Bayesian Evaluation of Three Serological Tests for Diagnosis of Brucella infections in Dromedary Camels Using Latent Class Models.

Autor: Elsohaby I; Department of Infectious Diseases and Public Health, Jockey Club of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong; Centre for Applied One Health Research and Policy Advice (OHRP), City University of Hong Kong, Hong Kong SAR, China; Department of Animal Medicine, Division of Infectious Diseases, Faculty of Veterinary Medicine, Zagazig University, Zagazig 44511, Egypt. Electronic address: ielsohaby@upei.ca., Kostoulas P; Laboratory of Epidemiology and Artificial Intelligence, Faculty of Public and One Health, School of Health Sciences, University of Thessaly, Karditsa GR 43100, Greece., Elsayed AM; Agriculture Research Center, Animal Health Research Institute-Al-Shalateen Provincial Lab, Egypt., Ahmed HA; Department of Zoonoses, Faculty of Veterinary Medicine, Zagazig University, Zagazig 44511, Egypt., El-Diasty MM; Agriculture Research Center, Animal Health Research Institute-Mansoura Provincial Lab, Egypt., Wareth G; Friedrich-Loeffler-Institute, Institute of Bacterial Infections and Zoonoses (IBIZ), Naumburger Str. 96a, D-07743 Jena, Germany; Bacteriology, Immunology, and Mycology Department, Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh 13736, Egypt., Ghanem FM; Department of Animal Medicine, Division of Infectious Diseases, Faculty of Veterinary Medicine, Suez Canal University, Egypt., Arango-Sabogal JC; Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec J2S 2M2, Canada.
Jazyk: angličtina
Zdroj: Preventive veterinary medicine [Prev Vet Med] 2022 Nov; Vol. 208, pp. 105771. Date of Electronic Publication: 2022 Sep 27.
DOI: 10.1016/j.prevetmed.2022.105771
Abstrakt: Brucellosis is a zoonotic disease with significant economic and public health impacts. The disease has been found in ruminants, including camels, but clinical diagnosis of camel brucellosis is difficult due to the lack of clinical signs. Thus, this study aimed to estimate the sensitivity (Se) and specificity (Sp) of the Buffered Plate Antigen Test (BPAT), Rose Bengal Test (RBT), and indirect ELISA (i-ELISA) for the diagnosis of Brucella infection in dromedary camels imported from Sudan to Egypt. The secondary objective of the study was to calculate the animal-level true prevalence of Brucella infection in imported camels. A cross-sectional study was carried out on 921 apparently healthy camels randomly selected from those imported from Sudan and kept in the quarantine stations in the Shalateen area of the Red Sea Governorate, Egypt, between June 2018 and January 2019. Serum samples were collected and analyzed using BPAT, RBT, and i-ELISA. The posterior estimates [medians and 95% Bayesian probability intervals (95% BPI)] for Se and Sp of the three serological tests were obtained using Bayesian latent class models (BLCMs). The BLCM was fitted with the assumption that the BPAT and RBT tests were conditionally dependent on the true brucellosis status of camels. All tests had comparable and high Se (>86%) and Sp (>98%). The animal-level true prevalence of Brucella infection in imported camels was 8.6% (95% BPI: 6.8 - 10.7). Based on these findings, the three assays could be used for the initial screening of Brucella infection in camels. However, the BPAT and RBT are more suitable for use in camel brucellosis control and eradication program in Egypt because of their low unit cost and fast turnaround time compared to the i-ELISA. In addition, BPAT and RBT could be performed in the field where in-vivo tests are rarely used due to logistic and management constraints.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Conflict of interest The authors declare no conflicts of interest.
(Copyright © 2022 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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