ArticlePloS one2018
Descriptive and multivariate analysis of the pig sector in Georgia and its implications for disease transmission.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Mitochondrial Phylogeography of Wild Boars,Animals : an open access journal from MDPI · 2025Article
- Improving Agri-environmental Schemes: Suggestions from Farmers and Nature Managers in a Central European Region.Environmental management · 2024Article
- A combined methodological approach to characterize pig farming and its influence on the occurrence of interactions between wild boars and domestic pigs in Corsican micro-regions.Frontiers in veterinary science · 2024Article
- Network analysis of pig movement data as an epidemiological tool: an Austrian case study.Scientific reports · 2023Article
- Innovative Research Offers New Hope for Managing African Swine Fever Better in Resource-Limited Smallholder Farming Settings: A Timely Update.Pathogens (Basel, Switzerland) · 2023Review
- The Distribution Characteristics of Aerosol Bacteria in Different Types of Pig Houses.Animals : an open access journal from MDPI · 2022Article
- Network analysis of live pig movements in North Macedonia: Pathways for disease spread.Frontiers in veterinary science · 2022Article
- The first genotype II African swine fever virus isolated in Africa provides insight into the current Eurasian pandemic.Scientific reports · 2021Article
- ASF Exit Strategy: Providing cumulative evidence of the absence of African swine fever virus circulation in wild boar populations using standard surveillance measures.EFSA journal. European Food Safety Authority · 2021Article
- Review
- Descriptive and Multivariate Analysis of the Pig Sector in North Macedonia and Its Implications for African Swine Fever Transmission.Frontiers in veterinary science · 2021Article
- African Swine Fever in Smallholder Sardinian Farms: Last 10 Years of Network Transmission Reconstruction and Analysis.Frontiers in veterinary science · 2021Article
- Risk for African Swine Fever Introduction Into Kazakhstan.Frontiers in veterinary science · 2021Article
- Classical Swine Fever in a Cuban Zone Intended for Eradication: Spatiotemporal Clustering and Risk Factors.Frontiers in veterinary science · 2020Article
- Transboundary spread of pig diseases: the role of international trade and travel.BMC veterinary research · 2019Review
- Epidemiological considerations on African swine fever in Europe 2014-2018.Porcine health management · 2019Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGeorgia is a country in the Caucasus region with a traditional backyard and highly variable pig farming system. The practices of such sectors have seldom been described and analyzed to better understand their implication in the introduction and spread of infectious pig diseases. Moreover, the Georgian pig sector was badly hit by an epidemic of African swine fever in 2007 that quickly spread throughout the region. MATERIALS AND
methodsWe interviewed 487 pig farmers and 116 butchers using closed questionnaires on socioeconomic issues related to pig production, husbandry practices, biosecurity, marketing and movements, and disease awareness. Surveys were conducted in four regions of Georgia and descriptive statistics were computed. Factorial analyses of mixed data and hierarchical clustering on principal components were applied to study the relationship among collected variables for both farmers and butchers.
resultsResults show that pig farming in Georgia is a non-professional sector, highly heterogeneous by region, characterized by smallholdings of few animals, with low inputs, outdated technologies, and poor biosecurity, which all translates into low outputs and productivity. The hierarchical clustering on principal components confirmed that there are five major production and husbandry strategies, which match the four regions where the study was conducted.
conclusionsOur results are the first step to quantify biosecurity gaps and risky behaviours, develop risk profiles, and identify critical control points across the market chain where to implement mitigation measures. This study provides the baseline information needed to design realistic and sustainable prevention, surveillance and control strategies.
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