Interacting epidemics and coinfection on contact networks

Abstract

The spread of certain diseases can be promoted, in some cases substantially, by prior infection with another disease. One example is that of HIV, whose immunosuppressant effects significantly increase the chances of infection with other pathogens. Such coinfection processes, when combined with nontrivial structure in the contact networks over which diseases spread, can lead to complex patterns of epidemiological behavior. Here we consider a mathematical model of two diseases spreading through a single population, where infection with one disease is dependent on prior infection with the other. We solve exactly for the sizes of the outbreaks of both diseases in the limit of large population size, along with the complete phase diagram of the system. Among other things, we use our model to demonstrate how diseases can be controlled not only by reducing the rate of their spread, but also by reducing the spread of other infections upon which they depend.

9 pages, 3 figures

References in corpus (2)

• Prediction and predictability of global epidemics: the role of the airline transportation network
• Threshold effects for two pathogens spreading on a network

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• History-dependent percolation on multiplex networks
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• Competition, Collaboration, and Optimization in Multiple Interacting Spreading Processes
• Cooperative coinfection dynamics on clustered networks
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• Symbiotic and antagonistic disease dynamics on networks using bond percolatio
• Error Propagation Through a Network With Non-Uniform Failure
• Dynamical correlations and pairwise theory for the symbiotic contact process on networks
• Competitive epidemic networks with multiple survival-of-the-fittest outcomes
• A re-entrant phase transition in the survival of secondary infections on networks
• One pathogen does not an epidemic make: A review of interacting contagions, diseases, beliefs, and stories
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