A symbolic investigation of superspreaders

Chris McCaig, M. Begon, C. Shankland, R. Norman

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.
LanguageEnglish
Pages777-794
Number of pages18
JournalBulletin of Mathematical Biology
Volume73
Issue number4
Early online date23 Dec 2010
DOIs
Publication statusPublished - 2011

Fingerprint

Population dynamics
Population Dynamics
population dynamics
Individual-based Model
Mean Field Equation
individual-based model
Process Algebra
Infectious Diseases
infectious disease
dynamic models
Algebra
Population
infectious diseases
Communicable Diseases
Infection
Theoretical Models
mathematical models
Mathematical Model
Mathematical models
infection

Keywords

  • symbolic investigation
  • superspreaders

Cite this

McCaig, Chris ; Begon, M. ; Shankland, C. ; Norman, R. / A symbolic investigation of superspreaders. In: Bulletin of Mathematical Biology. 2011 ; Vol. 73, No. 4. pp. 777-794.
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A symbolic investigation of superspreaders. / McCaig, Chris; Begon, M.; Shankland, C.; Norman, R.

In: Bulletin of Mathematical Biology, Vol. 73, No. 4, 2011, p. 777-794.

Research output: Contribution to journalArticle

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