Schmallenberg virus outbreak in the Netherlands: Routine diagnostics and test results

R.J. Bouwstra, E.A. Kooi, E.P. de Kluijver, E.R.A.M. Verstraten, J.H. Bongers, C. van Maanen, G.J. Wellenberg, A.N. van der Spek, W.H.M. van der Poel

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18 Citations (Scopus)

Abstract

In 2006 and 2007 pig farming in the region of Lombardy, in the north of Italy, was struck by an epidemic of Swine Vesicular Disease virus (SVDV). In fact this epidemic could be viewed as consisting of two sub-epidemics, as the reported outbreaks occurred in two separate time periods. These periods differed in terms of the provinces or municipalities that were affected and also in terms of the timing of implementation of movement restrictions. Here we use a simple mathematical model to analyse the epidemic data, quantifying between-farm transmission probability as a function of between-farm distance. The results show that the distance dependence of between-farm transmission differs between the two periods. In the first period transmission over relatively long distances occurred with higher probability than in the second period, reflecting the effect of movement restrictions in the second period. In the second period however, more intensive transmission occurred over relatively short distances. Our model analysis explains this in terms of the relatively high density of pig farms in the area most affected in this period, which exceeds a critical farm density for between-farm transmission. This latter result supports the rationale for the additional control measure taken in 2007 of pre-emptively culling farms in that area.
Original languageEnglish
Pages (from-to)102-108
Number of pages7
JournalVeterinary Microbiology
Volume165
Issue number1-2
DOIs
Publication statusPublished - 2013

Fingerprint

Routine Diagnostic Tests
Netherlands
Disease Outbreaks
Viruses
farms
farm area
testing
Enterovirus B
Italy
swine
Swine
Human Enterovirus B
control methods
mathematical models
farming systems
Farms
Schmallenberg virus
Agriculture
Theoretical Models

Keywords

  • akabane virus
  • antibodies
  • cattle
  • orthobunyavirus
  • shamonda
  • nigeria
  • bovine

Cite this

Bouwstra, R.J. ; Kooi, E.A. ; de Kluijver, E.P. ; Verstraten, E.R.A.M. ; Bongers, J.H. ; van Maanen, C. ; Wellenberg, G.J. ; van der Spek, A.N. ; van der Poel, W.H.M. / Schmallenberg virus outbreak in the Netherlands: Routine diagnostics and test results. In: Veterinary Microbiology. 2013 ; Vol. 165, No. 1-2. pp. 102-108.
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abstract = "In 2006 and 2007 pig farming in the region of Lombardy, in the north of Italy, was struck by an epidemic of Swine Vesicular Disease virus (SVDV). In fact this epidemic could be viewed as consisting of two sub-epidemics, as the reported outbreaks occurred in two separate time periods. These periods differed in terms of the provinces or municipalities that were affected and also in terms of the timing of implementation of movement restrictions. Here we use a simple mathematical model to analyse the epidemic data, quantifying between-farm transmission probability as a function of between-farm distance. The results show that the distance dependence of between-farm transmission differs between the two periods. In the first period transmission over relatively long distances occurred with higher probability than in the second period, reflecting the effect of movement restrictions in the second period. In the second period however, more intensive transmission occurred over relatively short distances. Our model analysis explains this in terms of the relatively high density of pig farms in the area most affected in this period, which exceeds a critical farm density for between-farm transmission. This latter result supports the rationale for the additional control measure taken in 2007 of pre-emptively culling farms in that area.",
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Schmallenberg virus outbreak in the Netherlands: Routine diagnostics and test results. / Bouwstra, R.J.; Kooi, E.A.; de Kluijver, E.P.; Verstraten, E.R.A.M.; Bongers, J.H.; van Maanen, C.; Wellenberg, G.J.; van der Spek, A.N.; van der Poel, W.H.M.

In: Veterinary Microbiology, Vol. 165, No. 1-2, 2013, p. 102-108.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Bouwstra, R.J.

AU - Kooi, E.A.

AU - de Kluijver, E.P.

AU - Verstraten, E.R.A.M.

AU - Bongers, J.H.

AU - van Maanen, C.

AU - Wellenberg, G.J.

AU - van der Spek, A.N.

AU - van der Poel, W.H.M.

PY - 2013

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N2 - In 2006 and 2007 pig farming in the region of Lombardy, in the north of Italy, was struck by an epidemic of Swine Vesicular Disease virus (SVDV). In fact this epidemic could be viewed as consisting of two sub-epidemics, as the reported outbreaks occurred in two separate time periods. These periods differed in terms of the provinces or municipalities that were affected and also in terms of the timing of implementation of movement restrictions. Here we use a simple mathematical model to analyse the epidemic data, quantifying between-farm transmission probability as a function of between-farm distance. The results show that the distance dependence of between-farm transmission differs between the two periods. In the first period transmission over relatively long distances occurred with higher probability than in the second period, reflecting the effect of movement restrictions in the second period. In the second period however, more intensive transmission occurred over relatively short distances. Our model analysis explains this in terms of the relatively high density of pig farms in the area most affected in this period, which exceeds a critical farm density for between-farm transmission. This latter result supports the rationale for the additional control measure taken in 2007 of pre-emptively culling farms in that area.

AB - In 2006 and 2007 pig farming in the region of Lombardy, in the north of Italy, was struck by an epidemic of Swine Vesicular Disease virus (SVDV). In fact this epidemic could be viewed as consisting of two sub-epidemics, as the reported outbreaks occurred in two separate time periods. These periods differed in terms of the provinces or municipalities that were affected and also in terms of the timing of implementation of movement restrictions. Here we use a simple mathematical model to analyse the epidemic data, quantifying between-farm transmission probability as a function of between-farm distance. The results show that the distance dependence of between-farm transmission differs between the two periods. In the first period transmission over relatively long distances occurred with higher probability than in the second period, reflecting the effect of movement restrictions in the second period. In the second period however, more intensive transmission occurred over relatively short distances. Our model analysis explains this in terms of the relatively high density of pig farms in the area most affected in this period, which exceeds a critical farm density for between-farm transmission. This latter result supports the rationale for the additional control measure taken in 2007 of pre-emptively culling farms in that area.

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