-7089-0393, Metz, J.A.J., Sabelis, M.W., & Sigmund, K., Cambridge: Cambridge University Press. 10.1017/CBO9780511525728.006.
Full text not available from this repository.Abstract
This chapter explains why the traditional approach of predicting evolutionary outcomes by maximizing the basic reproduction ratio of a disease is not always appropriate. Since pathogens tend to affect their host environment in radical ways, selection pressures usually depend on the types of pathogens and hosts that are established in an infected population. After outlining the theory of adaptive dynamics as a versatile toolbox for investigating the evolution and coevolution of pathogen-host interactions under conditions of frequency-dependent selection, examples illustrate how classic methods and the new models presented here result in different predictions about the evolution of infectious diseases.
Item Type: | Book Section |
---|---|
Research Programs: | Adaptive Dynamics Network (ADN) |
Bibliographic Reference: | In: U. Dieckmann, J.A.J. Metz, M.W. Sabelis, K. Sigmund (eds); Adaptive Dynamics of Infectious Diseases: In Pursuit of Virulence Management; Cambridge University Press, Cambridge, UK pp.39-59 (2002) |
Depositing User: | IIASA Import |
Date Deposited: | 15 Jan 2016 02:14 |
Last Modified: | 27 Aug 2021 17:17 |
URI: | https://pure.iiasa.ac.at/6621 |
Actions (login required)
View Item |