Literature DB >> 18668107

The abundance threshold for plague as a critical percolation phenomenon.

S Davis1, P Trapman, H Leirs, M Begon, J A P Heesterbeek.   

Abstract

Percolation theory is most commonly associated with the slow flow of liquid through a porous medium, with applications to the physical sciences. Epidemiological applications have been anticipated for disease systems where the host is a plant or volume of soil, and hence is fixed in space. However, no natural examples have been reported. The central question of interest in percolation theory, the possibility of an infinite connected cluster, corresponds in infectious disease to a positive probability of an epidemic. Archived records of plague (infection with Yersinia pestis) in populations of great gerbils (Rhombomys opimus) in Kazakhstan have been used to show that epizootics only occur when more than about 0.33 of the burrow systems built by the host are occupied by family groups. The underlying mechanism for this abundance threshold is unknown. Here we present evidence that it is a percolation threshold, which arises from the difference in scale between the movements that transport infectious fleas between family groups and the vast size of contiguous landscapes colonized by gerbils. Conventional theory predicts that abundance thresholds for the spread of infectious disease arise when transmission between hosts is density dependent such that the basic reproduction number (R(0)) increases with abundance, attaining 1 at the threshold. Percolation thresholds, however, are separate, spatially explicit thresholds that indicate long-range connectivity in a system and do not coincide with R(0) = 1. Abundance thresholds are the theoretical basis for attempts to manage infectious disease by reducing the abundance of susceptibles, including vaccination and the culling of wildlife. This first natural example of a percolation threshold in a disease system invites a re-appraisal of other invasion thresholds, such as those for epidemic viral infections in African lions (Panthera leo), and of other disease systems such as bovine tuberculosis (caused by Mycobacterium bovis) in badgers (Meles meles).

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Year:  2008        PMID: 18668107     DOI: 10.1038/nature07053

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  63 in total

1.  Climate predictors of the spatial distribution of human plague cases in the West Nile region of Uganda.

Authors:  Katherine MacMillan; Andrew J Monaghan; Titus Apangu; Kevin S Griffith; Paul S Mead; Sarah Acayo; Rogers Acidri; Sean M Moore; Joseph Tendo Mpanga; Russel E Enscore; Kenneth L Gage; Rebecca J Eisen
Journal:  Am J Trop Med Hyg       Date:  2012-03       Impact factor: 2.345

2.  Applications of percolation theory to fungal spread with synergy.

Authors:  Jonathan J Ludlam; Gavin J Gibson; Wilfred Otten; Christopher A Gilligan
Journal:  J R Soc Interface       Date:  2011-11-02       Impact factor: 4.118

3.  Prediction of invasion from the early stage of an epidemic.

Authors:  Francisco J Pérez-Reche; Franco M Neri; Sergei N Taraskin; Christopher A Gilligan
Journal:  J R Soc Interface       Date:  2012-04-18       Impact factor: 4.118

4.  Epidemics in networks of spatially correlated three-dimensional root-branching structures.

Authors:  T P Handford; F J Pérez-Reche; S N Taraskin; L da F Costa; M Miazaki; F M Neri; C A Gilligan
Journal:  J R Soc Interface       Date:  2010-07-28       Impact factor: 4.118

5.  Heterogeneity in susceptible-infected-removed (SIR) epidemics on lattices.

Authors:  Franco M Neri; Francisco J Pérez-Reche; Sergei N Taraskin; Christopher A Gilligan
Journal:  J R Soc Interface       Date:  2010-07-14       Impact factor: 4.118

6.  Identification of risk factors for plague in the West Nile Region of Uganda.

Authors:  Rebecca J Eisen; Katherine MacMillan; Linda A Atiku; Joseph T Mpanga; Emily Zielinski-Gutierrez; Christine B Graham; Karen A Boegler; Russell E Enscore; Kenneth L Gage
Journal:  Am J Trop Med Hyg       Date:  2014-03-31       Impact factor: 2.345

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

Authors:  Francisco J Pérez-Reche; Sergei N Taraskin; Luciano da F Costa; Franco M Neri; Christopher A Gilligan
Journal:  J R Soc Interface       Date:  2010-01-14       Impact factor: 4.118

8.  Using network properties to predict disease dynamics on human contact networks.

Authors:  Gregory M Ames; Dylan B George; Christian P Hampson; Andrew R Kanarek; Cayla D McBee; Dale R Lockwood; Jeffrey D Achter; Colleen T Webb
Journal:  Proc Biol Sci       Date:  2011-04-27       Impact factor: 5.349

9.  Emergence, spread, persistence and fade-out of sylvatic plague in Kazakhstan.

Authors:  Lise Heier; Geir O Storvik; Stephen A Davis; Hildegunn Viljugrein; Vladimir S Ageyev; Evgeniya Klassovskaya; Nils Chr Stenseth
Journal:  Proc Biol Sci       Date:  2011-02-23       Impact factor: 5.349

10.  Dynamics of the plague-wildlife-human system in Central Asia are controlled by two epidemiological thresholds.

Authors:  Noelle I Samia; Kyrre Linné Kausrud; Hans Heesterbeek; Vladimir Ageyev; Mike Begon; Kung-Sik Chan; Nils C Stenseth
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-19       Impact factor: 11.205

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