ArticleJournal of mathematical biology2018
Persistence time of SIS infections in heterogeneous populations and networks.
Article in Journal of mathematical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 citing papers in PubMed, 0 citations in OpenAlex.
- Quasistationarity and extinction for population processes under asymptotic reversibility conditions.Journal of mathematical biology · 2025Article
- Degree Dispersion Increases the Rate of Rare Events in Population Networks.Physical review letters · 2019Article
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Authors and funding
1 author at 1 institution in 1 country.
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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.
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