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Multiple sources and routes of information transmission: Implications for epidemic dynamics
journal contribution
posted on 2023-06-08, 06:33 authored by Vasilis Hatzopoulos, Michael TaylorMichael Taylor, Péter L Simon, Istvan KissIn a recent paper, we proposed and analyzed a compartmental ODE-based model describing the dynamics of an infectious disease where the presence of the pathogen also triggers the diffusion of information about the disease. In this paper, we extend this previous work by presenting results based on pairwise and simulation models that are better suited for capturing the population contact structure at a local level. We use the pairwise model to examine the potential of different information generating mechanisms and routes of information transmission to stop disease spread or to minimize the impact of an epidemic. The individual-based simulation is used to better differentiate between the networks of disease and information transmission and to investigate the impact of different basic network topologies and network overlap on epidemic dynamics. The paper concludes with an individual-based semi-analytic calculation of R0 at the non-trivial disease free equilibrium.
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Publication status
- Published
Journal
Mathematical BiosciencesISSN
0025-5564External DOI
Issue
2Volume
231Page range
197-209Department affiliated with
- Mathematics Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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