|Appears in Collections:||Computing Science and Mathematics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||A Symbolic Investigation of Superspreaders|
Mean field equation derivation from process algebra
|Citation:||McCaig C, Begon M, Norman R & Shankland C (2011) A Symbolic Investigation of Superspreaders, Bulletin of Mathematical Biology, 73 (4), pp. 777-794.|
|Abstract:||Superspreaders are an important phenomenon in the spread of infectious disease, accounting for a higher than average number of new infections in the population. We use mathematical models to compare the impact of supershedders and supercontacters on population dynamics. The stochastic, individual based models are investigated by conversion to deterministic, population level Mean Field Equations, using process algebra. The mean emergent population dynamics of the models are shown to be equivalent with and without superspreaders; however, simulations confirm expectations of differences in variability, having implications for individual epidemics.|
|Rights:||The original publication is available at www.springerlink.com|
|Affiliation:||University of Stirling|
University of Liverpool
Mathematics - CSM Dept
Computing Science - CSM Dept
|A Symbolic Investigation of Superspreaders.pdf||366.12 kB||Adobe PDF||View/Open|
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