@article{vanHa:10354,
      recid = {10354},
      author = {van Ha, Pham and Che, Tuong Nhu and Kompas, Tom},
      title = {An Optimal Surveillance Measure Against Foot-and-Mouth  Disease in the United States},
      address = {2007},
      number = {418-2016-26449},
      series = {Conference Paper},
      pages = {22},
      year = {2007},
      abstract = {Surveillance programs on farms and in the local  environment provide an essential protection against the  importation and spread of exotic diseases. Combined with  border quarantine measures, these programs protect both  consumers and producers from major health concerns and  disease incursions that can potentially destroy local  agricultural production and supporting industries, as well  as generate substantial losses in trade and tourism.  However, surveillance programs also impose costs in the  form of expenditures on the surveillance program itself,  along with the costs of disease management and eradication  should an incursion occur. Taking border quarantine  expenditures as given, this paper develops a stochastic  optimal control model (with a jump-diffusion process) to  determine the optimal level of surveillance activity  against a disease incursion by minimizing the present value  of the major direct and indirect costs of the disease, as  well as the cost of the surveillance and disease management  and eradication programs. The model is applied to the case  of a potential entry and spread of Foot-and-Mouth Disease  in the United States. Results show that current  surveillance expenditures are far less than optimal.},
      url = {http://ageconsearch.umn.edu/record/10354},
      doi = {https://doi.org/10.22004/ag.econ.10354},
}