The abundance threshold for plague as a critical percolation phenomenon

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 (R0) 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 R0 = 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).

[1]  M. S. Sánchez,et al.  Should we expect population thresholds for wildlife disease? , 2005, Trends in ecology & evolution.

[2]  Denis Mollison,et al.  Spatial Contact Models for Ecological and Epidemic Spread , 1977 .

[3]  D. J. Bailey,et al.  Empirical evidence of spatial thresholds to control invasion of fungal parasites and saprotrophs. , 2004, The New phytologist.

[4]  V. Gubertì,et al.  Control of infectious diseases of wildlife in Europe. , 2001, Veterinary journal.

[5]  M. Sahini,et al.  Applications of Percolation Theory , 2023, Applied Mathematical Sciences.

[6]  M. Keeling,et al.  The effects of local spatial structure on epidemiological invasions , 1999, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[7]  C. Packer,et al.  A canine distemper virus epidemic in Serengeti lions (Panthera leo) , 1996, Nature.

[8]  J. P. Trapman,et al.  On stochastic models for the spread of infections , 2006 .

[9]  H. Kesten The critical probability of bond percolation on the square lattice equals 1/2 , 1980 .

[10]  N. Barlow The ecology of wildlife disease control : simple models revisited , 1996 .

[11]  C. Packer,et al.  Viruses of the Serengeti: patterns of infection and mortality in African lions , 1999, The Journal of Animal Ecology.

[12]  G. Hickling,et al.  Effects of sustained control of brushtail possums on levels of Mycobacterium bovis infection in cattle and brushtail possum populations from Hohotaka, New Zealand. , 1999, New Zealand veterinary journal.

[13]  D Mollison,et al.  Dependence of epidemic and population velocities on basic parameters. , 1991, Mathematical biosciences.

[14]  P. Trapman,et al.  On analytical approaches to epidemics on networks. , 2007, Theoretical population biology.

[15]  M. Begon,et al.  Empirical assessment of a threshold model for sylvatic plague , 2007, Journal of The Royal Society Interface.

[16]  S. B. Pole,et al.  Predictive Thresholds for Plague in Kazakhstan , 2004, Science.

[17]  D. J. Bailey,et al.  Saprotrophic invasion by the soil‐borne fungal plant pathogen Rhizoctonia solani and percolation thresholds , 2000 .

[18]  P. Grassberger On the critical behavior of the general epidemic process and dynamical percolation , 1983 .

[19]  M. Keeling,et al.  Networks and epidemic models , 2005, Journal of The Royal Society Interface.

[20]  M. Begon,et al.  Plague metapopulation dynamics in a natural reservoir: the burrow system as the unit of study , 2006, Epidemiology and Infection.

[21]  M. Begon,et al.  Epizootiologic Parameters for Plague in Kazakhstan , 2006, Emerging infectious diseases.

[22]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[23]  Arnoldo Frigessi,et al.  Climatically driven synchrony of gerbil populations allows large-scale plague outbreaks , 2007, Proceedings of the Royal Society B: Biological Sciences.