2010
DOI: 10.1007/s12064-010-0106-8
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A rigorous approach to investigating common assumptions about disease transmission

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Cited by 7 publications
(2 citation statements)
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“…This extends previous studies and discussions of contact processes in epidemiology (see [5,16,37,57]) and provides a unifying mathematical validation for the notions of frequency-dependent versus density-dependent contact rates -both models can be recovered by taking different limits on the same underlying stochastic individual-level process. Whereas McCaig et al [36] took a cybernetic (algorithmic) approach to the same problem (i.e. scaling up from individual-level interactions to population-level transmission models), our approach provides an analytical treatment in which stochastic processes are modeled explicitely.…”
Section: Overview and Concluding Remarksmentioning
confidence: 99%
“…This extends previous studies and discussions of contact processes in epidemiology (see [5,16,37,57]) and provides a unifying mathematical validation for the notions of frequency-dependent versus density-dependent contact rates -both models can be recovered by taking different limits on the same underlying stochastic individual-level process. Whereas McCaig et al [36] took a cybernetic (algorithmic) approach to the same problem (i.e. scaling up from individual-level interactions to population-level transmission models), our approach provides an analytical treatment in which stochastic processes are modeled explicitely.…”
Section: Overview and Concluding Remarksmentioning
confidence: 99%
“…We will deal with each of these features, starting from the past work, showing important and missing aspects from the ecological point of view. The pioneers of using process algebras for ecological modelling were the group of Norman and Shankland in the Department of Computing Science and Mathematics of Stirling University with the project System Dynamics from Individual Interactions: A process algebra approach to epidemiology [17]. They were the first to underline the importance and usefulness of process algebra as a modelling methodology for epidemiology.…”
Section: Introductionmentioning
confidence: 99%