{"title":"牛巴贝斯虫病诊断工具箱:不同的目标有意义的结果","authors":"E. Guillemi, M. Farber","doi":"10.1079/cabireviews.2023.0017","DOIUrl":null,"url":null,"abstract":"\n \n Bovine babesiosis is caused by the intraerythrocytic protozoans\n Babesia bovis\n and\n Babesia bigemina\n in tropical and subtropical regions worldwide. The diagnosis of these tick-borne pathogens may represent a challenge due to the low parasitaemias usually found in\n Babesia\n persistent infections and also in acute cases. Additionally, the correct determination of the epidemiological status of a herd is a key point for further diagnostic interpretations. In this regard, in this work, we review the available diagnostic tools and suggest algorithms facing different epidemiological scenarios. Finally, we highlight the need for new sensitive and accurate point-of-care diagnostic tools for field babesiosis detection. The development of an international shared database for epidemiological data recompilation would be beneficial for the further design of diagnostic tools and vaccines.\n","PeriodicalId":399225,"journal":{"name":"CABI Reviews","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bovine babesiosis diagnostic toolbox: Diverse targets for meaningful outcomes\",\"authors\":\"E. Guillemi, M. Farber\",\"doi\":\"10.1079/cabireviews.2023.0017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n Bovine babesiosis is caused by the intraerythrocytic protozoans\\n Babesia bovis\\n and\\n Babesia bigemina\\n in tropical and subtropical regions worldwide. The diagnosis of these tick-borne pathogens may represent a challenge due to the low parasitaemias usually found in\\n Babesia\\n persistent infections and also in acute cases. Additionally, the correct determination of the epidemiological status of a herd is a key point for further diagnostic interpretations. In this regard, in this work, we review the available diagnostic tools and suggest algorithms facing different epidemiological scenarios. Finally, we highlight the need for new sensitive and accurate point-of-care diagnostic tools for field babesiosis detection. The development of an international shared database for epidemiological data recompilation would be beneficial for the further design of diagnostic tools and vaccines.\\n\",\"PeriodicalId\":399225,\"journal\":{\"name\":\"CABI Reviews\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CABI Reviews\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1079/cabireviews.2023.0017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CABI Reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1079/cabireviews.2023.0017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bovine babesiosis diagnostic toolbox: Diverse targets for meaningful outcomes
Bovine babesiosis is caused by the intraerythrocytic protozoans
Babesia bovis
and
Babesia bigemina
in tropical and subtropical regions worldwide. The diagnosis of these tick-borne pathogens may represent a challenge due to the low parasitaemias usually found in
Babesia
persistent infections and also in acute cases. Additionally, the correct determination of the epidemiological status of a herd is a key point for further diagnostic interpretations. In this regard, in this work, we review the available diagnostic tools and suggest algorithms facing different epidemiological scenarios. Finally, we highlight the need for new sensitive and accurate point-of-care diagnostic tools for field babesiosis detection. The development of an international shared database for epidemiological data recompilation would be beneficial for the further design of diagnostic tools and vaccines.