Parainfluenza-3 and bovine respiratory syncytial virus: intraherd correlation adjusted for sensitivity and specificity

Artículo barra lateral

Publicado sep 5, 2013
https://doi.org/10.21897/rmvz.151
Sección: Artículos Originales
Número: Vol. 18 Núm. 3 (2013): Revista MVZ Córdoba Volumen 18(3) Septiembre-Diciembre 2013
¿Cómo citar?
Segura C, J., Figueroa Ch, D., García-M, L., & Pescador R, A. (2013). Parainfluenza-3 and bovine respiratory syncytial virus: intraherd correlation adjusted for sensitivity and specificity. Revista MVZ Córdoba, 18(3), 3807-3811. https://doi.org/10.21897/rmvz.151
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Licencia Creative Commons
Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.

Contenido principal del artículo

Autores

José Segura C
Universidad Autónoma de Yucatán, Campus de Ciencias Biológicas y Agropecuarias, Mérida, Yucatán, México
Daniel Figueroa Ch
Universidad de Colima, Centro Universitario de Investigación y Desarrollo Agropecuario
Luis García-M
Universidad de Colima, Centro Universitario de Investigación y Desarrollo Agropecuario.
Alfonso Pescador R
Universidad de Colima, Centro Universitario de Investigación y Desarrollo Agropecuario.

Resumen

ABSTRACT

Objective. The purpose of this study was to compare the intra-class correlation coefficients (ICC) and design effects (D) estimates adjusted or unadjusted for sensibility (Se) and specificity (Sp) of the diagnostic tests using a Bayesian procedure. Materials and methods. Sera from 232 animals from 44 randomly selected herds, to detect antibodies against parainfluenza-3 virus (PIV3) from non-vaccinated dual-purpose cattle from Colima Mexico, were used. Only 176 animals from 33 herds were used to evaluate the presence of the bovine respiratory syncytial virus (BRSV). Results. The ICC and D values adjusted and unadjusted for PIV3 were 0.33, 2.73, 0.32, and 2.71, respectively. For BRSV the values were 0.31, 2.64, 0.28 and 2.49. Conclusions. The adjusted or unadjusted ICC and D estimates were similar because of the high Se and Sp of the diagnostic tests and the relatively high prevalence of the diseases here studied.

Palabras clave:

Bovine respiratory syncytial virus
design effect
intraclass correlation
parainfluenza-3 virus

Detalles del artículo

Referencias

1. Branscum AJ, Gardner IA, Wagner BA, McInturff PS, Salman MD. Effect of diagnostic testing error on intra-cluster correlation coefficient estimation. Prev Vet Med 2005; 69:63-75. http://dx.doi.org/10.1016/j.prevetmed.2005.01.015

2. Bohning D, Greiner M. Prevalence estimation under heterogeneity in the example of bovine trypanosomosis in Uganda. Prev Vet Med 1998; 36:11-23. http://dx.doi.org/10.1016/S0167-5877(98)00076-2

3. Bennett S, Woods T, Liyanage WM, Smith DL. A simplified general method for cluster-sampling surveys of health in developing countries. World Health Stat Q 1991; 44:98-106.

4. Solís-Calderón JJ, Segura-Correa JC, Aguilar-Romero F, Segura-Correa VM. Detection of antibodies and risk factors for infection with bovine respiratory syncytial virus and parainfluenza virus-3 in beef cattle of Yucatan, Mexico. Prev Vet Med 2007; 82:102-110. http://dx.doi.org/10.1016/j.prevetmed.2007.05.013

5. Solís-Calderón JJ, Segura-Correa JC, Aguilar-Romero F, Segura-Correa VM. Prevalencia de anticuerpos contra Histophilus somni y factores de riesgo en ganado para carne en Yucatán, México. Vet Mex 2008; 39:29-38.

6. Wagner B, Salman MD. Strategies for two-sampling designs for estimating herd-level prevalence. Prev Vet Med 2004; 66:1-17. http://dx.doi.org/10.1016/j.prevetmed.2004.07.008

7. Branscum AJ, Gardner IA, Johnson WO. Bayesian modelling of animal- and herd-level prevalences. Prev Vet Med 2004; 66:101-112. http://dx.doi.org/10.1016/j.prevetmed.2004.09.009

8. Ridout MS, Demetrio CGB, Firth D. Estimating intraclass correlation for binary data. Biometrics 1999; 55:137-148. http://dx.doi.org/10.1111/j.0006-341X.1999.00137.x

9. Figueroa-Chávez D, García-Márquez LJ, Pescador-Rubio A, Valdivia Flores AG, Segura Correa JC. Detection of antibodies and risk factors for infection with bovine respiratory syncytial virus and parainfluenza virus-3 in dual-purpose farms in Colima, Mexico. Trop Anim Health Prod 2012; 44:1423-1437. http://dx.doi.org/10.1007/s11250-012-0081-9

10. Graham DA, McShane J, Mawhinney KA, McLaren LE, Adair BM, Merza M. Evaluation of a single ELISA system for detection of seroconversion to bovine viral diarrhea virus, bovine respiratory syncytial virus, parainfluenza-3 virus, and infectious bovine rhinotracheitis virus: comparison with testing by virus neutralization and hemagglutination inhibition. J Vet Diag Invest 1998; 10:43-48. http://dx.doi.org/10.1177/104063879801000108

11. Lunn DJ, Thomas A, Best N, Spiegelhalter D. WinBUGS 1.4.3 a Bayesian modeling framework: concepts, structure, and extensibility. Stat Comput 2000; 10:325-337. http://dx.doi.org/10.1023/A:1008929526011

12. Chun-Lung S. Betabuster software. [On line]. [Accessed 2012/03/15.]. Avalibre URL in: http://www.epi.ucdavis.edu/diagnostictests/betabuster.html.

13. Hanson TE, Johnson WO, Gardner IA. Hierarchical models for estimating herd prevalence and test accuracy in the absence of a gold-standard. J Agric Biol Environ Stat 2003; 8:223-239. http://dx.doi.org/10.1198/1085711031526

14. Dean AG, Sullivan KM, Soe MM. OpenEpi: Open Source Epidemiologic Statistics for Public Health, [On line] Version 2.3.1. 2001. [accessed 2012/03/15]. Avalible URL in:www.openepi.com

15. McDermott JJ, Schukken YH. A review of methods used to adjust for cluster effects in explanatory epidemiological studies of animal populations. Prev Vet Med 1994; 18:155-173. http://dx.doi.org/10.1016/0167-5877(94)90073-6

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