An Optimal Surveillance Measure Against Foot-and-Mouth Disease in the United States

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.


Issue Date:
2007
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/10354
Total Pages:
22
JEL Codes:
Q1; Q17; Q18
Series Statement:
Conference Paper




 Record created 2017-04-01, last modified 2017-08-23

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