Theory of the transmission of infection in the spread of epidemics: interacting random walkers with and without confinement.
A theory of the spread of epidemics is formulated on the basis of pairwise interactions in a dilute system of random walkers (infected and susceptible animals) moving in [Formula: see text] dimensions. The motion of an animal pair is taken to obey a Smoluchowski equation in [Formula: see text]-dimensional space that combines diffusion with confinement of each animal to its particular home range. An additional (reaction) term that comes into play when the animals are in close proximity describes the process of infection. Analytic solutions are obtained, confirmed by numerical procedures, and shown to predict a surprising effect of confinement. The effect is that infection spread has a non-monotonic dependence on the diffusion constant and/or the extent of the attachment of the animals to the home ranges. Optimum values of these parameters exist for any given distance between the attractive centers. Any change from those values, involving faster/slower diffusion or shallower/steeper confinement, hinders the transmission of infection. A physical explanation is provided by the theory. Reduction to the simpler case of no home ranges is demonstrated. Effective infection rates are calculated, and it is shown how to use them in complex systems consisting of dense populations.
Consortium of the Americas for Interdisciplinary Science, Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, 87131, USA, kenkre@unm.edu.
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D000818:Animals; D050936:Basic Reproduction Number; D004198:Disease Susceptibility / Q000453:epidemiology; D018562:Disease Transmission, Infectious / Q000706:statistics & numerical data*; D058872:Epidemics / Q000706:statistics & numerical data*; D006702:Homing Behavior; D006801:Humans; D007239:Infections / Q000453:epidemiology*; D016014:Linear Models; D055641:Mathematical Concepts; D008954:Models, Biological; D016011:Normal Distribution