Influence of herd structure and type of virus introduction on the spread of bovine viral diarrhoea virus (BVDV) on the spread of bovine viral diarrhoea virus (BVDV) within a dairy herd

Ezanno, Pauline; Fourichon, Christine; Seegers, Henri H.

doi:10.1051/vetres:2008016

Cited by 45 publications

(45 citation statements)

References 26 publications

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“…BVDV introduction could occur due to imported embryos, semen and contaminated trucks/materials). Animal movements and disease transmission patterns in the herd were dependent on the presence of several groups (Ezanno et al, 2008) that were defined by age and lactation length. Three herd sizes were considered in the study: small (70 cows), medium (150 cows) and large (320 cows).…”

Section: Modeling Herd Structurementioning

confidence: 99%

“…from calves to the milking group) was assumed possible through PIs, while disease transmission within groups could take place through both PIs and TI animals (Viet et al, 2004). Disease transmission between groups due to TIs was not modeled, because it was considered negligible as in previous simulation studies (Viet et al, 2004;Ezanno et al, 2008;Courcoul and Ezanno, 2010). BVDV introduction from neighboring herds was excluded.…”

Section: Modeling the Infection Processesmentioning

confidence: 99%

“…In a previously published model (Viet et al, 2004;Ezanno et al, 2007;Ezanno et al, 2008), the betweengroup spread was driven only by contaminated material (Viet et al, 2004;Viet et al, 2007). Furthermore, Viet et al (2004) assumed only one contact between any two groups per day and that susceptible animals would not be recurrently exposed to infectious materials or objects during the same day.…”

Section: Impact Of Model Assumptionsmentioning

confidence: 99%

“…However, Niskanen et al (2000) considered this kind of BVDV spread to be negligible. Moreover, the herd structure can affect the BVDV spread between animal groups within infected herds (Viet et al, 2004;Ezanno et al, 2007;Ezanno et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Stochastic simulation modeling to determine time to detect Bovine Viral Diarrhea antibodies in bulk tank milk

Foddai¹,

Enøe²,

Krogh³

et al. 2014

Preventive Veterinary Medicine

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Section: Modeling Herd Structurementioning

confidence: 99%

Section: Modeling the Infection Processesmentioning

confidence: 99%

Section: Impact Of Model Assumptionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stochastic simulation modeling to determine time to detect Bovine Viral Diarrhea antibodies in bulk tank milk

Foddai¹,

Enøe²,

Krogh³

et al. 2014

Preventive Veterinary Medicine

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“…L'analyse de sensibilité du modèle a mis en évidence les paramètres influençant fortement les résultats, pour lesquels une bonne connaissance de leur valeur biologique est nécessaire (Ezanno et al, 2007 ;Ezanno et al, 2008). Pour un dispositif de qualification du troupeau vis-à-vis de la BVD à partir de tests sur le lait de mélange du troupeau, la variabilité de l'intervalle de temps entre l'introduction du virus dans le troupeau et sa détection a été simulée.…”

Section: Encadré 1 Modélisation De La Diffusion Et Du Dépistage De Lunclassified

Qualification sanitaire des troupeaux, représentations du risque selon les acteurs et les disciplines

Ducrot¹,

Pécaud

Petit³

et al. 2010

Natures Sciences Sociétés

Self Cite

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Rédigé par une dizaine d'auteurs, cet article associe des chercheurs de différentes disciplines et des praticiens autour de la notion de qualification sanitaire des animaux et des troupeaux à propos des maladies infectieuses non règlementées par les pouvoirs publics. Il débouche sur des considérations en termes de risque qui ne se déclinent pas dans les mêmes termes selon les disciplines, ni selon qu'on est vendeur ou acheteur des animaux ... Cet article est l'un des premiers publié dans la revue qui soit issu des travaux conduits dans le cadre du programme Agriculture et Développement durable (ADD), lancé en 2005 à l'initiative des établissements de recherche, Inra, Cirad et Cemagref, et de l'ANR. La RédactionAuteur correspondant : C. Ducrot, ducrot@clermont.inra.fr Chaque discipline apporte ainsi son point de vue sur la notion de risque sous-jacente à la démarche de qualification. Cette approche interdisciplinaire nécessite une coconstruction de la recherche, qui doit dépasser les différences culturelles et épistémologiques entre disciplines. Elle n'obéit pas à un seul type de rationalité, scientifique ou juridico-administrative ; elle mobilise nécessairement des connaissances savantes et des savoirs empiriques et dépend de nombreuses décisions pouvant engendrer convergences ou contradictions.Keywords: sanitary qualification; farm; interdisciplinarity; coconstruction; risk Sanitary qualification of farm animals and risk representations by the stakeholders and scientific disciplines. The aim of sanitary qualification of farm animals is to implement collective strategies to control the spread of infectious diseases. More specifically, it seeks to establish objectively and accurately the status of an animal or animal population, which will be used for animal exchange and trading, with regard to a given infectious disease. The approach is based upon biological knowledge about the infectious agent including infection process and detection means. In addition, mathematical modelling, statistics and probability tools allow integrating these pieces of knowledge as well as taking into account uncertainty and the variability of biological parameters. Finally, Social and Human sciences, and particularly economics and sociology provide an understanding of stakes, social representations, and points of view of individuals and groups, in order to study the demand and acceptability of sanitary qualification for a given infectious disease. In this approach, each discipline contributes its own standpoint on the underlying question of risk. This interdisciplinary approach requires co-constructing the research topic and stepping beyond epistemological and cultural differences between disciplines. Furthermore, designing a qualification results from a collective social construction. It does not solely obey rationality based on science and regulation needs ; it includes necessarily both scientific and common knowledge and is dependant upon various political decisions that can lead to consensus or contradiction.

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Infectious Agents

Passler

Chamorro

2021

Bovine Reproduction

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Influence of herd structure and type of virus introduction on the spread of bovine viral diarrhoea virus (BVDV) on the spread of bovine viral diarrhoea virus (BVDV) within a dairy herd

Cited by 45 publications

References 26 publications

Stochastic simulation modeling to determine time to detect Bovine Viral Diarrhea antibodies in bulk tank milk

Stochastic simulation modeling to determine time to detect Bovine Viral Diarrhea antibodies in bulk tank milk

Qualification sanitaire des troupeaux, représentations du risque selon les acteurs et les disciplines

Infectious Agents

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