Work

Bursting endemic bubbles in an adaptive network

Year: 2018

Type: article

Abstract: The spread of an infectious disease is known to change people's behavior, which in turn affects the spread of disease. Adaptive network models that account for both epidemic and behavioral change have found oscillations, but in an extremely narrow region of the parameter space, which contrasts with intuition and available data. In this paper we propose a simple susceptible-infected-susceptible epidemic model on an adaptive network with time-delayed rewiring, and show that oscillatory solutions are now present in a wide region of the parameter space. Altering the transmission or rewiring rates reveals the presence of an endemic bubble-an enclosed region of the parameter space where oscillations are observed.

Source: Physical review. E

DOI: 10.1103/physreve.97.042306

Authors: N. Sherborne, K. B. Blyuss, I. Z. Kiss

Institution: University of Sussex

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

Open Access status: hybrid

Estimated APC paid: $1,695

Funders: University of Sussex, Engineering and Physical Sciences Research Council