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Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: A Symbolic Investigation of Superspreaders
Author(s): McCaig, Chris
Begon, Mike
Norman, Rachel
Shankland, Carron
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Keywords: Changing scale
Mean field equation derivation from process algebra
Communicable diseases Mathematical models
Population biology Mathematical models
Issue Date: Apr-2011
Date Deposited: 13-Apr-2011
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.
DOI Link: 10.1007/s11538-010-9603-7
Rights: The original publication is available at

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