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Theory of the Transmission of Infection in the Spread of Epidemics: Interacting Random Walkers with and Without Confinement

Overview of attention for article published in Bulletin of Mathematical Biology, November 2014
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Title
Theory of the Transmission of Infection in the Spread of Epidemics: Interacting Random Walkers with and Without Confinement
Published in
Bulletin of Mathematical Biology, November 2014
DOI 10.1007/s11538-014-0042-8
Pubmed ID
Authors

V. M. Kenkre, S. Sugaya

Abstract

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Master 2 13%
Lecturer 1 7%
Student > Bachelor 1 7%
Professor 1 7%
Other 3 20%
Unknown 3 20%
Readers by discipline Count As %
Physics and Astronomy 4 27%
Agricultural and Biological Sciences 4 27%
Mathematics 2 13%
Psychology 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 3 20%