Meta-Analysis of the Prevalence of Echinococcus in Sheep in China From 1983 to 2020
Echinococcosis is a zoonosis caused by the larval stage of cestode species that belong to the genus Echinococcus. The infection of hydatid in sheep is very common in China, especially in the northwestern China. Here, we conducted the first systematic review and meta-analysis of echinococcosis in she...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2021-07-01
|
| Series: | Frontiers in Cellular and Infection Microbiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcimb.2021.711332/full |
| _version_ | 1819080423944224768 |
|---|---|
| author | Yang Gao Yang Gao Wei Wang Wei Wang Chuang Lyu Chuang Lyu Xin-Yu Wei Yu Chen Quan Zhao Zhi-Guang Ran You-Qing Xia |
| author_facet | Yang Gao Yang Gao Wei Wang Wei Wang Chuang Lyu Chuang Lyu Xin-Yu Wei Yu Chen Quan Zhao Zhi-Guang Ran You-Qing Xia |
| author_sort | Yang Gao |
| collection | DOAJ |
| description | Echinococcosis is a zoonosis caused by the larval stage of cestode species that belong to the genus Echinococcus. The infection of hydatid in sheep is very common in China, especially in the northwestern China. Here, we conducted the first systematic review and meta-analysis of echinococcosis in sheep in China. Six databases (PubMed, ScienceDirect, Baidu Library, CNKI, Wanfang, and VIP Chinese Journal Database) were used to retrieve the literatures on echinococcosis in sheep in China from 1983 to 2020, and 74 studies. The random effects model was used in the “meta” package of the R software and the PFT was chosen for rate conversion. The research data were analyzed through subgroup analysis and univariate meta-regression analysis to reveal the factors that lead to research heterogeneity. The combined prevalence of Echinococcus in the selected period was estimated to be 30.9% (192,094/826,406). In the analysis of sampling year, the lowest positive rate was 13.9% (10,296/177,318) after 2011. The highest prevalence of Echinococcus was 51.1% (278/531) in the southwestern China. The highest infection rate in sheep was 20.1% (58,344/597,815) in the liver. The analysis based on age showed that the infection rate of elderly sheep was significantly higher than that in younger animals (P < 0.05). We also evaluated the effects of different geographic and climatic factors on the prevalence of Echinococcus in sheep. The results showed that the prevalence of Echinococcus was higher in high altitude, cold, humid, and high rainfall areas. It is necessary to carry out long-term monitoring and control of echinococcosis, cut off the infection route, and reduce the risk of infection in the high risk areas. |
| first_indexed | 2024-12-21T19:44:39Z |
| format | Article |
| id | doaj.art-e95f9178b49e48bb9bf5d76b461b38dc |
| institution | Directory Open Access Journal |
| issn | 2235-2988 |
| language | English |
| last_indexed | 2024-12-21T19:44:39Z |
| publishDate | 2021-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cellular and Infection Microbiology |
| spelling | doaj.art-e95f9178b49e48bb9bf5d76b461b38dc2022-12-21T18:52:22ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882021-07-011110.3389/fcimb.2021.711332711332Meta-Analysis of the Prevalence of Echinococcus in Sheep in China From 1983 to 2020Yang Gao0Yang Gao1Wei Wang2Wei Wang3Chuang Lyu4Chuang Lyu5Xin-Yu Wei6Yu Chen7Quan Zhao8Zhi-Guang Ran9You-Qing Xia10The Key Sericultural Laboratory of Agricultural Ministry, College of Biotechnology, Southwest University, Chongqing, ChinaResearch and Development Department, Chongqing Auleon Biological Co., Ltd., Chongqing, ChinaCollege of Life Science, Changchun Sci-Tech University, Shuangyang, ChinaCollege of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, ChinaAnimal Health Center, Shandong New Hope Liuhe Group Co., Ltd., Qingdao, ChinaAnimal Health Center, Qingdao Jiazhi Biotechnology Co., Ltd., Qingdao, ChinaCollege of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, ChinaCollege of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, ChinaCollege of Life Science, Changchun Sci-Tech University, Shuangyang, ChinaResearch and Development Department, Chongqing Auleon Biological Co., Ltd., Chongqing, ChinaThe Key Sericultural Laboratory of Agricultural Ministry, College of Biotechnology, Southwest University, Chongqing, ChinaEchinococcosis is a zoonosis caused by the larval stage of cestode species that belong to the genus Echinococcus. The infection of hydatid in sheep is very common in China, especially in the northwestern China. Here, we conducted the first systematic review and meta-analysis of echinococcosis in sheep in China. Six databases (PubMed, ScienceDirect, Baidu Library, CNKI, Wanfang, and VIP Chinese Journal Database) were used to retrieve the literatures on echinococcosis in sheep in China from 1983 to 2020, and 74 studies. The random effects model was used in the “meta” package of the R software and the PFT was chosen for rate conversion. The research data were analyzed through subgroup analysis and univariate meta-regression analysis to reveal the factors that lead to research heterogeneity. The combined prevalence of Echinococcus in the selected period was estimated to be 30.9% (192,094/826,406). In the analysis of sampling year, the lowest positive rate was 13.9% (10,296/177,318) after 2011. The highest prevalence of Echinococcus was 51.1% (278/531) in the southwestern China. The highest infection rate in sheep was 20.1% (58,344/597,815) in the liver. The analysis based on age showed that the infection rate of elderly sheep was significantly higher than that in younger animals (P < 0.05). We also evaluated the effects of different geographic and climatic factors on the prevalence of Echinococcus in sheep. The results showed that the prevalence of Echinococcus was higher in high altitude, cold, humid, and high rainfall areas. It is necessary to carry out long-term monitoring and control of echinococcosis, cut off the infection route, and reduce the risk of infection in the high risk areas.https://www.frontiersin.org/articles/10.3389/fcimb.2021.711332/fullEchinococcussheepEchinococcosismeta-analysisChina |
| spellingShingle | Yang Gao Yang Gao Wei Wang Wei Wang Chuang Lyu Chuang Lyu Xin-Yu Wei Yu Chen Quan Zhao Zhi-Guang Ran You-Qing Xia Meta-Analysis of the Prevalence of Echinococcus in Sheep in China From 1983 to 2020 Frontiers in Cellular and Infection Microbiology Echinococcus sheep Echinococcosis meta-analysis China |
| title | Meta-Analysis of the Prevalence of Echinococcus in Sheep in China From 1983 to 2020 |
| title_full | Meta-Analysis of the Prevalence of Echinococcus in Sheep in China From 1983 to 2020 |
| title_fullStr | Meta-Analysis of the Prevalence of Echinococcus in Sheep in China From 1983 to 2020 |
| title_full_unstemmed | Meta-Analysis of the Prevalence of Echinococcus in Sheep in China From 1983 to 2020 |
| title_short | Meta-Analysis of the Prevalence of Echinococcus in Sheep in China From 1983 to 2020 |
| title_sort | meta analysis of the prevalence of echinococcus in sheep in china from 1983 to 2020 |
| topic | Echinococcus sheep Echinococcosis meta-analysis China |
| url | https://www.frontiersin.org/articles/10.3389/fcimb.2021.711332/full |
| work_keys_str_mv | AT yanggao metaanalysisoftheprevalenceofechinococcusinsheepinchinafrom1983to2020 AT yanggao metaanalysisoftheprevalenceofechinococcusinsheepinchinafrom1983to2020 AT weiwang metaanalysisoftheprevalenceofechinococcusinsheepinchinafrom1983to2020 AT weiwang metaanalysisoftheprevalenceofechinococcusinsheepinchinafrom1983to2020 AT chuanglyu metaanalysisoftheprevalenceofechinococcusinsheepinchinafrom1983to2020 AT chuanglyu metaanalysisoftheprevalenceofechinococcusinsheepinchinafrom1983to2020 AT xinyuwei metaanalysisoftheprevalenceofechinococcusinsheepinchinafrom1983to2020 AT yuchen metaanalysisoftheprevalenceofechinococcusinsheepinchinafrom1983to2020 AT quanzhao metaanalysisoftheprevalenceofechinococcusinsheepinchinafrom1983to2020 AT zhiguangran metaanalysisoftheprevalenceofechinococcusinsheepinchinafrom1983to2020 AT youqingxia metaanalysisoftheprevalenceofechinococcusinsheepinchinafrom1983to2020 |