Now showing items 1-5 of 5

  • Bayesian estimation for percolation models of disease spread in plant populations 

    Gibson, Gavin J.; Otten, Wilfred; Filipe, J. A. N.; Cook, Alex R.; Marion, Glenn; Gilligan, Christopher A. (Springer Verlag, 2006-12)
    Statistical methods are formulated for fitting and testing percolation-based, spatio-temporal models that are generally applicable to biological or physical processes that evolve in spatially distributed populations. The ...
  • Damping-off epidemics, contact structure, and disease transmission in mixed-species populations 

    Otten, Wilfred; Filipe, J. A. N.; Gilligan, Christopher A. (Ecological Society of America, 2005-07)
    In this paper we introduce a method to analyze the inter- and intraspecies transmission rates and contact structure between susceptible and infected plants in epidemics in mixed plant populations. Using spatiotemporal maps ...
  • An empirical method to estimate the effect of soil on the rate for transmission of damping-off disease 

    Otten, Wilfred; Filipe, J. A. N.; Gilligan, Christopher A. (Wiley-Blackwell, 2004-04)
    The ability of some soils to suppress soil-borne diseases has been long recognised, but the underlying epidemiological mechanisms by which this occurs are largely unknown.• Using damping-off disease caused by Rhizoctonia ...
  • Inferring the dynamics of a spatial epidemic from time-series data 

    Filipe, J. A. N.; Otten, Wilfred; Gibson, Gavin J.; Gilligan, Christopher A. (Springer Verlag, 2004-03)
    Spatial interactions are key determinants in the dynamics of many epidemiological and ecological systems; therefore it is important to use spatio-temporal models to estimate essential parameters. However, spatially-explicit ...
  • Quantification and analysis of transmission rates for soilborne epidemics 

    Otten, Wilfred; Filipe, J. A. N.; Bailey, Douglas J.; Gilligan, Christopher A. (Ecological Society of America, 2003)
    The rates of transmission of infection from inoculum or infecteds to susceptible hosts are critical determinants of epidemics, yet no formal experimental methods have been described for their quantification and analysis ...