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2. EpiMAN-FMD: a decision support system for managing epidemics of vesicular disease. Sanson RL; Morris RS; Stern MW Rev Sci Tech; 1999 Dec; 18(3):593-605. PubMed ID: 10588003 [TBL] [Abstract][Full Text] [Related]
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5. Evaluation of control and surveillance strategies for classical swine fever using a simulation model. Dürr S; Zu Dohna H; Di Labio E; Carpenter TE; Doherr MG Prev Vet Med; 2013 Jan; 108(1):73-84. PubMed ID: 22858424 [TBL] [Abstract][Full Text] [Related]
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9. Modeling and real-time prediction of classical swine fever epidemics. Meester R; de Koning J; de Jong MC; Diekmann O Biometrics; 2002 Mar; 58(1):178-84. PubMed ID: 11892689 [TBL] [Abstract][Full Text] [Related]
10. [Once more hog cholera]. Wagenaar G Tijdschr Diergeneeskd; 1998 Mar; 123(6):199. PubMed ID: 9599181 [No Abstract] [Full Text] [Related]
11. A concept for a decision support system based on practical experiences from a national disease emergency. The Dutch experience. Crauwels AP; de Koning R; Nielen M; Elbers AR; Dijkhuizen AA; Tielen MJ Acta Vet Scand Suppl; 2001; 94():61-9. PubMed ID: 11875854 [TBL] [Abstract][Full Text] [Related]
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17. [Analysis of the hog cholera outbreak in Hesse in 1971-1974]. Wachendörfer G; Reinhold GE; Dingeldein W; Berger J; Lorenz J; Frost JW Dtsch Tierarztl Wochenschr; 1978 Apr; 85(4):113-20. PubMed ID: 346338 [No Abstract] [Full Text] [Related]
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19. Observations on an outbreak of swine fever in Barbados. Hutson LR Vet Rec; 1974 Oct; 95(16):363-5. PubMed ID: 4446276 [No Abstract] [Full Text] [Related]
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