Spatial and stochastic simulation to evaluate the impact of events and control measures on the 1997-1998 classical swine fever epidemic in The Netherlands. II. Comparison of control strategies
M. Nielen et al., Spatial and stochastic simulation to evaluate the impact of events and control measures on the 1997-1998 classical swine fever epidemic in The Netherlands. II. Comparison of control strategies, PREV VET M, 42(3-4), 1999, pp. 297-317
Using the spatial, temporal and stochastic simulation model InterCSF, sever
al alternative pre-emptive slaughter strategies that could have been applie
d in the Dutch Classical Swine Fever (CSF) epidemic of 1997-1998 were evalu
ated. Furthermore, effects of changes in some disease-spread and disease-co
ntrol parameters were studied. InterCSF simulates the spread of CSF between
farms through local spread and contacts (animals, transport and persons).
Disease spread is affected by control measures implemented through differen
t mechanisms (e.g. depopulation of infected farms, pre-emptive slaughter, m
ovement control). The starting point for the evaluation of strategies was a
simulated basic scenario, which mimicked the real epidemic. Strategies wer
e compared using epidemiological as well as economic results. Economic resu
lts were generated by a separate model (EpiLoss) that calculated the direct
losses and consequential losses for farmers and related industries. The co
mparison of the different alternatives to the basic scenario led to some ge
neral conclusions on the Dutch CSF-epidemic. Pre-emptive slaughter seemed t
o be an effective strategy to reduce the size of an epidemic, if started at
an early stage. Economically: pre-emptive slaughter was not as expensive a
s expected; the resulting smaller size of the epidemic, combined with less
welfare slaughter, led to much lower overall losses. Furthermore, although
large movement control areas seemed effective in reducing the size of the e
pidemic, Phe total losses were relatively high because of subsequent welfar
e slaughter. If infection probabilities could be reduced, for example by im
proved biosecurity, the resulting epidemics would be much smaller. (C) 1999
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