Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 423-434 |
| Number of pages | 12 |
| Journal | Journal of the Royal Society Interface |
| Volume | 8 |
| Issue number | 56 |
| DOIs | |
| State | Published - Mar 2011 |
| Externally published | Yes |
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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.
In: Journal of the Royal Society Interface, Vol. 8, No. 56, 03.2011, p. 423-434.Research output: Contribution to journal › Article
TY - JOUR
T1 - Epidemics in networks of spatially correlated three-dimensional root-branching structures
AU - Handford,Thomas P.
AU - Perez-Reche,Francisco J.
AU - Taraskin,Sergei N.
AU - Costa,Luciano da F.
AU - Miazaki,Mauro
AU - Neri,Franco M.
AU - Gilligan,Christopher A.
PY - 2011/3
Y1 - 2011/3
N2 - 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 model onto the bond percolation problem, we show how the spatially correlated branching structures of plant roots affect transmission efficiencies, and hence the invasion criterion, for a soil-borne pathogen as it spreads through ensembles of morphologically complex hosts. We conclude that the inherent heterogeneities in transmissibilities arising from correlations in the degrees of overlap between neighbouring plants render a population of root systems less susceptible to epidemic invasion than a corresponding homogeneous system. Several components of morphological complexity are analysed that contribute to disorder and heterogeneities in the transmissibility of infection. Anisotropy in root shape is shown to increase resilience to epidemic invasion, while increasing the degree of branching enhances the spread of epidemics in the population of roots. Some extension of the methods for other epidemiological systems are discussed.
AB - 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 model onto the bond percolation problem, we show how the spatially correlated branching structures of plant roots affect transmission efficiencies, and hence the invasion criterion, for a soil-borne pathogen as it spreads through ensembles of morphologically complex hosts. We conclude that the inherent heterogeneities in transmissibilities arising from correlations in the degrees of overlap between neighbouring plants render a population of root systems less susceptible to epidemic invasion than a corresponding homogeneous system. Several components of morphological complexity are analysed that contribute to disorder and heterogeneities in the transmissibility of infection. Anisotropy in root shape is shown to increase resilience to epidemic invasion, while increasing the degree of branching enhances the spread of epidemics in the population of roots. Some extension of the methods for other epidemiological systems are discussed.
U2 - 10.1098/rsif.2010.0296
DO - 10.1098/rsif.2010.0296
M3 - Article
VL - 8
SP - 423
EP - 434
JO - Journal of the Royal Society Interface
T2 - Journal of the Royal Society Interface
JF - Journal of the Royal Society Interface
SN - 1742-5689
IS - 56
ER -