Epidemiological and economic modelling of classical swine fever: application to the 1997/1998 Dutch epidemic

Mangen, Marie-Josée J.; Burrell, Alison; Mourits, M.C.M.

doi:10.1016/j.agsy.2003.08.003

Cited by 23 publications

(22 citation statements)

References 16 publications

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“…Berentsen, Dijkhuizen, and Oskam (1992) and Mangen, Burell, and Mourits (2004) which used single-sector models to examine alternate FMD control measures in the Netherlands. Paarlberg, Lee, and Seitzinger (2002) modeled the U.S. agricultural sector with three market levels to quantify the economic impacts of a FMD outbreak in the U.S. Schoenbaum and Disney (2003) used a multi-sector model to compute welfare impacts of alternate FMD control scenarios in the U.S.…”

Section: Economic Analysismentioning

confidence: 99%

The Economic Impacts of a Foot-And-Mouth Disease Outbreak: A Regional Analysis

Pendell

Leatherman

Schroeder

et al. 2007

J. Agric. Appl. Econ.

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Contagious animal diseases like foot-and-mouth disease (FMD) are often referred to as economic diseases because of the magnitude of economic harm they can cause to producers and to local communities. This study demonstrates the local economic impact of a hypothetical FMD outbreak in southwest Kansas, an area with high density of cattle feeding. The expected (most probable) economic impact of the disease hinges heavily on where the incidence of the disease occurs. If the disease were to occur in a cow-calf herd in the region economic impact is expected to be relatively small compared to if it were introduced simultaneously in five large feedlots in southwest Kansas. Disease surveillance, management strategies, mitigation investment, and overall diligence clearly need to be much greater in concentrated cattle feeding and processing areas at the large feeding operations in the region.2

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Section: Economic Analysismentioning

confidence: 99%

The Economic Impacts of a Foot-And-Mouth Disease Outbreak: A Regional Analysis

Pendell

Leatherman

Schroeder

et al. 2007

J. Agric. Appl. Econ.

View full text Add to dashboard Cite

show abstract

“…Preliminary analysis showed that the percentiles of the distributions of epidemic duration and number of infected farms were very stable for more than 50 replications (11,13). Following Jalvingh et al (7), the authors performed 100 replications per scenario in InterCSF_v3 in which all replications began with the same infected multiplier farm in an area with the highest pig density in the Netherlands.…”

Section: Generalmentioning

confidence: 99%

“…This model simulates weekly market prices, domestic off-take and trade flows in piglets, pigs and pig meat at sector level (flow diagram in Fig. 1) and allows the simulation of different trade scenarios (9,11,12,13), although in this paper, only one scenario is presented. A second micro-economic model (EpiCosts) uses output from InterCSF_v3 and the simulated market prices from DUPIMA to calculate the programme costs incurred by the authorities in the Netherlands in controlling the epidemic.…”

Section: Generalmentioning

confidence: 99%

“…The category 'consumers' included the surplus changes of slaughterhouses/processing industry, retailers and final consumers. As in Mangen (9) and Mangen et al (11,12,13), total margins of retailers were assumed to be unchanged in all scenarios. Welfare effects were measured in relation to a reference (non-epidemic) situation.…”

Section: Generalmentioning

confidence: 99%

“…However, DUPIMA slowed the whole process, as the model could handle only one replication at a time. The authors therefore decided to work in two steps (11,13). First, 100 replications per simulated scenario were run in InterCSF_v3.…”

Section: Generalmentioning

confidence: 99%

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