Advanced search
1 file | 346.56 KB

Bayesian evaluation of three serological tests for the diagnosis of bovine brucellosis in Bangladesh

Author
Organization
Abstract
We evaluated the performance of three serological tests – an immunoglobulin G indirect enzyme linked immunosorbent assay (iELISA), a Rose Bengal test and a slow agglutination test (SAT) – for the diagnosis of bovine brucellosis in Bangladesh. Cattle sera (n = 1360) sourced from Mymensingh district (MD) and a Government owned dairy farm (GF) were tested in parallel. We used a Bayesian latent class model that adjusted for the conditional dependence among the three tests and assumed constant diagnostic accuracy of the three tests in both populations. The sensitivity and specificity of the three tests varied from 84.6% to 93.7%, respectively. The true prevalences of bovine brucellosis in MD and the GF were 0.6% and 20.4%, respectively. Parallel interpretation of iELISA and SAT yielded the highest negative predictive values: 99.9% in MD and 99.6% in the GF; whereas serial interpretation of both iELISA and SAT produced the highest positive predictive value (PPV): 99.9% in the GF and also high PPV (98.9%) in MD. We recommend the use of both iELISA and SAT together and serial interpretation for culling and parallel interpretation for import decisions. Removal of brucellosis positive cattle will contribute to the control of brucellosis as a public health risk in Bangladesh.
Keywords
Animal pathogens, Bayesian analysis, brucellosis, infectious disease epidemiology, veterinary epidemiology

Downloads

  • rahman2019.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 346.56 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Rahman, AKMA, Suzanne Smit, Brecht Devleesschauwer, P Kostoulas, Emmanuel Abatih, C Saegerman, M Shamsuddin, D Berkvens, NK Dhand, and MP Ward. 2019. “Bayesian Evaluation of Three Serological Tests for the Diagnosis of Bovine Brucellosis in Bangladesh.” Epidemiology and Infection 147.
APA
Rahman, A., Smit, S., Devleesschauwer, B., Kostoulas, P., Abatih, E., Saegerman, C., Shamsuddin, M., et al. (2019). Bayesian evaluation of three serological tests for the diagnosis of bovine brucellosis in Bangladesh. EPIDEMIOLOGY AND INFECTION, 147.
Vancouver
1.
Rahman A, Smit S, Devleesschauwer B, Kostoulas P, Abatih E, Saegerman C, et al. Bayesian evaluation of three serological tests for the diagnosis of bovine brucellosis in Bangladesh. EPIDEMIOLOGY AND INFECTION. 2019;147.
MLA
Rahman, AKMA et al. “Bayesian Evaluation of Three Serological Tests for the Diagnosis of Bovine Brucellosis in Bangladesh.” EPIDEMIOLOGY AND INFECTION 147 (2019): n. pag. Print.
@article{8591449,
  abstract     = {We evaluated the performance of three serological tests -- an immunoglobulin G indirect enzyme linked immunosorbent assay (iELISA), a Rose Bengal test and a slow agglutination test (SAT) -- for the diagnosis of bovine brucellosis in Bangladesh. Cattle sera (n = 1360) sourced from Mymensingh district (MD) and a Government owned dairy farm (GF) were tested in parallel. We used a Bayesian latent class model that adjusted for the conditional dependence among the three tests and assumed constant diagnostic accuracy of the three tests in both populations. The sensitivity and specificity of the three tests varied from 84.6\% to 93.7\%, respectively. The true prevalences of bovine brucellosis in MD and the GF were 0.6\% and 20.4\%, respectively. Parallel interpretation of iELISA and SAT yielded the highest negative predictive values: 99.9\% in MD and 99.6\% in the GF; whereas serial interpretation of both iELISA and SAT produced the highest positive predictive value (PPV): 99.9\% in the GF and also high PPV (98.9\%) in MD. We recommend the use of both iELISA and SAT together and serial interpretation for culling and parallel interpretation for import decisions. Removal of brucellosis positive cattle will contribute to the control of brucellosis as a public health risk in Bangladesh.},
  articleno    = {e73},
  author       = {Rahman, AKMA and Smit, Suzanne and Devleesschauwer, Brecht and Kostoulas, P and Abatih, Emmanuel and Saegerman, C and Shamsuddin, M and Berkvens, D and Dhand, NK and Ward, MP},
  issn         = {0950-2688},
  journal      = {EPIDEMIOLOGY AND INFECTION},
  language     = {eng},
  pages        = {9},
  title        = {Bayesian evaluation of three serological tests for the diagnosis of bovine brucellosis in Bangladesh},
  url          = {http://dx.doi.org/10.1017/s0950268818003503},
  volume       = {147},
  year         = {2019},
}

Altmetric
View in Altmetric