PDF(Pubmed)
Abstract：
BACKGROUND: Toxoplasma gondii, a cosmopolitan protozoan parasite causes toxoplasmosis in humans and many species of domestic and wild animals. T. gondii instigates significant economic losses in sheep and goat farming industry and can lead to abortion, stillbirth, congenital malformations and neonatal losses. The objective of this protocol is to evaluate worldwide seroprevalence of T. gondii exposure in goats using Bayesian hierarchical meta-analysis and geographic information system (GIS).
METHODS: A comprehensive literature search will be conducted using search engines, including Web of Science, ScienceDirect, Scopus, PubMed, ProQuest, EMBASE, PROSPERO Register and, Google Scholar without date and language restrictions. The authors search for cross-sectional studies that determine the seroprevalence of T. gondii in goats. Two reviewers will independently screen, selected studies; also, they will extract data, and assess the risk of bias. In case(s) of disagreement, a consensus will be reached with the help of a third author. The Bayesian hierarchical meta-analysis will use to estimate country and worldwide true seroprevalence of T. gondii, which is consist of the sensitivity and specificity of the applied serological assays. The obtained data will be used to identify country-level risk factors associated with T. gondii exposure using GIS in the ArcGIS software.
CONCLUSIONS: The systematic review produced from this protocol will provide the true prevalence rate and spatial distribution T. gondii exposure in goats both regionally and globally using Bayesian hierarchical and GIS analysis.
BACKGROUND: PROSPERO registration number: CRD42020107928.
METHODS: A comprehensive literature search will be conducted using search engines, including Web of Science, ScienceDirect, Scopus, PubMed, ProQuest, EMBASE, PROSPERO Register and, Google Scholar without date and language restrictions. The authors search for cross-sectional studies that determine the seroprevalence of T. gondii in goats. Two reviewers will independently screen, selected studies; also, they will extract data, and assess the risk of bias. In case(s) of disagreement, a consensus will be reached with the help of a third author. The Bayesian hierarchical meta-analysis will use to estimate country and worldwide true seroprevalence of T. gondii, which is consist of the sensitivity and specificity of the applied serological assays. The obtained data will be used to identify country-level risk factors associated with T. gondii exposure using GIS in the ArcGIS software.
CONCLUSIONS: The systematic review produced from this protocol will provide the true prevalence rate and spatial distribution T. gondii exposure in goats both regionally and globally using Bayesian hierarchical and GIS analysis.
BACKGROUND: PROSPERO registration number: CRD42020107928.
摘要：
背景：弓形虫，一种世界性的原生动物寄生虫会导致人类以及许多家畜和野生动物的弓形虫病。弓形虫在绵羊和山羊养殖业中造成重大的经济损失，并可能导致流产，死产,先天性畸形和新生儿损失。该协议的目的是使用贝叶斯分层荟萃分析和地理信息系统（GIS）评估山羊中弓形虫暴露的全球血清阳性率。
方法：将使用搜索引擎进行全面的文献检索，包括WebofScience,ScienceDirect,Scopus,PubMed,ProQuest,EMBASE,PROSPERO寄存器和，GoogleScholar没有日期和语言限制。作者寻找确定山羊中弓形虫血清阳性率的横断面研究。两名审阅者将独立筛选，选定的研究；还有，他们会提取数据，并评估偏差的风险。如果有分歧，将在第三作者的帮助下达成共识。贝叶斯分层荟萃分析将用于估计弓形虫的国家和全球真实血清阳性率，它由所应用的血清学测定的灵敏度和特异性组成。获得的数据将用于使用ArcGIS软件中的GIS识别与弓形虫暴露相关的国家一级风险因素。
结论：根据该方案进行的系统评价将使用贝叶斯层次和GIS分析，在区域和全球范围内提供山羊中弓形虫暴露的真实患病率和空间分布。
背景：PROSPERO注册号：CRD42020107928。
方法：将使用搜索引擎进行全面的文献检索，包括WebofScience,ScienceDirect,Scopus,PubMed,ProQuest,EMBASE,PROSPERO寄存器和，GoogleScholar没有日期和语言限制。作者寻找确定山羊中弓形虫血清阳性率的横断面研究。两名审阅者将独立筛选，选定的研究；还有，他们会提取数据，并评估偏差的风险。如果有分歧，将在第三作者的帮助下达成共识。贝叶斯分层荟萃分析将用于估计弓形虫的国家和全球真实血清阳性率，它由所应用的血清学测定的灵敏度和特异性组成。获得的数据将用于使用ArcGIS软件中的GIS识别与弓形虫暴露相关的国家一级风险因素。
结论：根据该方案进行的系统评价将使用贝叶斯层次和GIS分析，在区域和全球范围内提供山羊中弓形虫暴露的真实患病率和空间分布。
背景：PROSPERO注册号：CRD42020107928。
