Caprine arthritis and encephalitis virus infection in goats of Bangladesh: Serological detection and its associated risk factors

Autor: Md. Habibur Rahma, Sonia Akther, Md. Shahin Alam, Md. Zulfekar Ali, Sadek Ahmed
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Veterinary World, Vol 16, Iss 11, Pp 2256-2262 (2023)
Druh dokumentu: article
ISSN: 0972-8988
2231-0916
DOI: 10.14202/vetworld.2023.2256-2262
Popis: Background and Aim: Caprine arthritis and encephalitis (CAE) is a multisystemic persistent viral disease of goat that causes significant economic losses to the farmers and livestock sector. However, no information in this country is available regarding CAE virus (CAEV) infection. Therefore, this study aimed to estimate the seroprevalence of CAEV infection among the goat population in the selected goat-prone districts in Bangladesh and to identify the associated risk factors of the disease. Materials and Methods: From July 2021 to June 2022, 446 goat serum samples were randomly collected from the study area. Goat owners were interviewed using a pretested questionnaire to determine the risk factors. A commercial indirect enzyme-linked immunosorbent assay kit was used to screen blood serum for CAEV antibodies. Logistic regression models were used to analyze risk factors and serological data to identify the potential risk factors. Results: Out of 446 serum samples, 19 samples were seropositive against CAEV. The overall seroprevalence was 4.26% (95% confidence interval [CI]: 2.58–6.57). The multivariable logistic regression model identified sex (Female; odds ratio [OR]: 3.98; 95% CI: 1.13–13.95), animal age (12–48 months; OR: 4.93, 95% CI: 0.63–38.13), and biosecurity status (Poor biosecurity; OR: 1.66, 95% CI: 0.46–5.92) as potential risk factors for CAEV seropositivity. Conclusion: This study revealed the serological detection of CAEV in Bangladeshi goats where seroprevalence is found to be relatively low. To eradicate the disease, screening and culling of infected goats from the herd might be implemented.
Databáze: Directory of Open Access Journals