Simulating the epidemiological and economic effects of an African swine fever epidemic in industrialized swine populations.

作者: Tariq Halasa , Anette Bøtner , Sten Mortensen , Hanne Christensen , Nils Toft

DOI: 10.1016/J.VETMIC.2016.08.004

关键词:

摘要: Abstract African swine fever (ASF) is a notifiable infectious disease with considerable impact on animal health and currently one of the most important emerging diseases domestic pigs. ASF was introduced into Georgia in 2007 subsequently spread to Russian Federation several Eastern European countries. Consequently, there non-negligible risk towards Western Europe. Therefore it develop tools improve our understanding control for contingency planning. A stochastic dynamic spatial model (DTU-DADS) adjusted simulate virus between herds exemplified by Danish population. simulated via movement, low- or medium-risk contacts local spread. Each epidemic initiated randomly selected herd – either nucleus herd, sow multiple simultaneously. sensitivity analysis conducted input parameters. Given inputs assumptions model, epidemics Denmark are predicted be small, affecting about 14 worst-case scenario. The duration an vary from 1 76 days. Substantial economic damages predicted, median direct costs export losses €12 €349 million, respectively, when were herds. resulted 0 2 new infected varying 5 herds, depending index type.

参考文章(31)
Henrik Stryhn, S. Wayne Martin, Ian Robert Dohoo, Veterinary Epidemiologic Research ,(2009)
P. Biront, F. Castryck, J. Leunen, An epizootic of African swine fever in Belgium and its eradication. Veterinary Record. ,vol. 120, pp. 432- 434 ,(1987) , 10.1136/VR.120.18.432
A. Boklund, T. Halasa, L.E. Christiansen, C. Enøe, Comparing control strategies against foot-and-mouth disease: will vaccination be cost-effective in Denmark? Preventive Veterinary Medicine. ,vol. 111, pp. 206- 219 ,(2013) , 10.1016/J.PREVETMED.2013.05.008
M. J. Keeling, M. E. J. Woolhouse, R. M. May, G. Davies, B. T. Grenfell, Modelling vaccination strategies against foot-and-mouth disease Nature. ,vol. 421, pp. 136- 142 ,(2003) , 10.1038/NATURE01343
Annette Nigsch, Solenne Costard, Bryony A. Jones, Dirk U. Pfeiffer, Barbara Wieland, Stochastic spatio-temporal modelling of African swine fever spread in the European Union during the high risk period. Preventive Veterinary Medicine. ,vol. 108, pp. 262- 275 ,(2013) , 10.1016/J.PREVETMED.2012.11.003
G. Wensvoort, C. Terpstra, M. Bloemraad, Detection of antibodies against African swine fever virus using infected monolayers and monoclonal antibodies Veterinary Record. ,vol. 122, pp. 536- 539 ,(1988) , 10.1136/VR.122.22.536
T. Halasa, M. Nielen, R.B.M. Huirne, H. Hogeveen, Stochastic bio-economic model of bovine intramammary infection Livestock Science. ,vol. 124, pp. 295- 305 ,(2009) , 10.1016/J.LIVSCI.2009.02.019
C. Gallardo, A. Soler, R. Nieto, C. Cano, V. Pelayo, M. A. Sánchez, G. Pridotkas, J. Fernandez-Pinero, V. Briones, M. Arias, Experimental Infection of Domestic Pigs with African Swine Fever Virus Lithuania 2014 Genotype II Field Isolate. Transboundary and Emerging Diseases. ,vol. 64, pp. 300- 304 ,(2017) , 10.1111/TBED.12346