(Q57584130)

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Inference in disease transmission experiments by using stochastic epidemic models

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Inference in disease transmission experiments by using stochastic epidemic models (English)

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Michael Hohle

1

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Erik Jorgensen

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2

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Philip D. O'Neill

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3

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publication date

April 2005

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published in

Journal of the Royal Statistical Society Series C: Applied Statistics

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volume

54

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issue

2

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page(s)

349-366

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maintained by WikiProject

WikiProject Mathematics

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cites work

A general model for stochastic SIR epidemics with two levels of mixing.

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retrieved

21 January 2018

Determination of the onset of the herd-immunity induced by the E2 sub-unit vaccine against classical swine fever virus

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21 January 2018

An improved ELISA for the detection of serum antibodies directed against classical swine fever virus

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21 January 2018

Experimental quantification of vaccine-induced reduction in virus transmission

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21 January 2018

An experimental infection with classical swine fever in E2 sub-unit marker-vaccine vaccinated and in non-vaccinated pigs.

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21 January 2018

Experimental infection of slaughter pigs with classical swine fever virus: transmission of the virus, course of the disease and antibody response

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21 January 2018

Introduction to classical swine fever: virus, disease and control policy

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21 January 2018

Inference for an epidemic when susceptibility varies

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21 January 2018

On the role of social clusters in the transmission of infectious diseases.

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21 January 2018

Bayesian measures of model complexity and fit

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21 January 2018

Within-farm spread of classical swine fever virus--a blueprint for a stochastic simulation model

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21 January 2018

Bayesian analysis of experimental epidemics of foot-and-mouth disease.

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21 January 2018

Identifiers

DOI

10.1111/J.1467-9876.2005.00488.X

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zbMATH Open document ID

1490.62359

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(Q57584130)

Inference in disease transmission experiments by using stochastic epidemic models

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