Abstract
For a susceptible–infectious–susceptible infection model in a heterogeneous population, we present simple formulae giving the leading-order asymptotic (large population) behaviour of the mean persistence time, from an endemic state to extinction of infection. Our model may be interpreted as describing an infection spreading through either (1) a population with heterogeneity in individuals’ susceptibility and/or infectiousness; or (2) a heterogeneous directed network. Using our asymptotic formulae, we show that such heterogeneity can only reduce (to leading order) the mean persistence time compared to a corresponding homogeneous population, and that the greater the degree of heterogeneity, the more quickly infection will die out.
Original language | English |
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Pages (from-to) | 545-570 |
Number of pages | 26 |
Journal | Journal of Mathematical Biology |
Volume | 77 |
Issue number | 3 |
Early online date | 23 Feb 2018 |
DOIs | |
Publication status | Published - Sept 2018 |
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Damian Clancy
- School of Mathematical & Computer Sciences - Professor
- School of Mathematical & Computer Sciences, Actuarial Mathematics & Statistics - Professor
Person: Academic (Research & Teaching)