Now showing items 1-10 of 10

  • Biological invasion in soil: complex network analysis 

    Perez-Reche, Francisco J.; Taraskin, Sergei N.; Neri, F. M.; Gilligan, Christopher A.; Costa, Luciano da F.; Viana, M. P.; Otten, Wilfred; Grinev, D. (Institute of Electrical and Electronics Engineers, 2009-07)
    A network model for soil pore space is developed and applied to the analysis of biological invasion of microorganisms in soil. The model was parameterized for two soil samples with different compaction (loosely and densely ...
  • Complexity and anisotropy in host morphology make populations less susceptible to epidemic outbreaks 

    Perez-Reche, Francisco J.; Taraskin, Sergei N.; Costa, Luciano da F.; Neri, Franco M.; Gilligan, Christopher A. (The Royal Society, 2010-07)
    One of the challenges in epidemiology is to account for the complex morphological structure of hosts such as plant roots, crop fields, farms, cells, animal habitats and social networks, when the transmission of infection ...
  • The effect of heterogeneity on invasion in spatial epidemics: from theory to experimental evidence in a model system 

    Neri, Franco M.; Bates, Anne; Füchtbauer, Winnie S.; Pérez-Reche, Francisco J.; Taraskin, Sergei N.; Otten, Wilfred; Bailey, Douglas J.; Gilligan, Christopher A. (Public Library of Science, 2011-09)
    Heterogeneity in host populations is an important factor affecting the ability of a pathogen to invade, yet the quantitative investigation of its effects on epidemic spread is still an open problem. In this paper, we test ...
  • Epidemics in networks of spatially correlated three-dimensional root-branching structures 

    Handford, Thomas P.; Perez-Reche, Francisco J.; Taraskin, Sergei N.; Costa, Luciano da F.; Miazaki, Mauro; Neri, Franco M.; Gilligan, Christopher A. (The Royal Society, 2011-03)
    Using digitized images of the three-dimensional, branching structures for root systems of bean seedlings, together with analytical and numerical methods that map a common susceptible–infected–recovered (‘SIR’) epidemiological ...
  • Exact spin–spin correlation function for the zero-temperature random-field Ising model 

    Handford, P.; Perez-Reche, Francisco J.; Taraskin, Sergei N. (Institute of Physics, 2012-01)
    An exact expression for the spin–spin correlation function is derived for the zero-temperature random-field Ising model defined on a Bethe lattice of arbitrary coordination number. The correlation length describing dynamic ...
  • Heterogeneity in susceptible–infected–removed (SIR) epidemics on lattices 

    Neri, Franco M.; Perez-Reche, Francisco J.; Taraskin, Sergei N.; Gilligan, Christopher A. (The Royal Society, 2011-02)
    The percolation paradigm is widely used in spatially explicit epidemic models where disease spreads between neighbouring hosts. It has been successful in identifying epidemic thresholds for invasion, separating non-invasive ...
  • Prediction of invasion from the early stage of an epidemic 

    Pérez-Reche, Francisco J.; Neri, Franco M.; Taraskin, Sergei N.; Gilligan, Christopher A. (The Royal Society, 2012-09)
    Predictability of undesired events is a question of great interest in many scientific disciplines including seismology, economy and epidemiology. Here, we focus on the predictability of invasion of a broad class of epidemics ...
  • Prominent effect of soil network heterogeneity on microbial invasion 

    Perez-Reche, Francisco J.; Taraskin, Sergei N.; Otten, Wilfred; Viana, M. P.; Costa, Luciano da F.; Gilligan, Christopher A. (American Physical Society, 2012)
    Using a network representation for real soil samples and mathematical models for microbial spread, we show that the structural heterogeneity of the soil habitat may have a very significant influence on the size of microbial ...
  • Resilience of soil to biological invasion: analysis of spread on networks 

    Otten, Wilfred; Grinev, Dmitri V.; Perez-Reche, Francisco J.; Neri, Franco; Costa, Luciano da F.; Biana, Marcel; Gilligan, Christopher A.; Taraskin, Sergei N. (International Union of Soil Sciences, 2010-08)
    A network model for soil pore volume is presented and applied to the analysis of biological invasion of microorganisms. The pore geometry of two soils with a relatively high or low bulk density were quantified with the ...
  • Synergy in spreading processes: from exploitative to explorative foraging strategies 

    Perez-Reche, Francisco J.; Ludlam, Jonathan J.; Taraskin, Sergei N.; Gilligan, Christopher A. (American Physical Society, 2011-05)
    An epidemiological model which incorporates synergistic effects that allow the infectivity and/or susceptibility of hosts to be dependent on the number of infected neighbours is proposed. Constructive synergy induces an ...