Publication: Evaluation of the risk of classical swine fever (CSF) spread from backyard pigs to other domestic pigs by using the spatial stochastic disease spread model Be-FAST: The example of Bulgaria
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The study presented here is one of the very first aimed at exploring the potential spread of classical swine fever (CSF)from backyard pigs to other domestic pigs. Specifically, we used a spatial stochastic spread model, called Be-FAST, to evaluate the potential spread of CSF virus (CSFV) in Bulgaria, which holds a large number of backyards (96% of the total number of pig farms) and is one of the very few countries for which backyard pigs and farm counts are available. The model revealed that, despite backyard pigs being very likely to become infected, infections from backyard pigs to other domestic pigs were rare. In general, the magnitude and duration of the CSF simulated epidemics were small, with a median [95% PI] number of infected farms per epidemic of 1 [1,4] and a median [95% PI] duration of the epidemic of 44 [17,101] days. CSFV transmission occurs primarily (81.16%) due to indirect contacts (i.e. vehicles, people and local spread) whereas detection of infected premises was mainly (69%) associated with the observation of clinical signs on farm rather than with implementation of tracing or zoning. Methods and results of this study may support the implementation of risk-based strategies more cost-effectively to prevent, control and, ultimately, eradicate CSF from Bulgaria. The model may also be easily adapted to other countries in which the backyard system is predominant. It can also be used to simulate other similar diseases such as African swine fever
Special Issue: One World, One Health, One Virology — Selected papers from the IXth International Congress of Veterinary Virology, organized by the European Society for Veterinary Virology
Alexandrov, T., Kamenovi, P., Depner, K., 2011. Surveillance and control of classical swine fever in Bulgaria, a country with a high proportion of non-professional pig holdings. Epidemiol. et sante´ anim. 59/60, 140–142. Anderson, R.M., May, R.M., 1979. Population biology of infectious diseases: part I. Nature 280, 361–367. Anderson, R.M., May, R.M., 1991. Infectious Diseases of Humans. Oxford University Press, Oxford, UK. Food Chain Evaluation Consortium, 2011. Report on the outcome of the EU co-financed animal disease eradication and monitoring programmes in the MS and the EU as a whole: Final Report DG SANCO. Available at: Http://ec.europa.eu/food/animal/diseases/eradication/docs/fcec_report_ah_eradication_and_monitoring_programmes.pdf. Ivorra, B., Martínez-López, B., Sánchez-Vizcaíno, J.M., Ramos, A.M., 2013. Mathematical formulation and validation of the Be-FAST model for classical swine fever virus spread between and within farms. Ann. Operation Res., http://dx.doi.org/10.1007/s10479-012-1257-4. Jalvingh, A.W., Nielen, M., Maurice, H., Stegeman, A.J., Elbers, A.R.W., Dijkhuizen, A.A., 1999. Spatial and stochastic simulation to evaluate the impact of events and control measures on the 1997–1998 classical swine fever epidemic in The Netherlands. I. Description of simulation model. Vet. Microbiol. 42, 271–295. Jenks, G.F., 1967. The data model concept in statistical mapping. In: Frenzel, K. (Ed.), International Yearbook of Cartography, vol. 7. ICA, Rand McNally & Co, USA, pp. 186–190. Karsten, S., Rave, G., Krieter, J., 2005a. Monte Carlo simulation of classical swine fever epidemics and control. I. General concepts and description of the model. Vet. Microbiol. 108, 187–198. Karsten, S., Rave, G., Krieter, J., 2005b. Monte Carlo simulation of classical swine fever epidemics and control. II. Validation of the model. Vet. Microbiol. 108, 187–198. Lupulovic, D., Lazic, S., Prodanov-Radulovic, J., Jiménez de Oya, N., Escribano-Romero, E., Saiz, J.-C., Petrovic, T., 2010. First serological study of hepatitis E virus infection in backyard pigs from serbia. Food Environ. Virol. 2, 110–113. Martínez-López, B., Ivorra, B., Ngom, D., Ramos, A.M., Sánchez-Vizcaíno, J.M., 2012. A novel spatial and stochastic model to evaluate the within and between farm transmission of classical swine fever virus. II. Validation of the model. Vet Microbiol. 155, 21–32. Martínez-López, B., Ivorra, B., Ramos, A.M., Sánchez-Vizcaıno, J.M., 2010. A novel spatial and stochastic model to evaluate the within and between farm transmission of classical swine fever virus. I. General concepts and description of the model. Vet Microbiol. 147, 300–309. Pozio, E., Alban, L., Boes, J. et al., 2010. Development of harmonised schemes for the monitoring and reporting of Trichinella in animals and foodstuffs in the European Union. SCIENTIFIC REPORT submitted to EFSA. Available at: http://www.efsa.europa.eu/en/supporting/doc/35e.pdf.WAHID, 2012. Available at: http://www.oie.int/wahis_2/public/wahid. php/Wahidhome/Home. (last accessed: 3.10.12).