Threat to the French Swine Industry of African Swine Fever: Surveillance, Spread, and Control Perspectives.

ASF epidemiology modeling notifiable disease pig

Journal

Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658

Informations de publication

Date de publication:
2019
Historique:
received: 03 05 2019
accepted: 09 07 2019
entrez: 17 8 2019
pubmed: 17 8 2019
medline: 17 8 2019
Statut: epublish

Résumé

African swine fever (ASF) has one of the highest case-fatality rates among pig diseases. Europe was considered ASF-free for about two decades until 2007, when the virus was introduced into Georgia. Since then, it has been identified throughout Eastern Europe, and reached Belgium in late 2018, increasing the risk of ASF being introduced into neighboring countries-namely Germany, Luxembourg, the Netherlands, and France. French authorities have therefore reinforced surveillance measures to improve the probability of detecting ASF rapidly if it emerges in France. Predictive modeling may help to anticipate the extent of virus spread and evaluate the efficiency of these surveillance measures. A previously published and well-documented model that simulates ASF virus spread was therefore tailored to realistically represent the French situation in terms of the geographic distribution of swine production sites and the commercial trade between them on the one hand, and the implementation of surveillance protocols on the other. The outcomes confirmed the moderate spread of ASF through the swine trade network, a situation that had been previously highlighted for the case of Denmark. However, the diversity of the French pig production landscape has revealed a huge potential for the geographic dispersal of the virus, especially should the index case occur in a low-density area, with a median source-to-case distance reaching 300 km. Free-range herds, which are more likely to have interactions with wild boars, were also identified as potential entrance gate for the virus. Transmissions from conventional herds were quasi-exclusively due to swine movement on the commercial network, representing 99% of transmission events. In contrast, 81% of transmission events occurred in the neighborhood of the index herd when the virus was introduced in free-range herds. The current surveillance measures were found relatively efficient for detecting the virus in large herds, leading to detection rates of 94%. However, infections on smaller production sites-which often have free-range herds-were more difficult to detect and would require screening protocols specifically targeting these smaller herds.

Identifiants

pubmed: 31417915
doi: 10.3389/fvets.2019.00248
pmc: PMC6681701
doi:

Types de publication

Journal Article

Langues

eng

Pagination

248

Références

Transbound Emerg Dis. 2017 Feb;64(1):300-304
pubmed: 25808027
Front Vet Sci. 2016 Feb 02;3:6
pubmed: 26870740
Vet Microbiol. 2016 Sep 25;193:7-16
pubmed: 27599924
BMC Vet Res. 2019 Feb 22;15(1):64
pubmed: 30795759
Nature. 2012 Aug 30;488(7413):565-6
pubmed: 22932353
Transbound Emerg Dis. 2018 Apr;65(2):e264-e271
pubmed: 29120101
PLoS One. 2017 Oct 19;12(10):e0185858
pubmed: 29049305
Porcine Health Manag. 2019 Jan 9;5:6
pubmed: 30637117
Transbound Emerg Dis. 2018 Dec;65(6):1588-1596
pubmed: 29799177
EFSA J. 2018 Jul 11;16(7):e05344
pubmed: 32625980
Transbound Emerg Dis. 2018 May;65 Suppl 1:235-247
pubmed: 28941208
Transbound Emerg Dis. 2012 Apr;59(2):134-44
pubmed: 21831148
Emerg Infect Dis. 2016 Jul;22(7):1201-7
pubmed: 27314611
PLoS One. 2016 Sep 29;11(9):e0161431
pubmed: 27684556
Transbound Emerg Dis. 2019 Jan;66(1):54-55
pubmed: 30383329
Vet Microbiol. 2016 Dec 25;197:142-150
pubmed: 27938676
Front Vet Sci. 2018 Apr 16;5:77
pubmed: 29713637
EFSA J. 2018 Nov 29;16(11):e05494
pubmed: 32625771
BMC Vet Res. 2012 Aug 30;8:149
pubmed: 22935221
Spat Spatiotemporal Epidemiol. 2016 Nov;19:70-77
pubmed: 27839582
Prev Vet Med. 2013 Sep 1;111(3-4):206-19
pubmed: 23791121
Prev Vet Med. 2013 Mar 1;108(4):262-75
pubmed: 23419785
Epidemiol Infect. 2016 Jan;144(1):25-34
pubmed: 25989921
Emerg Infect Dis. 2008 Dec;14(12):1870-4
pubmed: 19046509
Viruses. 2017 May 10;9(5):
pubmed: 28489063
Front Vet Sci. 2018 Mar 19;5:49
pubmed: 29616228

Auteurs

Mathieu Andraud (M)

Ploufragan-Plouzané Laboratory, Epidemiology Health and Welfare Department, ANSES, Ploufragan, France.
Bretagne-Loire University, Rennes, France.

Tariq Halasa (T)

Department of Veterinary and Animal Science, University of Copenhagen, Copenhagen, Denmark.

Anette Boklund (A)

Department of Veterinary and Animal Science, University of Copenhagen, Copenhagen, Denmark.

Nicolas Rose (N)

Ploufragan-Plouzané Laboratory, Epidemiology Health and Welfare Department, ANSES, Ploufragan, France.
Bretagne-Loire University, Rennes, France.

Classifications MeSH