Selected article for: "Cauchy exponential model and external infection"
Author: Neri, Franco M.; Cook, Alex R.; Gibson, Gavin J.; Gottwald, Tim R.; Gilligan, Christopher A.
Title: Bayesian Analysis for Inference of an Emerging Epidemic: Citrus Canker in Urban Landscapes
  • Document date: 2014_4_24
    • ID: 01yc7lzk_20
    Snippet: Spatial dispersal. Here we consider a variety of models: a model with only primary infection (e.0, b = 0) in which the infected set at any time is therefore a random selection from the population, as well as spatially-structured models in which we consider dispersal kernels with and without allowance for contemporary external infection. Several different models for dispersal (including the exponential, power law, Gaussian and Cauchy models) were .....
    Document: Spatial dispersal. Here we consider a variety of models: a model with only primary infection (e.0, b = 0) in which the infected set at any time is therefore a random selection from the population, as well as spatially-structured models in which we consider dispersal kernels with and without allowance for contemporary external infection. Several different models for dispersal (including the exponential, power law, Gaussian and Cauchy models) were screened for suitability in a preliminary analysis of the data. Two models, with qualitatively different behaviour, fitted substantially better than the others and were selected for comparison: these are the exponential and the Cauchy model, given by:

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