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Provedor de dados:  AgEcon
País:  United States
Título:  An Optimal Surveillance Measure Against Foot-and-Mouth Disease in the United States
Autores:  van Ha, Pham
Che, Tuong Nhu
Kompas, Tom
Data:  2007-04-11
Ano:  2007
Palavras-chave:  Surveillance measures
Border quarantine
Disease incursion and spread
Foot- and-Mouth disease
Stochastic optimal control
Livestock Production/Industries
Q1
Q17
Q18
Resumo:  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.
Tipo:  Conference Paper or Presentation
Idioma:  Inglês
Identificador:  25667

http://purl.umn.edu/10354
Editor:  AgEcon Search
Relação:  Australian Agricultural and Resource Economics Society - 2007>2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand
Conference Paper
Formato:  22

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