Research Article Open Access

Flock-Level Seroprevalence Against Ornithobacterium rhinotracheale among Broilers in Uruguay

Authors

CORRESPONDING AUTHOR
K. Suzuki
aboratorio de Diagnostico de Enfermedades de las Aves y los Pilíferos, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, Argentina
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M. Petruccelli
aboratorio de Diagnostico de Enfermedades de las Aves y los Pilíferos, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, Argentina
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G. Trenchi
Area de Patología y Producción Avícola, Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay
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G. Giossa
Area de Patología y Producción Avícola, Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay
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G. Rodriguez
Area de Patología y Producción Avícola, Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay
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H. Trenchi
Area de Patología y Producción Avícola, Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay
DOI 10.3923/ijps.2010.167.170
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Abstract

The objective of this study was to estimate the true prevalence of seropositive broiler flocks against Ornithobacterium rhinotracheale in Uruguay, South America. Seventeen farms of broiler chickens greater than 35 days of age were studied. The field investigation was conducted between October 2008 and April 2009. Individual-chicken sera and pooled sera (containing 10 individual-chicken sera each) were analyzed using a commercial ELISA for the detection of antibody against Ornithobacterium rhinotracheale in chicken serum. A total of 181 pooled samples from the study area representing 17 farms were examined. Fifty-four pools were classified as test positive, because they included at least one individual-chicken classified as positive. On the basis of deterministic approach, the estimates for the apparent prevalence and true prevalence at flock-level were 30% and 17%, respectively. The true prevalence estimate with the Bayesian model (stochastic approach) was slightly lower and having wider confidence intervals [11% (95% CI: 0%-32%)].

Keywords:

Bayesian inference, pooling, rogan-gladen estimator

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How to Cite

Suzuki, K., Petruccelli, M., Trenchi, G., Giossa, G., Rodriguez, G., & Trenchi, H. (2010). Flock-Level Seroprevalence Against Ornithobacterium rhinotracheale among Broilers in Uruguay. International Journal of Poultry Science, 9(2), 167–170. https://doi.org/10.3923/ijps.2010.167.170

References

1.
Arns, C.W., H.M. Hafez, T. Yano, M.C.G.B. Monteiro, M.C. Alves, H.G. Domingues and L.T. Coswig, 1998. Ornithobacterium rhinotracheale: Deteccao sorologica em aves matrizes e frangos de corte. Proceedings of Conferencia Apinco, (CA'98), Sao Paulo, Brazil, pp: 55-55.
2.
Bisgaard, M., A.M. Bojesen, J.P. Christensen, P. Mark, F.M. Paul, M.B. Janet and J.A. Dennis, 2008. Infections Caused by Species of Pasteurellaceae, Ornithobacterium and Riemerella: An Introduction. 6th Edn., W.B. Saunders, Edinburgh, pp: 146-148.
3.
Cameron, A.R., 1999. Survey Toolbox: A Practical Manual and Software Package for Active Surveillance of Livestock Diseases in Developing Countries. Australian Centre for International Agricultural Research, Canberra, ACT, Australia.
4.
De Wit, J.J., P. Mark, F.M. Paul, M.B. Janet and J.A. Dennis, 2008. Practical Epidemiology of Poultry Disease and Multifactorial Conditions: Poultry Diseases. 6th Edn., W.B. Saunders, Edinburgh, UK., pp: 492-509.
5.
Farhoodi, M., M. Kianizadeh, M. Banani, R. Toroghi, S.A. Pourbakhsh, H. Farzin and A. Sadrebazzaz, 2008. Application molecular methods on Escherichia coli and Ornithobacterium rhinotracheale infectious in commercial flocks of Southern Khorasan Province in Iran. Int. J. Infect. Dis., 12: e468-e469.
6.
Herrero, M., K. Suzuki, J. Origlia, L. Nunez and M. Faccioli et al., 2009. Probability mapping for Mycoplasma gallisepticum risk in backyard chickens in Paraguay. Int. J. Poult. Sci., 8: 565-569.
7.
Hintze, J., 2008. PASS 2008 Software. NCSS, Kaysville, UT, USA.
8.
Loock, M.V., T. Geens, L.D. Smit, H. Nauwynck and P.V. Empel et al., 2005. Key role of Chlamydophila psittaci on Belgian turkey farms in association with other respiratory pathogens. Vet. Microbiol., 107: 91-101.
9.
Lunn, D.J., A. Thomas, N. Best and D. Spiegelhalter, 2000. WinBUGS a Bayesian modelling framework: Concepts, structure and extensibility. Stat. Comput., 10: 325-337.
10.
Ministerio de Ganaderia Agricultura y Pesca, 2009. Division contralor de semovientes. Montevideo. http://www.mgap.gub.uy/dgsg/DICOSE/dicose.htm
11.
Origlia, J., K. Suzuki, L. Castro, M. Faccioli and M. Silva et al., 2009. Bayesian mapping for infectious bronchitis virus risk in backyard chickens in Paraguay. Int. J. Poult. Sci., 8: 740-745.
12.
R Development Core Team, 2008. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.citeulike.org/user/Hans45/article/3478262
13.
Rogan, W.J. and B. Gladen, 1978. Estimating prevalence from results of a screening-test. Am. J. Epidemiol., 107: 71-76.
14.
Suzuki, K., J. Origlia, F. Alvarez, M. Faccioli and M. Silva et al., 2009. Relative risk estimation for Mycoplasma synoviae in backyard chickens in Paraguay. Int. J. Poult. Sci., 8: 842-847.
15.
Van Empel, P., P. Mark, F.M. Paul, M.B. Janet and J.A. Dennis, 2008. Ornithobacterium rhinotracheale: Poultry Diseases. 6th Edn., W.B. Saunders, Edinburgh, pp: 164-171.
16.
Vose, D., 2008. Risk Analysis: A Quantitative Guide. 3rd Edn., Wiley, Chichester, UK. Pages: 752.
17.
Carstensen, B., M. Plummer, E. Laara and M. Hills, 2009. Epi: A package for statistical analysis in epidemiology. R Package Version 1.1.7. http://CRAN.R-project.org/package=Epi
18.
Hintze, J., 2007. NCSS 2007 Software. NCSS, Kaysville, UT, USA.

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