PERSPECTIVES Duelling timescales of host movement and disease recovery determine invasion of disease in structured populations
By Paul C. Cross, Wayne M. Getz. 2005
116 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/fafeb673fd613a205b90212938f087d84cf33dc6
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Citations in the corpus
- Modeling human mobility responses to the large-scale spreading of infectious diseases (2011, background): “This is equivalent to the existence of a second reproductive number at the subpopulation level R * that depends on the mobility parameters and defines the threshold for the epidemic invasion of a finite fraction of subpopulation”
- Epidemic modeling in metapopulation systems with heterogeneous coupling pattern: theory and simulations. (2007, background): “The spreading process across subpopulations will therefore occur with a probability that is related to the diffusion probability of individuals and the total number of individuals that will experience the infection (Ball, 1997; Cross et al. , 2005, 2007).”
- Coexistence and extinction for stochastic Kolmogorov systems (2017, background): “7. 1 2 A. HENING AND D. NGUYEN with the native population? Mathematical models for invasibility have contributed significantly to the understanding of the epidemiology of infectious disease outbreaks ([CLSJG05]) and ecological processes ([LM96]; [Cas01]). There is widespread empirical evidence that h”