ArticlePhysica A2014
Epidemic spreading in metapopulation networks with heterogeneous infection rates.
Article in Physica A, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Metapopulation epidemic models with a universal mobility pattern on interconnected networks.Physica A · 2022Article
- Effects of distribution of infection rate on epidemic models.Physical review. E · 2016Article
- The Scaling of Human Contacts and Epidemic Processes in Metapopulation Networks.Scientific reports · 2015Article
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Authors and funding
3 authors.
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Abstract
In this paper, we study epidemic spreading in metapopulation networks wherein each node represents a subpopulation symbolizing a city or an urban area and links connecting nodes correspond to the human traveling routes among cities. Differently from previous studies, we introduce a heterogeneous infection rate to characterize the effect of nodes' local properties, such as population density, individual health habits, and social conditions, on epidemic infectivity. By means of a mean-field approach and Monte Carlo simulations, we explore how the heterogeneity of the infection rate affects the epidemic dynamics, and find that large fluctuations of the infection rate have a profound impact on the epidemic threshold as well as the temporal behavior of the prevalence above the epidemic threshold. This work can refine our understanding of epidemic spreading in metapopulation networks with the effect of nodes' local properties.
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