Evolution of Virulence: a Unified Framework for Coinfection and Superinfection
β Scribed by J. Mosquera; Frederick R. Adler
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 820 KB
- Volume
- 195
- Category
- Article
- ISSN
- 0022-5193
No coin nor oath required. For personal study only.
β¦ Synopsis
Models of the evolution of parasite virulence have focused on computing the evolutionarily stable level of virulence favored by tradeoffs within a host and by competition for hosts, and deriving conditions under which strains with different virulence levels can coexist. The results depend on the type of interaction between disease strains, such as single infection (immunity of infected individuals to other strains), coinfection (simultaneous infection by two strains), and superinfection (instantaneous takeover of host by the more virulent strain). We present a coinfection model with two strains and derive the superinfection model as the limit where individuals are rapidly removed from the doubly-infectious class. When derived in this way, the superinfection model includes not only the takeover of hosts infected by the less virulent strain, but new terms which take into account the possibility of increased mortality of doubly-infected individuals. Coinfection tends to favor higher virulence and support more coexistence than the single infection model, but the detailed results depend sensitively on two factors: (1) whether and how the model is near the superinfection limit, and (2) the shape of the coinfection function (the function describing the rate at which a more virulent strain can infect a host). If the superinfection limit arises due to rapid mortality of doubly-infected hosts, there is a region of uninvadable virulence levels rather than coexistence. When the coinfection function is discontinuous, as in many previous models, neither the coinfection model nor the superinfection limit can support an evolutionarily stable virulence level. Piecewise differentiable and differentiable coinfection functions produce qualitatively different results, and we propose that these more general cases should be used to study evolution of virulence when other mechanisms like space, population dynamics, and stochasticity interact.
π SIMILAR VOLUMES
## Abstract This paper presents a unified framework for transmissionβdisequilibrium tests for discrete and continuous traits. A conditional score test is derived that maximizes power to detect small effects for any exponential family distribution, which includes binary and normal distributions, and
We discuss a wide range of matching problems in terms of a network flow model. More than this, we start up a matching theory which is very intuitive and independent from the original graph context. This first paper contains a standardized theory for the performance analysis of augmentation algorithm
For at least a century biologists have been talking, mostly in a black-box sense, about developmental mechanisms. Only recently have biologists succeeded broadly in fishing out the contents of these black boxes. Unfortunately the view from inside the black box is almost as obscure as that from witho
The FETI algorithms are a family of numerically scalable substructuring methods with Lagrange multipliers that have been designed for solving iteratively large-scale systems of equations arising from the ΓΏnite element discretization of structural engineering, solid mechanics, and structural dynamics
## Abstract The emerging discipline of cognitive neuroscience (CN) enjoins the efforts of cognitive psychologists, neuroscientists, computer scientists, clinical neurologists, neurophilosophers, and many others working collaboratively across traditional disciplinary boundaries to elucidate the mann