Literature DB >> 12002547

Rate of inter-herd transmission of classical swine fever virus by different types of contact during the 1997-8 epidemic in The Netherlands.

J A Stegeman1, A R W Elbers, A Boum, M C M de Jong.   

Abstract

In this study we quantified the rate at which classical swine fever had been transmitted by several different types of inter-herd contact during the 1997-8 epidemic in The Netherlands. During that epidemic 428 CSFV-infected pig herds were detected, 403 of which were include in this study. The estimated rates of transmission were 0.065 per shipment of live pigs, 0.011 per contact by a pig transportation lorry, 0.0068 per person contact, 0.0007 per dose of semen, 0.0065 per contact with a potentially contaminated pig assembly point, 0.027 per week per infected herd within a radius of 500 metres and 0.0078 per week per infected herd at a distance between 500 and 1000 metres. These transmission rates can be used to optimize the strategy to stop future epidemics of CSF in The Netherlands. In addition, the analysis demonstrated in this paper, can be used to quantify CSFV transmission rates from other epidemics.

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Year:  2002        PMID: 12002547      PMCID: PMC2869822          DOI: 10.1017/s0950268801006483

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  16 in total

1.  Modelling the effectiveness and risks of vaccination strategies to control classical swine fever epidemics.

Authors:  Jantien A Backer; Thomas J Hagenaars; Herman J W van Roermund; Mart C M de Jong
Journal:  J R Soc Interface       Date:  2008-12-03       Impact factor: 4.118

2.  Interaction effects between sender and receiver processes in indirect transmission of Campylobacter jejuni between broilers.

Authors:  Bram A D van Bunnik; Thomas J Hagenaars; Nico M Bolder; Gonnie Nodelijk; Mart C M de Jong
Journal:  BMC Vet Res       Date:  2012-07-25       Impact factor: 2.741

3.  Estimating the per-contact probability of infection by highly pathogenic avian influenza (H7N7) virus during the 2003 epidemic in The Netherlands.

Authors:  Amos Ssematimba; Armin R W Elbers; Thomas J Hagenaars; Mart C M de Jong
Journal:  PLoS One       Date:  2012-07-13       Impact factor: 3.240

4.  Quantitative analysis of transmission parameters for bluetongue virus serotype 8 in Western Europe in 2006.

Authors:  Aline A de Koeijer; Gert Jan Boender; Gonnie Nodelijk; Christoph Staubach; Estelle Meroc; Armin R W Elbers
Journal:  Vet Res       Date:  2011-03-24       Impact factor: 3.683

5.  Modelling the wind-borne spread of highly pathogenic avian influenza virus between farms.

Authors:  Amos Ssematimba; Thomas J Hagenaars; Mart C M de Jong
Journal:  PLoS One       Date:  2012-02-14       Impact factor: 3.240

6.  Potential for epidemic take-off from the primary outbreak farm via livestock movements.

Authors:  Michael J Tildesley; Victoriya V Volkova; Mark Ej Woolhouse
Journal:  BMC Vet Res       Date:  2011-11-24       Impact factor: 2.741

7.  Pattern formation in multiplex networks.

Authors:  Nikos E Kouvaris; Shigefumi Hata; Albert Díaz- Guilera
Journal:  Sci Rep       Date:  2015-06-04       Impact factor: 4.379

8.  Risk maps for the spread of highly pathogenic avian influenza in poultry.

Authors:  Gert Jan Boender; Thomas J Hagenaars; Annemarie Bouma; Gonnie Nodelijk; Armin R W Elbers; Mart C M de Jong; Michiel van Boven
Journal:  PLoS Comput Biol       Date:  2007-03-05       Impact factor: 4.475

9.  Local spread of classical swine fever upon virus introduction into The Netherlands: mapping of areas at high risk.

Authors:  Gert Jan Boender; Gonnie Nodelijk; Thomas J Hagenaars; Armin R W Elbers; Mart C M de Jong
Journal:  BMC Vet Res       Date:  2008-02-25       Impact factor: 2.741

10.  The influence of between-farm distance and farm size on the spread of classical swine fever during the 1997-1998 epidemic in The Netherlands.

Authors:  Gert Jan Boender; Rob van den Hengel; Herman J W van Roermund; Thomas J Hagenaars
Journal:  PLoS One       Date:  2014-04-18       Impact factor: 3.240

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