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Spatial Contact Models for Ecological and Epidemic Spread
Abstract
Summary: A wide variety of phenomena of geographical spread can be described in terms of a mechanism of “growth” (e.g. birth, infection) and a “contact distribution” which describes how the locations of the individual(s) involved in a migratory move, or infection at a distance, are spatially related. I shall survey work on such models, beginning with an examination of the relations between stochastic and deterministic models; it emerges that both linear and nonlinear deterministic models have close connections with the less interesting “linear” (exponential growth) stochastic models. More realistic models must be nonlinear as well as stochastic; some results are now available for such models. As in the linear case, these deal mainly with asymptotic behaviour. Simulations reveal that nonlinear stochastic processes have a richer spectrum of non-asymptotic behaviour than linear models, though in some circumstances the simpler models may provide an adequate approximation. Thus theoretical study of the short-term behaviour of such processes may be difficult, but should prove rewarding. The other main outstanding problems are those of inference for such models, especially the estimation of contact distributions.
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Metadata
- Authors
- Mollison, D.
- Venue
- Journal of the Royal Statistical Society Series B: Statistical Methodology
- Publisher
- Oxford University Press (OUP)
- Published
- 1977-07-01
- Volume
- 39
- Issue
- 3
- Pages
- 283-313
- ISSN
- 1369-7412 (ISSN-L)
- 1467-9868
- OpenAlex
- W76152643
- Cited by
- 758
- References
- 32
- FWCI
- 20.20
- Type
- journal article
- Language
- en
- Open access
- closed
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