Neighbourhood contacts and trade movements drive the regional spread of bovine viral diarrhoea virus (BVDV).


Journal

Veterinary research
ISSN: 1297-9716
Titre abrégé: Vet Res
Pays: England
ID NLM: 9309551

Informations de publication

Date de publication:
29 Apr 2019
Historique:
received: 29 10 2018
accepted: 11 04 2019
entrez: 1 5 2019
pubmed: 1 5 2019
medline: 14 6 2019
Statut: epublish

Résumé

To explore the regional spread of endemic pathogens, investigations are required both at within and between population levels. The bovine viral diarrhoea virus (BVDV) is such a pathogen, spreading among cattle herds mainly due to trade movements and neighbourhood contacts, and causing an endemic disease with economic consequences. To assess the contribution of both transmission routes on BVDV regional and local spread, we developed an original epidemiological model combining data-driven and mechanistic approaches, accounting for heterogeneous within-herd dynamics, animal movements and neighbourhood contacts. Extensive simulations were performed over 9 years in an endemic context in a French region with high cattle density. The most uncertain model parameters were calibrated on summary statistics of epidemiological data, highlighting that neighbourhood contacts and within-herd transmission should be high. We showed that neighbourhood contacts and trade movements complementarily contribute to BVDV spread on a regional scale in endemically infected and densely populated areas, leading to intense fade-out/colonization events: neighbourhood contacts generate the vast majority of outbreaks (72%) but mostly in low immunity herds and correlated to a rather short presence of persistently infected animals (P); trade movements generate fewer infections but could affect herds with higher immunity and generate a prolonged presence of P. Both movements and neighbourhood contacts should be considered when designing control or eradication strategies for densely populated region.

Identifiants

pubmed: 31036076
doi: 10.1186/s13567-019-0647-x
pii: 10.1186/s13567-019-0647-x
pmc: PMC6489178
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

30

Subventions

Organisme : Agence Nationale de la Recherche
ID : ANR-10-BINF-07
Organisme : Agence Nationale de la Recherche
ID : ANR-16-CE32-0007-01
Organisme : European Regional Development Fund
ID : FEDER Pays de la Loire
Organisme : European fund for inventive researcher
ID : Agreenskills plus

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Auteurs

Luyuan Qi (L)

BIOEPAR, Oniris, INRA, CS40706, 44307, Nantes, France.
MaIAGE, INRA, Université Paris-Saclay, 78350, Jouy-en-Josas, France.

Gaël Beaunée (G)

BIOEPAR, Oniris, INRA, CS40706, 44307, Nantes, France.

Sandie Arnoux (S)

BIOEPAR, Oniris, INRA, CS40706, 44307, Nantes, France.

Bhagat Lal Dutta (BL)

BIOEPAR, Oniris, INRA, CS40706, 44307, Nantes, France.
MaIAGE, INRA, Université Paris-Saclay, 78350, Jouy-en-Josas, France.

Alain Joly (A)

Groupement de Défense Sanitaire de Bretagne, 56019, Vannes, France.

Elisabeta Vergu (E)

MaIAGE, INRA, Université Paris-Saclay, 78350, Jouy-en-Josas, France.

Pauline Ezanno (P)

BIOEPAR, Oniris, INRA, CS40706, 44307, Nantes, France. pauline.ezanno@inra.fr.

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Classifications MeSH