Monte Carlo simulation of classical swine fever epidemics and control. I. General concepts and description of the model.
A Monte Carlo simulation has been developed to describe the spread of classical swine fever virus between farms within a certain region. The data of the farms can be imported and considered individually. Transmission occurs via the infection routes direct animal and indirect person and vehicle contact, as well as by contaminated sperm and local spread. Parameters, such as incubation period and probability of detection, can be varied by the user and their impact on disease spread can be studied. The control measures stamping-out, movement control and pre-emptive slaughter in circular restriction areas as well as contact tracing can be applied and their effect on disease spread can thus be analysed. The numbers of culled and restricted farms and animals per epidemic and per day within an epidemic, the epidemic duration and the total length of restrictions per restricted farm are given. In an example, simulation runs were performed under the condition of application of all four-control measures. Because no real farm data were available, a test area was generated stochastically with a farm density of 1.3 farms/km(2). The distributions of the number of infected farms per epidemic and the epidemic length are shown.
Karsten
S
S
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, Hermann-Rodewald-Str. 6, 24118 Kiel, Germany. skarsten@tierzucht.uni-kiel.de
Rave
G
G
Krieter
J
J
D000818:Animals; D006691:Classical Swine Fever / Q000453:epidemiology* / Q000635:transmission / Q000821:virology; D006692:Classical Swine Fever Virus; D003198:Computer Simulation; D004196:Disease Outbreaks / Q000662:veterinary*; D005858:Germany / Q000453:epidemiology; D008954:Models, Biological; D009010:Monte Carlo Method; D013269:Stochastic Processes; D013552:Swine