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Prevalence of bovine coronavirus in cattle in China: A systematic review and meta-analysis.
- Source :
-
Microbial pathogenesis [Microb Pathog] 2023 Mar; Vol. 176, pp. 106009. Date of Electronic Publication: 2023 Feb 02. - Publication Year :
- 2023
-
Abstract
- Bovine coronavirus (BCoV) is one of the important pathogens that cause calf diarrhea (CD), winter dysentery (WD), and the bovine respiratory disease complex (BRDC), and spreads worldwide. An infection of BCoV in cattle can lead to death of young animals, stunted growth, reduced milk production, and milk quality, thus bringing serious economic losses to the bovine industry. Therefore, it is necessary to prevent and control the spread of BCoV. Here, a systematic review and meta-analysis was conducted to assess the prevalence of BCoV in cattle in China before 2022. A total of 57 articles regarding the prevalence of BCoV in cattle in China were collected from five databases (PubMed, ScienceDirect, CNKI, VIP, and Wan Fang). Based on the inclusion criteria, a total of 15,838 samples were included, and 6,136 were positive cases. The overall prevalence of BCoV was 30.8%, with the highest prevalence rate (60.5%) identified in South China and the lowest prevalence (15.6%) identified in Central China. We also analyzed other subgroup information, included sampling years, sample sources, detection methods, breeding methods, age, type of cattle, presence of diarrhea, and geographic and climatic factors. The results indicated that BCoV was widely prevalent in China. Among all subgroups, the sample sources, detection methods, breeding methods, and presence or absence of diarrheal might be potential risk factors responsible for BCoV prevalence. It is recommended to strengthen the detection of BCoV in cattle, in order to effectively control the spread of BCoV.<br />Competing Interests: Declaration of competing interest The authors have no conflict of interest.<br /> (Copyright © 2023 Elsevier Ltd. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1096-1208
- Volume :
- 176
- Database :
- MEDLINE
- Journal :
- Microbial pathogenesis
- Publication Type :
- Academic Journal
- Accession number :
- 36736543
- Full Text :
- https://doi.org/10.1016/j.micpath.2023.106009