Literature DB >> 19072597

Farm-level economic analysis of the US National Johne's Disease Demonstration Herd Project.

Huybert Groenendaal1, Christopher A Wolf.   

Abstract

OBJECTIVE: To evaluate farm-level economic costs and benefits related to control of paratuberculosis (Johne's disease) in dairy herds in the National Johne's Disease Demonstration Herd Project (NJDDHP).
DESIGN: Economic analysis. SAMPLE POPULATION: 40 dairy herds enrolled in the NJDDHP. PROCEDURES: A farm-level economic analysis of the US NJDDHP was performed. Costs and benefits of management-related practices to control Johne's disease were estimated on the basis of results for 40 dairy operations enrolled in the project. From these costs and benefits, the net present value (NPV) for control of Johne's disease was estimated. Results-Analysis revealed a mean NPV of $34/animal (equivalent to approx $3/animal/y) when there were no testing costs for producers and a mean NPV of -$14/animal when testing costs were borne by the producers. CONCLUSIONS AND CLINICAL RELEVANCE: Management-related practices to control Johne's disease were typically found to be of marginal economic benefit when the costs of testing were not borne by producers. The continuation of the NJDDHP for another 2 to 4 years would allow more precise estimation of the economic benefits of a control program for Johne's disease.

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Year:  2008        PMID: 19072597     DOI: 10.2460/javma.233.12.1852

Source DB:  PubMed          Journal:  J Am Vet Med Assoc        ISSN: 0003-1488            Impact factor:   1.936


  5 in total

1.  Economic consequences of paratuberculosis control in dairy cattle: A stochastic modeling study.

Authors:  R L Smith; M A Al-Mamun; Y T Gröhn
Journal:  Prev Vet Med       Date:  2017-01-10       Impact factor: 2.670

Review 2.  Control of paratuberculosis: who, why and how. A review of 48 countries.

Authors:  Richard Whittington; Karsten Donat; Maarten F Weber; David Kelton; Søren Saxmose Nielsen; Suzanne Eisenberg; Norma Arrigoni; Ramon Juste; Jose Luis Sáez; Navneet Dhand; Annalisa Santi; Anita Michel; Herman Barkema; Petr Kralik; Polychronis Kostoulas; Lorna Citer; Frank Griffin; Rob Barwell; Maria Aparecida Scatamburlo Moreira; Iva Slana; Heike Koehler; Shoor Vir Singh; Han Sang Yoo; Gilberto Chávez-Gris; Amador Goodridge; Matjaz Ocepek; Joseba Garrido; Karen Stevenson; Mike Collins; Bernardo Alonso; Karina Cirone; Fernando Paolicchi; Lawrence Gavey; Md Tanvir Rahman; Emmanuelle de Marchin; Willem Van Praet; Cathy Bauman; Gilles Fecteau; Shawn McKenna; Miguel Salgado; Jorge Fernández-Silva; Radka Dziedzinska; Gustavo Echeverría; Jaana Seppänen; Virginie Thibault; Vala Fridriksdottir; Abdolah Derakhshandeh; Masoud Haghkhah; Luigi Ruocco; Satoko Kawaji; Eiichi Momotani; Cord Heuer; Solis Norton; Simeon Cadmus; Angelika Agdestein; Annette Kampen; Joanna Szteyn; Jenny Frössling; Ebba Schwan; George Caldow; Sam Strain; Mike Carter; Scott Wells; Musso Munyeme; Robert Wolf; Ratna Gurung; Cristobal Verdugo; Christine Fourichon; Takehisa Yamamoto; Sharada Thapaliya; Elena Di Labio; Monaya Ekgatat; Andres Gil; Alvaro Nuñez Alesandre; José Piaggio; Alejandra Suanes; Jacobus H de Waard
Journal:  BMC Vet Res       Date:  2019-06-13       Impact factor: 2.741

3.  Mastitis risk effect on the economic consequences of paratuberculosis control in dairy cattle: A stochastic modeling study.

Authors:  Leslie J Verteramo Chiu; Loren W Tauer; Yrjo T Gröhn; Rebecca L Smith
Journal:  PLoS One       Date:  2019-09-26       Impact factor: 3.240

4.  A nested compartmental model to assess the efficacy of paratuberculosis control measures on U.S. dairy farms.

Authors:  Malinee Konboon; Majid Bani-Yaghoub; Patrick O Pithua; Noah Rhee; Sharif S Aly
Journal:  PLoS One       Date:  2018-10-02       Impact factor: 3.240

5.  Economic evaluation of participation in a voluntary Johne's disease prevention and control program from a farmer's perspective--The Alberta Johne's Disease Initiative.

Authors:  R Wolf; F Clement; H W Barkema; K Orsel
Journal:  J Dairy Sci       Date:  2014-02-26       Impact factor: 4.034

  5 in total

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