An optimal surveillance measure against foot and mouth disease in the United States
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Kompas, Tom
Che, Nhu Tuong
Pham, Van Ha
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Crawford School of Economics and Government, The Australian National University
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
jumpdiffusion 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.
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Kompas, T. (2006). An optimal surveillance measure against foot and mouth disease in the United States. International and Development Economics Paper 06-11. Canberra, ACT: Crawford School of Economics and Government, The Australian National University.
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