Farm management practices, biosecurity and influenza a virus detection in swine farms: a comprehensive study in colombia.
Bayesian generalized linear model
Epidemiology
Hierarchical cluster analysis
Husbandry practices
Multiple correspondence analysis
Swine biosecurity
Swine farms
Swine influenza
Journal
Porcine health management
ISSN: 2055-5660
Titre abrégé: Porcine Health Manag
Pays: England
ID NLM: 101684126
Informations de publication
Date de publication:
05 Oct 2022
05 Oct 2022
Historique:
received:
27
04
2022
accepted:
22
09
2022
revised:
22
07
2022
entrez:
5
10
2022
pubmed:
6
10
2022
medline:
6
10
2022
Statut:
epublish
Résumé
Biosecurity protocols (BP) and good management practices are key to reduce the risk of introduction and transmission of infectious diseases into the pig farms. In this observational cross-sectional study, survey data were collected from 176 pig farms with inventories over 100 sows in Colombia. We analyzed a complex survey dataset to explore the structure and identify clustering patterns using Multiple Correspondence Analysis (MCA) of swine farms in Colombia, and estimated its association with Influenza A virus detection. Two principal dimensions contributed to 27.6% of the dataset variation. Farms with highest contribution to dimension 1 were larger farrow-to-finish farms, using self-replacement of gilts and implementing most of the measures evaluated. In contrast, farms with highest contribution to dimension 2 were medium to large farrow-to-finish farms, but implemented biosecurity in a lower degree. Additionally, two farm clusters were identified by Hierarchical Cluster Analysis (HCA), and the odds of influenza A virus detection was statistically different between clusters (OR 7.29, CI: 1.7,66, p = < 0.01). Moreover, after logistic regression analysis, three important variables were associated with higher odds of influenza detection: (1) "location in an area with a high density of pigs", (2) "farm size", and (3) "after cleaning and disinfecting, the facilities are allowed to dry before use". Our results revealed two clustering patterns of swine farms. This systematic analysis of complex survey data identified relationships between biosecurity, husbandry practices and influenza status. This approach helped to identify gaps on biosecurity and key elements for designing successful strategies to prevent and control swine respiratory diseases in the swine industry.
Identifiants
pubmed: 36199147
doi: 10.1186/s40813-022-00287-6
pii: 10.1186/s40813-022-00287-6
pmc: PMC9532805
doi:
Types de publication
Journal Article
Langues
eng
Pagination
42Subventions
Organisme : Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
ID : 785-2017
Commentaires et corrections
Type : ErratumIn
Informations de copyright
© 2022. The Author(s).
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