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      Risk factors for African swine fever incursion in Romanian domestic farms during 2019

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          Abstract

          African swine fever (ASF) entered Georgia in 2007 and the EU in 2014. In the EU, the virus primarily spread in wild boar ( Sus scrofa) in the period from 2014–2018. However, from the summer 2018, numerous domestic pig farms in Romania were affected by ASF. In contrast to the existing knowledge on ASF transmission routes, the understanding of risk factors and the importance of different transmission routes is still limited. In the period from May to September 2019, 655 Romanian pig farms were included in a matched case-control study investigating possible risk factors for ASF incursion in commercial and backyard pig farms. The results showed that close proximity to outbreaks in domestic farms was a risk factor in commercial as well as backyard farms. Furthermore, in backyard farms, herd size, wild boar abundance around the farm, number of domestic outbreaks within 2 km around farms, short distance to wild boar cases and visits of professionals working on farms were statistically significant risk factors. Additionally, growing crops around the farm, which could potentially attract wild boar, and feeding forage from ASF affected areas to the pigs were risk factors for ASF incursion in backyard farms.

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          Infectious Dose of African Swine Fever Virus When Consumed Naturally in Liquid or Feed

          African swine fever virus (ASFV) is a contagious, rapidly spreading, transboundary animal disease and a major threat to pork production globally. Although plant-based feed has been identified as a potential route for virus introduction onto swine farms, little is known about the risks for ASFV transmission in feed. We aimed to determine the minimum and median infectious doses of the Georgia 2007 strain of ASFV through oral exposure during natural drinking and feeding behaviors. The minimum infectious dose of ASFV in liquid was 100 50% tissue culture infectious dose (TCID50), compared with 104 TCID50 in feed. The median infectious dose was 101.0 TCID50 for liquid and 106.8 TCID50 for feed. Our findings demonstrate that ASFV Georgia 2007 can easily be transmitted orally, although higher doses are required for infection in plant-based feed. These data provide important information that can be incorporated into risk models for ASFV transmission.
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            Preventive measures aimed at minimizing the risk of African swine fever virus spread in pig farming systems

            African swine fever (ASF) is one of the most severe diseases of pigs; it has a drastic impact on the pig industry, causing serious socio-economic consequences to pig farmers and pork producers. In Europe, there are currently two main clusters of infection; one in Sardinia caused by strains of African swine fever virus (ASFV) belonging to genotype I and another in Eastern Europe caused by strains of ASFV belonging to genotype II. The latter is inducing an acute form of ASF and it represents a serious threat to the pig sector. ASF is a disease for which there is no effective vaccine; therefore, prevention has a pivotal role in the control strategy of the disease. This review describes the main preventive measures to adopt to mitigate the risk of ASF spread in pig farming systems.
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              Mechanical transmission of capripox virus and African swine fever virus by Stomoxys calcitrans.

              Stomoxys calcitrans can act as an efficient mechanical vector of capripox virus and African swine fever virus. Capripox virus was transmitted to a susceptible goat by flies infected 24 hours previously and the virus survived in some flies for at least four days. African swine fever virus was transmitted to susceptible pigs by flies infected one hour and 24 hours previously and the virus survived in these flies for at least two days without apparent loss of titre.
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                Author and article information

                Contributors
                anebo@sund.ku.dk
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                23 June 2020
                23 June 2020
                2020
                : 10
                : 10215
                Affiliations
                [1 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, University of Copenhagen, Faculty of Health and Medical Sciences, Section for Animal Welfare and Disease Control, ; Grønnegårdsvej 8, 1870 Frederiksberg C, Denmark
                [2 ]ISNI 0000 0004 1792 4701, GRID grid.483440.f, European Food Safety Authority, ; Via Carlo Magno 1A, 43126 Parma, Italy
                [3 ]The National Sanitary Veterinary and Food Safety Authority, Bucharest, Piata Free Press no. 1 Body D1, District 1, Post Code 013 701 Bucharest, Romania
                [4 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, University of Copenhagen, Faculty of Health and Medical Sciences, Section for Veterinary Clinical Microbiology, ; Stigbøjlen 4, 1870 Frederiksberg C, Denmark
                [5 ]ISNI 0000 0004 0417 4147, GRID grid.6203.7, Statens Serum Institut, Department of Virus and Microbiological Special Diagnostics, ; Artillerivej 5, 2300 Copenhagen S, Denmark
                [6 ]GRID grid.465383.f, Federal Research Center for Virology and Microbiology, ; 601125 Volginsky, Russia
                [7 ]ISNI 0000 0001 2194 2329, GRID grid.8048.4, SaBio research group at IREC (Universidad de Castilla-La Mancha & CSIC), ; Ronda de Toledo 12, 13003 Ciudad Real, Spain
                [8 ]ISNI 0000 0001 0768 2743, GRID grid.7886.1, Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Veterinary Medicine, University College Dublin, Belfield, ; Dublin, D04 W6F6 Ireland
                [9 ]ISNI 0000 0004 0426 1697, GRID grid.13689.35, Department for Environment Food and Rural Affairs (DEFRA), Exotic Disease Control team, Area 2D, Nobel House, ; 17 Smith Square, London, SW1P 3JR England
                [10 ]ISNI 0000000120346234, GRID grid.5477.1, Utrecht University, Faculty of Veterinary Medicine, ; Yalelaan 7, Utrecht, The Netherlands
                [11 ]ISNI 0000 0001 2166 9211, GRID grid.419788.b, National Veterinary Institute, ; 751 89, Uppsala, Sweden
                [12 ]ISNI 0000 0004 0492 3830, GRID grid.7492.8, Helmholtz Centre for Environmental Research GmbH – UFZ, Department of Ecological Modelling, PG EcoEpi, ; Permoserstr. 15, Leipzig, Germany
                [13 ]ISNI 0000 0001 0671 1127, GRID grid.16697.3f, Estonian University of Life Sciences, Institute of Veterinary Medicine and Animal Sciences, ; Kreutzwaldi 62, Tartu, 51006 Estonia
                [14 ]GRID grid.423966.c, Danish Veterinary and Food Administration, ; Stationsparken 31–33, 2600 Glostrup, Denmark
                Article
                66381
                10.1038/s41598-020-66381-3
                7311386
                32576841
                5d2f6897-3c45-4d56-853c-731966c40751
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 24 January 2020
                : 18 May 2020
                Categories
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                © The Author(s) 2020

                Uncategorized
                disease model,population dynamics
                Uncategorized
                disease model, population dynamics

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