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Within farms transmission model for Schmallenberg Virus

Authors: Gubbins, Simon; Cortiñas Abrahantes, José; Wilson, Anthony J.;

Within farms transmission model for Schmallenberg Virus

Abstract

The within-farm dynamics of SBV were described by a stochastic compartmental model, which is an adaptation of Gubbins et al., 2008 and Szmaragd et al., 2009. The model includes a single host species (cattle or sheep), with the total host population divided into the number of susceptible, infected (and infectious) and recovered animals. The duration of viraemia is assumed to follow a gamma distribution. The model sub-divided into stages the infected class. The vector population is as well divided into the number of susceptible, latent (i.e. infected, but not yet infectious) and infectious individuals. To allow for a more realistic gamma distribution for the extrinsic incubation (i.e. latent) period (EIP), the latent class is subdivided into stages each of them with their on mean duration. Once infectious, midges remain so for life. Vector mortality occurs at a constant rate in all classes and is balanced by the recruitment of susceptible vectors, so that the total vector population remains constant.

{"references": ["Gubbins, S , Turner, J , Baylis, M , van der Stede, Y , van Schaik, G , Abrahantes, JC and Wilson, AJ (2014) Inferences about the transmission of Schmallenberg virus within and between farms. Preventive Veterinary Medicine, 116 (4). 380 - 390.", "EFSA (European Food Safety Authority), 2014. Schmallenberg virus: State of Art. EFSA Journal 2014; 12(5):3681, 54 pp. doi:10.2903/j.efsa.2014.3681", "Gubbins S, Carpenter S, Baylis M, Wood JLN and Mellor PS, 2008. Assessing the risk of bluetongue to UK livestock: uncertainty and sensitivity analysis of a temperature-dependent model for the basic reproduction number. Journal of the Royal Society Interface, 5(20):363\u201371"]}

The model is implemented in Fortran and Matlab.

Related Organizations
Keywords

Epidemiology, multi-compartment model, http://id.agrisemantics.org/gacs/C7502, Schmallenberg virus, Modelling, http://id.agrisemantics.org/gacs/C4525, http://id.agrisemantics.org/gacs/C348, http://id.agrisemantics.org/gacs/C656, http://id.agrisemantics.org/gacs/C17847, http://id.agrisemantics.org/gacs/C4332, Vector-borne disease, http://id.agrisemantics.org/gacs/C155, http://id.agrisemantics.org/gacs/C22070, Approximate Bayesian computation, individual

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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