A dynamic model for cost-benefit analyses of foot-and-mouth disease control strategies
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Cited by (81)
Asymptotical profiles of an age-structured foot-and-mouth disease with nonlocal diffusion on a spatially heterogeneous environment
2023, Journal of Differential EquationsModeling the transmission dynamics of foot and mouth disease in Amhara region, Ethiopia
2020, Preventive Veterinary MedicineCitation Excerpt :In the Netherlands, R0 of FMD in calves through contact and contaminated environment by excretions and secretions of FMD virus were estimated to be 2.5 (95%CI: 1.3, 5.0) and 1.9 (95%CI: 1.007, 3.8) respectively (Bravo de Rueda et al., 2015). Mathematical models for foot and mouth disease (FMD) transmission have been extensively used to inform policy-making in the disease control, both for contingency planning (Bates et al., 2003; Berentsen et al., 1992) before an epidemic, and for real time evaluation of the control strategies applied during an epidemic (Keeling et al., 2001; Morris et al., 2001). Most FMD models in the literature are based on an (hypothetical) incursion of the disease in disease free developed countries for the purpose of evaluation of the disease impact and are basically spatially explicit farm based transmission models (Bates et al., 2003; Durand and Mahul, 2000; Keeling et al., 2001; Martínez-López et al., 2010).
A vertically linked dynamic partial equilibrium model to analyze market shocks caused by HPAI control in the Dutch egg production chain
2019, NJAS - Wageningen Journal of Life SciencesCitation Excerpt :These supply shocks distort the market and consequently result in price changes and hence economic impacts for non-disease affected producers as well, the so-called indirect consequential costs (ICC) and aftermath costs (AC) during and after the eradication of the disease respectively. Particularly in case of large outbreaks in DPPAs, the ICC and AC largely outweigh the DC and DCC (Berentsen et al., 1992; Mangen and Burell, 2003). Besides supply shocks, three other factors can have a market distorting effect.
A modelling approach to support dynamic decision-making in the control of FMD epidemics
2010, Preventive Veterinary MedicineData-driven dynamical modelling of the transmission of African swine fever in a few places in China
2022, Transboundary and Emerging Diseases