ArticleFrontiers in veterinary science2019
Standardized Risk Analysis Approach Aimed to Evaluate the Last African Swine Fever Eradication Program Performance, in Sardinia.
Article in Frontiers in veterinary science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- African Swine Fever Virus Circulation between Tanzania and Neighboring Countries: A Systematic Review and Meta-Analysis.Viruses · 2021Pooled it
- Integrated Hunting Strategies for African Swine Fever Control in Wild Boar: A Comparative Review of Experiences in European Continent.Veterinary sciences · 2026Review
- Chloroquine phosphate targets the MAPK-ERK pathway to inhibit ASFV SY-1 replication in vitro.Virology journal · 2026Article
- Biosecurity Competencies and Educational Needs Among Veterinary Professionals: A Multinational Cross-Sectional Survey.Transboundary and emerging diseases · 2026Article
- Insights and progress on epidemic characteristics, pathogenesis, and preventive measures of African swine fever virus: A review.Virulence · 2025Review
- Spatial prediction of wild boar distribution in Thailand applications for African swine fever prevention and control.Scientific reports · 2025Article
- Testing a Susceptible Population Density Among Other Explanatory Factors of African Swine Fever Spread in Wild Boar Using the Russian Federation Data, 2007-2023.Transboundary and emerging diseases · 2025Article
- Identifying risk clusters for African swine fever in Korea by developing statistical models.Frontiers in veterinary science · 2024Article
- The Long-Jumping of African Swine Fever: First Genotype II Notified in Sardinia, Italy.Viruses · 2023Article
- African Swine Fever: The State of the Art in Italy.Animals : an open access journal from MDPI · 2023Review
- Article
- Investigation of Risk Factors Associated with the African Swine Fever Outbreaks in the Nizhny Novgorod Region of Russia, 2011-2022.Transboundary and emerging diseases · 2023Article
- Spatiotemporal Drivers of the African Swine Fever Epidemic in Lao PDR.Transboundary and emerging diseases · 2023Article
- Article
- Review of the Pig-Adapted African Swine Fever Viruses in and Outside Africa.Pathogens (Basel, Switzerland) · 2022Review
- Estimation of RViruses · 2022Article
- Analysis of surveillance and prevention plan for African Swine Fever in Italy in 2020.Veterinary medicine and science · 2022Article
- Changes in Estimating the Wild Boar Carcasses Sampling Effort: Applying the EFSA ASF Exit Strategy by Means of theViruses · 2022Article
- Cell Lines for the Development of African Swine Fever Virus Vaccine Candidates: An Update.Vaccines · 2022Review
- African Swine Fever Outbreaks in Lithuanian Domestic Pigs in 2019.Animals : an open access journal from MDPI · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
From more than 40 years African swine fever (ASF) is endemic in Sardinia. Historically, areas at higher risk are located throughout some inland parts of this island where domestic pigs are still illegally kept in semi-wild conditions, living in contact with the local wild boar population, thereby creating perfect conditions for disease endemicity. A new eradication plan (EP-ASF15-18) has been ongoing for the past 3 years, based on a comprehensive strategy adapted to the local situation and focused on strong actions on domestic pig farms, wild boars (WB), and the third Sardinian typical involved population [illegal free-ranging pigs (FRPs)]. A fundamental aspect of the plan is the classification of pig farms as "controlled" or "certified," based on clinical, structural, and biosecurity characteristics. The eradication plan also provides for strong action against illegal farms and pig meat marketing channels. In addition, this plan establishes specific control measures for WB hunting and ASF checks. Each control strategy is specifically based on municipality risk level, to focus actions and resources on areas at higher risk of endemic or re-emerging ASF. Thus, precise risk classification is fundamental to this goal. The aim of the present work was to establish an ASF risk index, to provide a summary measure of the risk level in the Sardinian municipalities. This synthetic measure can express the different aspects of a multidimensional phenomenon with a single numerical value, facilitating territorial and temporal comparisons. To this end, retrospective data (years 2011-2018) were used. The ASF risk index is the result of the algorithmic combination of numerical elementary indicators: disease prevalence in the suid populations, WB compliance with EP-ASF15-18, domestic pig compliance with EP-ASF15-18, and presence of FRPs. A negative binomial regression model has been applied and predictors calculated to obtain a risk index for each municipality. The result of the risk analysis was discussed and considered according to expert opinion and consensus. The results of this study, expressed as risk score and classified into five risk levels, can be used to help define actions to be carried out in each Sardinian municipality, according to the risk assessment for the territory.
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