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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Complexity and anisotropy in host morphology make populations less susceptible to epidemic outbreaks

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Author(s):
Perez-Reche, Francisco J. [1] ; Taraskin, Sergei N. [2] ; Costa, Luciano da F. [3, 4] ; Neri, Franco M. [5] ; Gilligan, Christopher A. [5]
Total Authors: 5
Affiliation:
[1] Univ Cambridge, Dept Chem, Cambridge CB2 1EW - England
[2] Univ Cambridge, St Catharines Coll, Cambridge CB2 1EW - England
[3] Univ Sao Paulo, Inst Phys Sao Carlos, BR-13560970 Sao Paulo - Brazil
[4] Natl Inst Sci & Technol Complex Syst, Niteroi, RJ - Brazil
[5] Univ Cambridge, Dept Plant Sci, Cambridge CB2 1EW - England
Total Affiliations: 5
Document type: Journal article
Source: Journal of the Royal Society Interface; v. 7, n. 48, p. 1083-1092, JUL 6 2010.
Web of Science Citations: 13
Abstract

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 occurs between contiguous hosts. Morphological complexity brings an inherent heterogeneity in populations and affects the dynamics of pathogen spread in such systems. We have analysed the influence of realistically complex host morphology on the threshold for invasion and epidemic outbreak in an SIR (susceptible-infected-recovered) epidemiological model. We show that disorder expressed in the host morphology and anisotropy reduces the probability of epidemic outbreak and thus makes the system more resistant to epidemic outbreaks. We obtain general analytical estimates for minimally safe bounds for an invasion threshold and then illustrate their validity by considering an example of host data for branching hosts (salamander retinal ganglion cells). Several spatial arrangements of hosts with different degrees of heterogeneity have been considered in order to separately analyse the role of shape complexity and anisotropy in the host population. The estimates for invasion threshold are linked to morphological characteristics of the hosts that can be used for determining the threshold for invasion in practical applications. (AU)

FAPESP's process: 05/00587-5 - Mesh (graph) modeling and techniques of pattern recognition: structure, dynamics and applications
Grantee:Roberto Marcondes Cesar Junior
Support Opportunities: Research Projects - Thematic Grants